Advertising on the web is an ever-evolving space filled with the potential for billions of people to see your ads and literally thousands of metrics to determine who to target, when, and where. That’s why it’s important to have the right Flexible bid strategies in place when you go to try and win that all-important ad space on Google.
Pay per click ads have the potential to generate many high-quality and high converting leads to your site or business, but only if you do it right. Trying to pick the right strategy can be a mind-numbing process. Set a budget, pick a few keywords, launch inside Google Ads, and wait for results. Beyond just the headache-inducing number of metrics that are available, there is a whole realm of other considerations to make to figure out how, when, and where to run your PPC ads.
Google itself can do a lot to help you figure out who to target and when. The trouble is, unless you have experience and know exactly what you’re doing, you may find yourself wasting ad dollars on typical “set it and forget it” ad campaigns.
You’ll often find that these campaigns aren’t doing much other than throwing your money away. If you want to make the most of them, you have to stay on top of your PPC campaigns and the strategies you’re using.
That’s where bidding strategies come into play.
The right PPC bidding strategies can help you control spend, improve visibility on search results, and drive conversion value without draining your budget. The wrong approach can lead to wasted ad spend, poor performance data, and frustration.
This first section deals with how ad campaigns should operate and how to tell if yours are in a good position for new flexible bid strategies.
Before we dive into the different strategies and how to implement them, we want to set you up for success. To do that, we’re going to break down what you should be doing to put yourself in a prime position to make use of the different flexible bidding strategies that are available.
The very first thing we recommend doing if you aren’t already is getting in touch with a PPC management company. If you already have one, and they’re not using flexible bid strategies, then you may want to take a look at what you’re paying for and how much you’re paying. Oftentimes, agency fees and returns may not align with your goals or the level of service may not meet up to the needs of your particular ad campaigns. You may want to consider firing your PPC agency if you notice that they’re wasting ad dollars, you’re not seeing growth or other signs that you’re throwing money away.
Once you have that settled and you’ve gotten with an agency that knows what they’re doing, the first thing you really want them to do is to perform a PPC audit. The purpose of having an agency do a PPC audit is to get a sense of where your ad campaigns are at and what is potentially going wrong. Google Ads gives you loads of valuable data, but that doesn’t necessarily tell you what to do with it.
By getting an audit done, you can find out where your ad dollars are going, how much of a return on investment (ROI) you’re getting, and what the problems are. Not only that, but you’ll actually get actionable steps you can take to make improvements on your ad campaigns to see them grow your return on ad spend (ROAS).
They say “if it ain’t broke, don’t fix it” but if it is broke, you might want to actually know how to fix it or take it to someone who can. That’s why getting with a PPC management company and getting an audit done should be your first step.
Many advertisers jump straight into automated bidding without checking whether their foundation is solid.
Start by reviewing:
If these basics are off, even the best automated bidding strategy won’t deliver results.
Also, avoid running too many multiple campaigns targeting the same audience. That can confuse Google's algorithm and hurt performance.
Next, we’ll discuss how to analyze your marketing objectives to make sure they line up with your business goals.
Part of choosing the right bidding strategy and knowing what’s wrong and how to fix it means understanding your goals and what you’re really trying to do with your ad campaigns. It may be that depending on the type of campaign you’re running, you may find that while you think a search campaign is best, you want a local PPC campaign, because you’re trying to drive traffic to a brick-and-mortar store. Want visibility? Focus on smart bidding options like target impression share. Want leads? Consider target CPA or maximize conversions. Want revenue? Use target ROAS or maximize conversion value. If your focus is traffic, your approach will differ from someone aiming for high conversion value. Your PPC strategy should align with your business objectives, not just platform recommendations.
Through Google’s advanced resources for ad campaigns, you can help to identify your goals and the type of campaigns you should be running. Then, with the help of your ad agency, you can pick the best practices for the types of goals that you have and your advertising budget.
Google’s metrics can help you figure out what campaign to run and a PPC agency can help you execute the process, including managing your bids, increasing your bids, making changes to existing campaigns starting new campaigns, and monitoring performance.
If you find that the objectives you had set aren’t right for your business, then it may be time to pull out of any existing campaigns, reevaluate, and then relaunch. Your bidding strategy depends on what success looks like for you.
One flaw that some agencies and businesses often make is to continue to run with an existing campaign that isn’t working. Part of analyzing your marketing objectives is determining if a campaign that’s failing can be salvaged or not. There’s no point in going down with the ship if you can make it back to shore and try again later with a better boat.
Now that we’ve covered how to align your goals with your marketing strategy, it’s time to talk about how you measure success via key metrics.
Sometimes the problem isn’t even the ad campaign itself; it’s the performance data you’re using to drive the ad campaign. Realistically, if you’re using an ad agency, they should be helping you do this. If you don’t really know what you want out of your ad campaigns, it can be tricky to manage.
If for instance, you’re in the eCommerce space, but when running ads, you’re not looking at the time of day when consumers are more likely to shop and complete a purchase (we’re not talking about those 2 AM window shoppers who click ad to cart and never buy anything) then you’re likely running ads at the wrong time and not targeting the proper audience.
Additionally, the type of ad and the platform you run them on can make a major difference, too. Demographics change based on the platform the ads are seen on and the likelihood of conversion is tied to that as well.
For example, managing Facebook ads is entirely different from managing your Google search ads. Your audience changes based on the types of ads you run and not knowing who is doing what will lead to wasted ad dollars. From your Google Ads account, you can see all the data you could ever need to figure out who’s logging on, where they’re seeing your ads, when they’re most likely to click them, and when they actually follow through and convert.
If your ad timing or methods aren’t meshing with the majority of your traffic, then it’s a safe bet that you’re wasting your money and your PPC bidding will never be cost effective.
It’s also important to note that these metrics aren’t static values that you can keep running with forever once you know them. Marketing is ever-moving, ever-changing and you have to put in the work to keep up. That’s why we recommend having a marketing agency do the work, but making sure that it’s one that has your goals in mind and is willing to stay on top of the key metrics, historical conversion data, and the space you’re in to keep your ads performing their best. Also, remember that bidding algorithms rely heavily on machine learning, so feeding them clean data is critical.
That’s why we’ve written this guide to flexible bid strategy in the first place. There are some experts and businesses that still believe that once you’ve locked in a bid strategy that works, you’re good to go. That’s not how ad campaigns or marketing in general operate. What works today may stop working tomorrow. Flexible bid strategy are designed to be just that, flexible.
The next section covers what automated or manual bidding actually is and how it works. We know some readers have a good grasp of the concept, but for those that don’t, this is key information before implementing a flexible bid strategy aims.
Just because flexible bid strategies have the word flexible in their name doesn’t mean that you can just set them and change them any way you choose at any time. Many advertisers worry they’ll lose control with automated bidding. That’s not really the case. Instead, automated bidding strategies use machine learning and historical data to adjust bids in real time during the ad auction. The better you understand automated bidding, the better you can make use of the powerful tool that it is.
All automated bidding strategies work off of parameters that you set. This means that if it doesn’t work, it’s likely tied back to something you told the program to do. With enough input and the right configurations, automated or different flexible bidding strategies can work like magic for your ad campaign, routinely scoring you the optimal converting ad space you need to drive loads of high converting traffic to your site. That’s why PPC automation works best when guided by strong campaign goals, clean conversion tracking, and ongoing monitoring.
That’s why we said that it’s not about a “set it and forget it mentality.” You have to constantly monitor your flexible bid strategies and adjust them to meet your needs as they change. As your business grows, your audience grows and changes with it. To think of it logically, think about ads that are run for products, consider what happens if new products are added to an existing line, the target audience may change and grow with the product line. That means your existing ad campaigns need to adjust too.
Flexible bid strategies allow you to move and adjust parameters on the fly. The different strategies also allow you to account for different metrics and adjust your return expectations if your audience and traffic volume change. If you have more traffic but few conversions, you can adjust your ad strategy to maximize conversions for the increased traffic flow.
The upcoming section deals with flexible bid strategies in practice and how to properly implement them based on your needs. We included some key pointers that apply to each strategy and how best to use them.
All your bidding strategies can be managed through your Google Ads account dashboard. From the dashboard, you can see all of the different ad strategies that you have available and can create and modify them as you see fit.
Among your choices, there are 6 different bidding strategies that allow Google Ads to automate your bidding process while giving you the control you need to adjust your bids if something isn’t working or your market changes.
This is one of the standard PPC bidding strategies and is used when you want your bids to drive traffic over all else. It’s useful for new campaigns or when testing keyword research, but it can quickly lead to wasted ad spend. You can control spending by setting a maximum bid amount and a maximum daily ad spend amount. This does not factor in conversion rates or other factors. It will target based on your set keywords, and the bidding will moderate within your set/target spend amount so that you don’t go over your daily budget.
This strategy is best implemented when your main goal is just to get more people to see your site over all else. As we said, this focuses on clicks and not conversions, but sometimes click volume can relate to conversion and brand recognition. The ability to set and monitor spending lets you have more control over ad spend if you’re on a tight budget, or if you’re experimenting with a new ad campaign and want to see what type of results you can get without breaking the bank.
You can, of course, implement this strategy without setting daily spending limits/target spend amount, but this can burn through your ad spend budget. Our best implementation advice is to use this strategy when you need maximum site traffic without blowing your ad budget.
Target ROAS bidding strategies are great for when you want to win auctions that offer a certain conversion value for the ad dollars you spend. In the case of this strategy, you can set a percentage value for what type of return you want on every ad dollar that is spent, and Google will automatically adjust bid amounts and auction preferences based on available data.
There are a few caveats to this strategy. Target ROAS strategies are built to get you the most return they can; this means that they will only target auctions based on the available data and are likely to generate the set return based on the available data. This also means that in most cases, they will spend whatever is calculated to be necessary to win auctions. This can be a problem if you don’t set the values for your maximum daily ad spend and the maximum cost per click.
Even with high returns, you can find yourself spending more per click than you end up actually converting. For example, say you pay $15 to get 3 new customers, sounds great right? But then those customers come into your store and only spend $3 each. You’ve effectively spent more for customers than you gain by acquiring them. ROAS strategies aren’t perfect, so you’re working partly on data and partly on guesswork.
The second issue is that if your ROAS is set too high, you may find that the bidding is too selective and you don’t wind up winning very many auctions as a result, meaning fewer ads overall.
If you have great metrics and lots of data built up to facilitate a solid understanding of the types of auctions to bid on, then a targeted ROAS strategy is the perfect option to ensure that your ad dollars aren’t wasted. Just make sure you set a spending maximum bid limit so you don’t outpace your budget. This works well when you have strong historical conversion data and clear revenue tracking.
This is another targeted strategy that bids based on a set value. In this case, it’s the cost per customer or cost per acquisition. Target CPA is ideal for lead generation. It aims to bring in conversions at a specific cost. This is not to be confused with a cost-per-action model that calculates costs based on clicks or other actions. A cost per acquisition targeting strategy bids on ads based on an average set by the campaign owner.
Google will adjust bids higher or lower, within a range of the target Cost Per acquisition in order to win auctions. Target cost per acquisition, You must have at least 15 conversions in the past 30 days and an average conversion rate over the last 7 days in order to implement this strategy. Beyond the base requirements, like other targeting strategies, the more historical data you have about past conversions and customer data you can feed into it, the better it will perform.
This strategy is ideally implemented when you’re interested in achieving valuable conversions while controlling the cost. This type of targeting strategy has more control than a ROAS strategy as the bidding can fluctuate within a set range without spending too high or bidding on too few auctions.
This strategy is an evolved form of the standard cost per click model. This blends manual bidding with automated strategy elements. It takes the standard cost per click structure and automatically adjusts the bidding up or down within a set range to win auctions that maximize conversions.
A standard CPC campaign bids on auctions at or under a certain cost per click without regard for other factors. This is done to control spending. Enhanced CPC gives the same measure of control over PPC bidding while accounting for conversion rates. This means that you can control cost per click spending while still getting the benefits of higher conversion rates.
If you’re trying to control spending and need to reign in CPC, but still want ads that convert, this is a valuable strategy.
This strategy is used when you want your ads to rank higher than competitors on Google search results pages. The automated bidding algorithm will adjust or increase your bid to beat out a competitor to either appear higher up on the SERP or to appear more frequently than a competitor.
The strategy is based on estimates and attempts to win auctions over competitors so that when ads are displayed yours show up first or more frequently. The issue with this strategy is that it does not actually raise your ad rank, the spending is not as easy to monitor, and there are no guarantees that you will always outrank your competitors as the results are estimates based on available data.
This is a useful strategy when you have a competitive market and are trying to gain some market share over others. Be mindful of your spending and you can make some ground in the market by manipulating ad placement to your advantage. It’s useful in competitive markets but requires careful budget allocation to avoid overspending.
The goal of the target search Page Location strategy is to get your ad either on the top of the page or somewhere on page one of search results. Marketers know how valuable SERP placement is, especially on page one.
A target search Page Location strategy cannot guarantee that you will end up on the top of a page or that you will land on page one of the SERP. Each individual auction is different and based on the number of competitors and your quality score, your placement will change with these factors and the result of the auction.
While the Target search Page Location strategy isn’t bulletproof, Target search Page Location are the best option when you’re trying to maximize visibility over all else. It can help you appear on page one or on the top of pages and at the very least ensures that people will see your ads some of the time.
To make your PPC bidding strategies work:
Also, remember that manual bidding still has value in certain situations, especially when testing or controlling costs early on.
Even experienced advertisers run into issues with bidding strategies.
Watch out for:
These mistakes can hurt performance across both Google Ads and platforms like Microsoft advertising or Microsoft ads.
So, there we are, the 6 flexible bid strategies and how best to use them to improve your business and PPC campaigns. Hopefully, we’ve given you the advice and strategies you need to use each of these strategies to the best of their potential. Whether you’re trying to control spending, improve exposure, use smart bidding, test manual bidding, analyze your performance data, beat your competitors, or maximize conversions, one of these flexible bid strategies will work for you.
As long as you remember to set your parameters and monitor your bids, these options offer more control and more choice than typical bid strategies and will improve your odds of success. Remember, PPC isn’t something you can set on autopilot. The best results come from combining human insight with machine learning, not choosing one over the other. Do your research, keep tabs, and get help from a PPC agency to maximize your marketing effectiveness. If you stay flexible, monitor your results, and align your bidding strategies with real business goals, you’ll build cost effective campaigns that actually deliver.
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The SaaS marketing landscape has shifted from aggressive acquisition to disciplined, efficiency-driven growth. Over the past 12–24 months, rising acquisition costs, tighter budgets, and longer sales cycles have pushed companies to rethink how they attract and retain customers. Growth is still there, but it’s no longer coming from “spend more, scale faster.” It’s coming from smarter targeting, stronger positioning, and better lifecycle marketing.
Customer acquisition strategies are moving away from broad, paid-heavy funnels toward more balanced systems. Product-led growth (PLG), organic search, community building, and partner ecosystems are taking on a larger role. Paid channels still matter, but they’re under pressure to prove ROI faster. Many teams are reallocating budget toward owned channels like email, SEO, and content, where compounding returns are easier to justify.
Performance benchmarks are tightening. CAC has increased across most SaaS categories, especially in B2B, while conversion rates have plateaued or declined slightly due to buyer fatigue and increased competition. At the same time, retention and expansion metrics are getting more attention than ever. Net revenue retention (NRR), product adoption, and onboarding efficiency are now just as important as top-of-funnel metrics.
There’s also a noticeable shift in buyer expectations. SaaS buyers want faster value, clearer messaging, and less friction. They expect personalized experiences but are more cautious about data privacy. Long demos and generic nurture sequences are losing effectiveness. In their place, we’re seeing shorter sales cycles driven by self-serve experiences, transparent pricing, and proof-based marketing like case studies and peer reviews.
SaaS is still growing, but it is no longer a “just show up and win” market. The sector has moved into a more disciplined phase where buyers expect faster time-to-value, vendors face heavier competition, and category leaders are separating themselves through distribution, retention, and ecosystem strength, not just product breadth. In practical terms, that means the market is big, still expanding, and much less forgiving. (Grand View Research, Gartner)
There is no single universally accepted SaaS TAM number, because firms define the category differently. A conservative benchmark from Grand View Research puts the global SaaS market at $399.1 billion in 2024, with a projection of $819.2 billion by 2030. A more aggressive view from Fortune Business Insights values the market at $315.7 billion in 2025 and forecasts it to reach $1.48 trillion by 2034. The gap matters less than the shared direction: every major forecast points to strong structural expansion, with cloud-delivered software still taking share from legacy deployment models. (Grand View Research, Fortune Business Insights)
For marketers, the important read is this: TAM is still expanding, but the easy whitespace is shrinking in mature categories like CRM, collaboration, and marketing automation. Growth is increasingly concentrated in AI-enabled workflows, vertical SaaS, security, data infrastructure, and tools that can prove hard-dollar ROI. That last point is partly an inference, but it is supported by IDC’s view that SaaS applications remain the largest slice of public cloud spend, while AI platforms are among the fastest-growing areas of cloud investment. (IDC, Techiexpert.com, Gartner)
Using the most defensible public estimates, the sector is growing at a healthy double-digit clip. Grand View Research projects a 12.0% CAGR from 2025 to 2030 for SaaS overall. IDC says SaaS applications are expected to grow at a 16.5% five-year CAGR through 2028 within the broader public cloud market. Gartner’s broader public cloud forecast also shows strong momentum, with total public cloud end-user spending rising from $561.0 billion in 2023 to $675.4 billion in 2024 and $723.4 billion in 2025. (Grand View Research, IDC, Gartner)
That growth, though, hides a more complicated operating reality. Revenue pools are expanding, but go-to-market efficiency has tightened. Marketing budgets are not rising at the same pace as the opportunity. Gartner’s 2025 CMO Spend Survey found budgets flat at 7.7% of company revenue, which tells you something important: SaaS marketing leaders are being asked to capture growth in a larger market without assuming bigger budget cushions. (Gartner, Gartner)
Digital adoption is no longer the story. Depth of adoption is. Gartner forecasts that 90% of organizations will adopt a hybrid cloud approach through 2027, which reinforces how mainstream cloud software has become in enterprise environments. IDC also expects SaaS applications to account for more than 40% of public cloud spending in 2024, underscoring how central subscription software has become to enterprise tech stacks. Okta’s 2025 Businesses at Work report adds another practical signal: security, compliance, identity, and passwordless tools are now deeply embedded in day-to-day business operations, not treated as edge investments. (Gartner, Techiexpert.com, Okta)
One useful nuance here: adoption is broad, but not endless. BetterCloud’s 2025 State of SaaS framing points to a decline in pure app proliferation, suggesting the market is shifting from “add more tools” to “rationalize the stack.” That is a meaningful change for marketers. Winning is less about entering a greenfield software environment and more about replacing incumbents, consolidating categories, or proving that a new AI layer deserves budget. (BetterCloud, a CoreStack Company, BetterCloud, a CoreStack Company)
The SaaS sector is not one thing. It is better described as unevenly mature.
So, if you need one clean label for the sector overall, it is this: maturing, with pockets of saturation and a few breakout frontiers. That matters because marketing strategy changes by maturity level. In saturated markets, brand, proof, and distribution efficiency do the heavy lifting. In earlier markets, education and category creation still matter. In maturing markets, both jobs happen at once, which is why SaaS marketing feels harder right now than it did a few years ago. (Gartner, McKinsey & Company, BetterCloud, a CoreStack Company)
SaaS buyer behavior has changed in a way that quietly rewrites marketing strategy. Buyers are not waiting for sellers to explain the category anymore. They are researching earlier, comparing more options in parallel, and forming preferences before they ever fill out a demo form. In 6sense’s 2024 B2B Buyer Experience Report, 81% of buyers said they had already picked a preferred vendor before first contact with sales. That is a huge signal for SaaS teams: brand visibility, category education, review presence, and proof assets now shape the deal long before pipeline appears in the CRM. (6sense, 6sense)
For most B2B SaaS companies, the real buying unit is not a single persona. It is a small committee with competing incentives. A typical SaaS buying group includes an economic buyer focused on budget and business impact, a functional lead focused on workflow fit, a technical evaluator focused on security and integrations, and one or more end users who care about ease of use and speed. McKinsey’s 2024 B2B Pulse research shows that buyers want a balanced mix of digital self-service, remote human interaction, and in-person engagement across the journey, which reinforces the idea that SaaS marketers are not building for one lead, but for multiple stakeholders moving through different information needs at the same time. (McKinsey & Company, McKinsey & Company, McKinsey & Company)
In practical terms, the strongest SaaS ICPs now share five traits. They have a painful, measurable workflow problem. They can justify software spend against revenue, cost, risk, or productivity. They expect short time-to-value. They prefer to learn independently before talking to a rep. And they increasingly need internal consensus before purchase, especially when the product touches security, data, or company-wide processes. Gartner’s 2025 sales survey adds another layer: 61% of B2B buyers prefer a rep-free buying experience overall, which makes frictionless research and self-serve evaluation much more important than they used to be. (Gartner, Gartner)
The demographic shift is subtle but important. More purchase influence is moving toward millennial and Gen Z professionals, especially in mid-market and digital-native teams. Forrester predicts that more than half of large B2B transactions above $1 million will be processed through digital self-serve channels, reflecting a buyer base that is more comfortable with digital-first evaluation and less patient with slow, rep-controlled journeys. (Forrester)
Psychographically, the strongest pattern is skepticism. Buyers are still open to new tools, especially AI-enabled ones, but they are harder to impress. They want proof, not hype. Salesforce’s latest connected customer research found only 42% of customers trust businesses to use AI ethically, down from 58% in 2023. That trust gap matters a lot for SaaS marketers leaning on personalization, automation, or AI-heavy product messaging. It means the winning tone is confident and specific, not breathless. (Salesforce, Salesforce)
Another shift: convenience is no longer a nice extra. It is expected. McKinsey’s 2024 B2B Pulse shows buyers continue to prefer a mix of channels, split roughly in thirds across in-person, remote, and digital self-service interactions. That is a useful reminder that “digital-first” does not mean “digital-only.” Buyers want control when researching, but they still want expert access when risk or complexity rises. SaaS teams that force either extreme usually lose points. (McKinsey & Company, McKinsey & Company, McKinsey & Company)
The SaaS buyer journey is now heavily front-loaded online. Discovery happens through search, peer recommendations, review platforms, communities, analyst content, podcasts, LinkedIn, and AI-assisted research. Shortlists often form before a rep is involved. That is why content built for “problem framing” and “vendor confidence” tends to outperform generic thought leadership. If buyers already arrive with a favorite, marketing’s job starts much earlier than traditional lead capture models assume. (6sense, 6sense)
Offline and human-assisted moments still matter, but usually later. They show up during technical validation, stakeholder alignment, pricing negotiation, or final risk reduction. Gartner’s guidance on hybrid buying and McKinsey’s rule-of-thirds research both point in the same direction: buyers want self-serve discovery, then selective human help where uncertainty is highest. That means SaaS marketing should treat the website, demo environment, onboarding preview, pricing page, and case study library as part of the sales team, not just support materials. (Gartner, McKinsey & Company, McKinsey & Company)
The expectation stack has gotten tougher.
First, privacy and trust. Buyers still want tailored experiences, but they are more cautious about how their data is used. Salesforce’s customer research makes that tension clear: people want relevance, but they are uneasy about opaque AI and data practices. For SaaS, that puts pressure on transparent consent, clear data handling language, and personalization that feels useful instead of creepy. (Salesforce, Salesforce)
Second, speed. Buyers expect fast answers, quick setup, and visible value early in the relationship. That is one reason product-led motions, free trials, interactive demos, and transparent pricing pages keep gaining ground. A slow handoff process now feels like a warning sign, not just a mild annoyance. Gartner’s finding that a majority of buyers prefer rep-free experiences only reinforces this. (Gartner, Gartner)
Third, personalization with substance. Buyers do not just want their first name in an email subject line. They want messaging that reflects their industry, use case, maturity, and likely objections. In a category as crowded as SaaS, relevance often beats volume. That is also why vertical landing pages, role-based nurture streams, and industry-specific case studies have become much more important than broad one-size-fits-all campaigns. This last point is an inference from the broader buying research, but it follows directly from the rise in independent research behavior and consensus buying. (6sense, McKinsey & Company)
If Section 3 was about how buyers behave, Section 4 is about where that behavior turns into measurable performance.
The short version is this: no single channel “wins” SaaS marketing anymore. Paid search still captures intent, SEO still compounds, email still punches above its weight for retention, and paid social still matters for demand creation and remarketing. But the gap between efficient and wasteful execution has widened. Costs are up in auction-based channels, buyers are less patient, and the channels that work best now tend to be the ones that match buyer intent instead of forcing it. (WordStream, HubSpot Blog, Content Marketing Institute)
Across marketing budgets overall, paid media remains the single largest resource area at 30.6% of spend in Gartner’s 2025 CMO Spend Survey. That matters because it confirms something many SaaS teams feel every quarter: performance marketing is still central, even while finance teams push harder on efficiency, attribution, and payback. In parallel, content and owned channels are holding their ground because they help reduce dependence on ever-more-expensive paid acquisition. (Gartner, Gartner)
These benchmarks are best read as directional ranges, not promises. They vary by SaaS segment, ACV, audience quality, funnel stage, offer strength, and landing-page quality. For example, enterprise cybersecurity SaaS and SMB productivity SaaS can live in very different worlds even on the same platform. Still, these are useful planning anchors.
If you zoom out, the SaaS martech stack is getting both bigger and more opinionated at the same time. Bigger because teams keep adding AI, analytics, and workflow tools. More opinionated because they are no longer buying software just to “have a stack.” They want a tighter operating system for revenue. MarTech’s 2025 State of Your Stack Survey found that 62.1% of respondents use more tools than they did two years ago, CRM is the most-used category at 86.4%, marketing automation is at 76.9%, analytics/BI is at 72.2%, and generative AI tools have already climbed to 68.6% of stacks. At the same time, 65.7% said data integration is one of their biggest stack-management challenges, which tells you exactly where the friction lives. (MarTech)
For SaaS marketers, the stack usually revolves around four layers: system of record, campaign orchestration, analytics, and activation. The system of record is still CRM. On that front, Salesforce remains the heavyweight. Salesforce says IDC ranked it the #1 CRM provider again, with 20.7% worldwide CRM share in 2024. A different methodology from Apps Run The World puts Salesforce at 26.1% share of the 2024 CRM applications market, with Adobe, HubSpot, Oracle, and SAP behind it. The exact percentage changes by dataset, but the directional truth is clear: Salesforce still owns the enterprise conversation, while HubSpot keeps gaining credibility as the all-in-one option for mid-market and growth-stage teams. (Salesforce, APPS RUN THE WORLD)
That split shows up in user sentiment too. Gartner Peer Insights compares HubSpot and Salesforce in the CRM Customer Engagement Center market and shows HubSpot at 4.6 stars versus Salesforce at 4.4, though Salesforce has far more review volume. Read that carefully: Salesforce still dominates by footprint and complexity tolerance, but HubSpot often wins on usability and speed to value. In SaaS, that usually maps to company stage. Enterprise teams still lean Salesforce. Mid-market SaaS teams often lean HubSpot when they want tighter sales-marketing-service alignment without a six-month implementation story attached to it. (Gartner)
On the marketing automation side, HubSpot Marketing Hub and Adobe Marketo Engage remain two of the clearest reference points. Gartner Peer Insights lists HubSpot Marketing Hub at 4.4 stars across 2,605 ratings and Adobe Marketo Engage at 4.3 across 1,055 ratings. HubSpot’s review language leans toward “unified,” “user-friendly,” and “strong CRM integration,” while Marketo’s positioning still centers on customization, orchestration, and depth. That is the classic tradeoff: HubSpot tends to win where speed, simplicity, and integrated reporting matter most; Marketo tends to win where workflow complexity and enterprise-grade control matter more than ease. (Gartner, Gartner)
For product and growth analytics, the market is still anchored by Amplitude and Mixpanel. Gartner Peer Insights shows Amplitude at 4.4 stars with 337 reviews and Mixpanel at 4.5 with 115 reviews in web, product, and digital experience analytics. In practical SaaS terms, both sit in the “high-adoption, high-satisfaction” tier for product-led growth teams. Amplitude tends to be favored in larger, more mature experimentation environments, while Mixpanel remains strong with teams that want speed and sharp event-based analysis without excess ceremony. (Gartner)
For customer data and activation, the market is getting more interesting. Twilio Segment still has strong satisfaction signals in Gartner’s CDP category, where Gartner lists Segment at 4.5 stars with 95 ratings. Hightouch, meanwhile, is a good read on where the stack is going, not just where it has been. G2 shows Hightouch with 4.6 out of 5 across 386 reviews, and MarTech’s 2025 research plus Chiefmartec’s 2025 landscape work both point in the same direction: warehouse-first architectures, composable activation, and homegrown extensions are becoming much more normal. In plain English, more SaaS teams want their data warehouse to act like the truth layer, then push clean data into downstream tools instead of trapping identity and audience logic inside one monolithic suite. (Gartner, G2, Chief MarTec, MarTech)
The most important shift is not that one giant vendor suddenly disappeared. It is that the center of gravity is moving. MarTech’s 2025 State of Your Stack Survey shows nearly a quarter of respondents expect new tools and capabilities to come from homegrown solutions in the next 12 to 24 months, and Chiefmartec reports that custom-built platforms in B2B jumped from 2% to 10% as the identified center of the stack. That is not a mass exodus from commercial software. It is a sign that AI, APIs, and low-code tooling are making “buy plus build” a lot more realistic. (Chief MarTec, MarTech)
The replacement data is even more revealing. In MarTech’s 2025 Replacement Survey, marketing automation replacements fell from 31.1% in 2024 to 19.4% in 2025, CRM replacements dropped from 22.1% to 9.7%, and email distribution replacements fell from 24.3% to 13.7%. Analytics/BI was the only category that grew year over year, inching from 19.6% to 20.2%, while CDP replacements also nudged up from 11.9% to 12.9%. That does not mean automation or CRM are dead. Quite the opposite. It suggests those categories are maturing, harder to rip out, and increasingly being extended instead of replaced, while analytics and data tooling keep evolving because teams are still chasing a cleaner view of performance and customer behavior. (MarTech)
There is also a meaningful shift in data architecture. Chiefmartec’s 2025 landscape notes that in B2B companies, CRM or marketing automation still tends to sit at the center of the stack, but in B2C and hybrid models, cloud data warehouses rose while CDPs lost share as the center platform. MarTech’s stack survey reinforces the same pressure from a different angle: data silos were the top concern about the future of the martech stack, and integration was one of the biggest current management challenges. That is why warehouse-native and reverse-ETL tools are getting so much attention. The pain is less “we lack tools” and more “our tools do not share context fast enough.” (Chief MarTec, MarTech, Hightouch)
The safest way to think about modern SaaS integrations is as a chain, not a menu.
First comes CRM plus marketing automation. That remains the core handoff between demand generation, lifecycle, and sales. G2’s own category guidance for marketing automation explicitly emphasizes CRM integration because that is what lets teams connect lead scoring, nurturing, attribution, and closed-won revenue. This is still the non-negotiable integration in B2B SaaS. (G2)
Next comes the data layer. More teams are wiring CRM, product analytics, support data, billing, and usage signals into a warehouse or lakehouse, then activating that data back into ad platforms, email tools, and sales systems. Chiefmartec has been blunt about this trend, describing the universal data layer as a major martech direction, while Hightouch’s 2025 data report argues that the real problem is usually not tool count but data accessibility. In other words, the winning integration pattern is less about stitching apps together one by one and more about making customer data portable across the stack. (Chief MarTec, Hightouch)
Then comes product-plus-marketing integration. This is where SaaS is a little different from many other sectors. Product analytics tools like Amplitude and Mixpanel are no longer just for product managers. They are increasingly tied into lifecycle messaging, expansion campaigns, onboarding triggers, and account scoring. That shift matters because SaaS growth now depends more on activation and retention than on raw lead volume alone. The tools that can connect product behavior to marketing orchestration are gaining strategic weight for exactly that reason. (Gartner, MarTech)
Creative is doing more of the selling now.
That sounds obvious, but it has real consequences for SaaS marketers. Buyers are seeing more ads, more AI-written content, more product noise, and more lookalike claims than they were even a year ago. So the creative that breaks through is not the prettiest or the loudest. It is the clearest, the most believable, and the fastest to connect a pain point to an outcome. LinkedIn’s Creative Labs research, based on more than 13,000 B2B video ads, found that some video styles materially outperformed others on engagement and dwell time, which is a strong reminder that format and storytelling choices now shape results far more than surface polish alone. (Search Engine Land, PPC Land)
The broad trend is a shift away from polished, corporate-sounding creative and toward formats that feel direct, useful, and human. Content Marketing Institute’s 2025 B2B benchmarks show that short articles/posts, videos, and case studies are among the most-used content formats, while top-performing teams are also using AI heavily without letting it flatten their point of view. (Content Marketing Institute)
In practice, five creative patterns are showing up again and again in strong SaaS campaigns:
The best CTAs in SaaS are getting more concrete, less needy, and more tied to buyer intent.
The old blunt calls like “Contact Us” or “Learn More” still exist, but they are usually weak unless the buyer already knows exactly what they want. High-performing SaaS CTAs now tend to fall into three buckets:
That pattern lines up with what practitioners keep seeing on SaaS landing pages: lower-friction CTAs work better earlier in the journey, while high-intent CTAs perform when the page already carries proof, clarity, and urgency. HubSpot’s own CTA reporting framework centers on click rate and downstream conversion analysis, which is a good reminder that CTA performance is not about button copy alone. It is about matching the ask to buyer readiness. (HubSpot Knowledge Base)
There is also a real shift in tone. The best CTAs sound helpful, not pushy. “See how it works” usually feels safer than “Request your consultation now.” In SaaS, that matters because many buyers are still self-educating and do not want to be forced into a sales process too early. Gartner’s recent finding that 61% of B2B buyers prefer a rep-free buying experience makes that tone shift even more important. (Forrester)
Short-form video is no longer optional filler. It has become one of the clearest creative growth areas in both B2C and B2B. On LinkedIn, video is shared far more than other formats, and LinkedIn Creative Labs found that different storytelling styles can produce major differences in engagement outcomes. Search Engine Land’s coverage of that study notes that cinematic brand films drove 129% engagement lift, while “real talk” video styles improved dwell time significantly. (Search Engine Land)
Carousels are also holding up well because they let SaaS brands teach, compare, and sequence information without demanding too much upfront attention. This is especially useful for product education, “before vs. after” stories, competitive alternatives, and myth-busting creative. Third-party LinkedIn benchmark roundups also continue to point to stronger engagement from richer visual formats such as carousel and video compared with basic static placements, though exact outcomes vary a lot by execution quality. (huble.com, Marketing LTB-)
Then there is the UGC effect. In B2B SaaS, true UGC is less common than in consumer categories, but the style has crossed over hard. Marketers are using customer clips, screen-recorded walkthroughs, rep or founder videos, day-in-the-life explainers, and lightly edited testimonial-style content because it feels more believable than polished brand ads. Even when the source is internal, the winning aesthetic is usually “credible person with something useful to say,” not “studio voice reading approved copy.” (Marketing LTB-, Oktopost)
SaaS messaging has become more outcome-led and less feature-led. That is the big story.
In security and IT SaaS, trust language still matters, but empty safety claims are not enough anymore. Buyers want specifics: compliance posture, deployment clarity, incident prevention, governance, and integration fit. In finance or RevOps SaaS, the winning angle is often time saved, visibility improved, revenue leakage prevented, or manual work removed. In HR or collaboration SaaS, the message tends to perform better when it is framed around speed, consistency, and team adoption rather than broad digital transformation talk.
AI messaging is where a lot of brands go sideways. Buyers are interested, but they are skeptical. Salesforce’s latest connected-customer research showed trust in ethical AI use remains limited, and Gartner reported that poor personalization can actually raise customer regret and lower future purchase intent. So “AI-powered” works best when it explains the job being done, not when it floats as a vague badge on top of weak positioning. (Qualtrics, Gartner)
That leads to one of the clearest messaging rules in SaaS right now: the more advanced the product sounds, the more concrete the copy needs to be.
The most useful SaaS campaigns from the last 12 months did not win because they were flashy. They won because they matched channel to buyer intent, tightened the handoff between content and conversion, and measured the part that actually matters: pipeline, lead quality, acquisition efficiency, or revenue impact.
That is the thread running through the three campaigns below. One used AI-assisted content and lifecycle orchestration to drive more leads and revenue. One turned affiliate infrastructure into a growth engine. One used an unexpected platform and a webinar-first motion to open a new market with lower acquisition costs. Different plays, same lesson: strong SaaS marketing now looks less like “more activity” and more like system design. (HubSpot, impact.com, Hashmeta)
HubSpot’s recent FBA case study is one of the cleaner examples of an efficiency-first SaaS-adjacent growth campaign. According to HubSpot, after adopting Breeze, FBA increased content production by 250%, improved lead generation by 216%, and saw a 63% revenue boost. The core move was not simply “use AI.” It was using AI to remove production bottlenecks, speed up useful content creation, and better connect marketing output with sales follow-through. (HubSpot)
What made it work was the sequence. First, FBA attacked internal friction. Then it turned that extra content velocity into more lead generation. Then it connected that volume to revenue instead of stopping at vanity metrics. That matters because a lot of SaaS teams are currently over-focusing on AI content throughput while under-focusing on whether the extra output actually improves funnel performance. FBA’s result is more convincing precisely because it ties content scale to lead and revenue movement. (HubSpot)
Channel mix: AI-assisted content creation, CRM-driven orchestration, sales-marketing alignment.
Goal: Increase lead generation efficiency and support revenue growth.
Reported result: +250% content production, +216% lead generation, +63% revenue. (HubSpot)
The strategic lesson here is simple. AI works best when it removes friction inside a working system. It does not rescue weak positioning. It accelerates a sound engine.
A more unusual but very relevant campaign came from Semrush’s affiliate program migration on impact.com. The published case study says Semrush achieved 400% growth in new affiliate partner sign-ups within six months of migration, while successfully migrating more than 1,000 partners and modernizing attribution from a 10-year cookie life to a 120-day window. (impact.com)
This is a strong campaign example because it is not just a tech migration story. It is really a partner-marketing and channel-operations story. Semrush treated affiliate growth as a structured acquisition channel, improved attribution logic, cleaned up the partner experience, and made the program easier to manage and scale. In a SaaS environment where paid media costs remain high, this kind of partner-led acquisition system can create a very attractive supplement to search and social. (impact.com, Global Performance Marketing Awards)
Channel mix: Affiliate/partner marketing, attribution redesign, platform migration, automated partner operations.
Goal: Scale partner acquisition without disrupting an existing ecosystem.
Reported result: +400% new affiliate partner sign-ups in six months, 1,000+ partners migrated. (impact.com)
Why it worked comes down to three things. The channel fit was strong because Semrush already had a product people recommend. The operational experience improved for partners, which usually matters more than brands admit. And attribution was modernized, which made performance easier to trust. That combination is what made the campaign scalable instead of merely functional. (impact.com)
Hashmeta’s September 2025 case study is worth including because it shows how channel assumptions can blind SaaS teams. The campaign used Xiaohongshu, which many Western marketers still associate more with lifestyle and consumer discovery than B2B demand generation. According to the case study, the campaign generated 1,200 qualified leads, delivered 240% ROI against campaign targets, achieved a 77% webinar attendance rate, and lowered cost per lead by 62%. The strategy included authority-building posts, partnerships with three business KOLs, teaser videos, community engagement, and a webinar structured around localized case studies. (Hashmeta)
This one stands out because it did not treat the platform like a standard ad buy. It used content to build credibility first, then converted that trust through a webinar format that matched the market’s information needs. That sequencing is exactly why it is useful for SaaS marketers. It is a reminder that non-traditional channels can work when the format matches buyer behavior and the content feels native to the platform. (Hashmeta)
Channel mix: Organic authority content, KOL support, teaser video, community engagement, webinar conversion.
Goal: Break into China’s SaaS market and generate qualified leads efficiently.
Reported result: 1,200 qualified leads, 240% ROI vs. target, 77% attendance rate, 62% lower CPL. (Hashmeta)
One note of caution: this is an agency-published case study rather than an independently audited benchmark, so it is best read as a strong directional example rather than a universal planning baseline. Still, the underlying strategic logic is sound. (Hashmeta)
The big shift in SaaS is that teams are moving away from vanity reporting and toward stage-specific accountability. That means awareness is judged less by raw reach and more by efficient attention, consideration is judged by meaningful engagement, conversion is judged by lead quality and sales movement, and retention is judged by expansion and revenue durability, not just clicks or opens. ChartMogul’s retention research says the economics of SaaS have changed enough that existing-customer expansion is now a bigger growth driver than it was a few years ago, especially for companies above $15M ARR. (ChartMogul, SaaS Capital)
SaaS marketers are dealing with a weird mix right now: more tools, more reach options, more automation, and somehow less margin for error. The challenge is not a lack of channels. It is that every channel is getting noisier, pricier, or harder to measure cleanly. The opportunity is that teams willing to tighten their data, creative, and retention systems can still outperform, even in a tougher environment. (WordStream, HubSpot, get.rivaliq.com)
Paid acquisition is still essential, but it is getting harder to brute-force growth through auction-based media. WordStream’s 2025 Google Ads benchmark report says search advertising costs have been rising year over year for the last five years, and that trend is still continuing. In SaaS, that hits especially hard because many of the most valuable keywords already live in crowded, high-intent categories where multiple vendors are bidding for the same buyer. (WordStream)
That creates a painful chain reaction. Higher CPCs and CPMs push up CAC. Higher CAC puts pressure on payback windows. And once payback gets uncomfortable, marketing teams have to prove not just that they can generate pipeline, but that they can generate efficient pipeline. This is exactly why more SaaS teams are shifting part of their budget toward SEO, lifecycle email, product-led acquisition, and partner channels. Not because paid stopped working, but because relying on it too heavily has become expensive and fragile. This is an inference, but it follows directly from rising paid-media costs and flatlined marketing budgets. (WordStream, Content Marketing Institute)
Privacy pressure did not disappear just because Google’s cookie plan got messy. In fact, the operating reality for marketers is now more annoying, not less. Google’s Privacy Sandbox update confirmed that the company stepped back from a full third-party-cookie phaseout timeline in Chrome, but that does not remove the broader trend toward tighter user control and stricter consent expectations. (Privacy Sandbox)
At the same time, regulators are still actively targeting bad consent experiences. The UK ICO announced in January 2025 that it would bring the top 1,000 websites into compliance review around cookie usage, and its published enforcement letters make clear that sites must offer a real reject option at the same point they ask for consent. California is also continuing active enforcement under the CCPA, including recent settlements and a public enforcement page that specifically calls out confusing opt-out flows and dark-pattern-like design choices. (ICO, ICO, California Attorney General, California Attorney General)
For SaaS marketers, the practical implication is simple. First-party data is more valuable. Clean consent flows matter more. And lazy personalization that depends on shaky tracking is becoming less defensible both legally and strategically. The opportunity here is trust: companies that make consent cleaner and data use clearer can turn compliance into a conversion advantage instead of treating it like a legal tax. (ICO, ICO)
AI is now firmly inside the marketing operating model. Content Marketing Institute’s 2025 B2B benchmark report highlights AI as a major investment and priority area for B2B marketers, while HubSpot’s 2025 State of Marketing AI report says adoption and literacy are at all-time highs across the surveyed base. McKinsey’s 2025 global AI survey also found that organizations are moving beyond experimentation and increasingly using AI to drive measurable value. (Content Marketing Institute, HubSpot, McKinsey & Company)
But this is where the opportunity and the risk sit right next to each other. AI can absolutely help SaaS teams produce more content, test more variants, personalize messaging faster, and speed up campaign execution. It can also flood the market with bland sameness. The Wall Street Journal reported this week that some brands are now explicitly advertising “No AI” or AI-light creative choices because consumers are becoming more skeptical of synthetic-looking content. That is a signal worth paying attention to. (The Wall Street Journal, HubSpot)
So the real opportunity is not “use more AI.” It is “use AI where speed helps, and keep humans where judgment matters.” The SaaS teams that win will be the ones that let AI handle production lift while humans stay responsible for positioning, proof, emotional tone, and buyer understanding. (McKinsey & Company, The Wall Street Journal)
Organic social still matters, but the free distribution era keeps shrinking. Rival IQ’s 2025 Social Media Industry Benchmark Report and Socialinsider’s 2025 social reach analysis both point to declining organic reach and harder engagement dynamics across major platforms. Emplifi’s 2025 social benchmark report adds that platform performance is shifting unevenly, with TikTok showing stronger follower growth while other networks demand more creative effort to earn the same visibility. (get.rivaliq.com, Socialinsider, Emplifi)
That does not mean organic is dead. It means organic now behaves more like a creative-performance channel than a passive publishing channel. Brands that post generic updates get ignored. Brands that publish sharper points of view, strong short-form video, creator-style content, and genuinely useful expertise still earn reach, just not automatically. The opportunity is that while reach is harder, standout creative can still travel a long way, especially when it is repurposed across owned, earned, and paid distribution. (get.rivaliq.com, Emplifi)
Most SaaS teams don’t have a “channel problem.” They have a prioritization problem. Too many experiments, not enough conviction. Too many tactics, not enough systems. The goal here is not to list everything you could do. It’s to focus on what actually moves pipeline, retention, and revenue at each stage of maturity.
At this stage, the biggest risk is spreading yourself too thin. You don’t need omnichannel. You need signal.
What to focus on:
What works best:
What to avoid:
The real goal here is not scale. It’s message-market fit and repeatable acquisition.
This is where things get interesting. You’ve found some traction, but efficiency starts to matter.
What to focus on:
What works best:
What to avoid:
This is also where many SaaS companies hit a wall. CAC rises, but conversion doesn’t keep up. The fix is almost always better positioning and better landing pages, not just more traffic.
At scale, growth comes from systems, not just campaigns.
What to focus on:
What works best:
What to avoid:
At this stage, the best companies grow because customers stay longer and spend more, not just because more customers come in.
Not all channels are equal right now. Here’s how they stack up strategically:
Paid Search
Still one of the strongest bottom-funnel channels. High intent, but expensive. Works best when paired with strong landing pages and clear differentiation.
SEO
High ROI over time. Slow to ramp, but compounds. Especially effective for SaaS when focused on:
Email / Lifecycle
Underrated by many teams. One of the highest ROI channels for retention, expansion, and reactivation. Also critical for onboarding and activation.
LinkedIn (Paid + Organic)
Still the most reliable B2B platform for targeting. Expensive, but precise. Works best with:
Short-form Video (TikTok, Reels, LinkedIn video)
Growing fast. Works especially well for:
Partner / Affiliate Channels
Becoming more important as CAC rises. Lower cost over time, but requires setup and relationship management.
If you’re testing creative right now, start here:
The key shift is this: creative is no longer just a wrapper. It’s the message, the hook, and often the conversion driver.
This is where most SaaS companies leave money on the table.
Acquisition gets attention. Retention builds the business.
What to prioritize:
ChartMogul’s research shows expansion is now a major growth driver for SaaS companies above $15M ARR, which reinforces this shift toward retention-led growth.
The next phase of SaaS marketing will look less like “more channels, more content, more spend” and more like tighter systems built around efficiency, trust, and discoverability in AI-assisted buying environments. Growth is still available, but the playbook is changing. Marketing budgets remain under pressure, with Gartner reporting that 2025 budgets stayed flat at 7.7% of company revenue, so most teams are being asked to produce better outcomes without a bigger cushion. (Gartner)
Over the next 12–24 months, paid media will stay important, but budget mix is likely to keep drifting toward channels that compound or improve downstream efficiency. That means more investment in SEO, lifecycle email, owned audience development, and customer expansion programs, not because paid acquisition stopped working, but because flat budgets and rising auction costs make overreliance on paid search and paid social riskier. Gartner’s budget data supports the pressure side of that equation, while broader channel trend data points to marketers doubling down on formats and systems that produce more with less. (Gartner, HubSpot Blog, Content Marketing Institute)
A practical forecast: paid search remains a core bottom-funnel line item, but incremental dollars will face more scrutiny. SEO and content will keep earning budget where they can show pipeline contribution, and lifecycle programs will gain more executive attention because they improve activation, retention, and NRR without requiring constant net-new acquisition spend. That is partly an inference, but it follows directly from flat budgets, ongoing efficiency pressure, and the stronger role of owned channels in current marketing research. (Gartner, HubSpot Blog, Content Marketing Institute)
The stack is heading toward consolidation in some places and specialization in others. AI will be embedded into more CRMs, automation tools, analytics platforms, and content workflows, but buyers will be less interested in “AI” as a label and more interested in whether the tool actually reduces cycle time, improves segmentation, or helps revenue teams act faster. McKinsey’s 2025 work on B2B growth through gen AI points to practical use cases such as sales enablement, personalization, pricing support, and commercial productivity, which fits how SaaS teams are already shifting from experimentation to applied AI. (McKinsey & Company, McKinsey & Company)
At the same time, the center of gravity in martech is moving toward connected data and operational simplicity. HubSpot’s 2026 State of Marketing framing highlights AI, stronger brand point of view, and “loop” or flywheel-style growth systems, which is another way of saying marketing teams are trying to connect acquisition, conversion, and retention more tightly instead of optimizing them in silos. (HubSpot, HubSpot Blog)
Google will remain crucial, but its role is changing. Traditional search is no longer the only front door to discovery. Forrester’s AI-search commentary says AI-generated traffic is still a minority share today, but growing fast, and argues that zero-click behavior should be treated as an opportunity rather than just a loss of referral traffic. In plain terms, more buyers will consume answers before they ever click through, and when they do arrive, they may show up more informed and closer to evaluation. (Digital Commerce 360)
That means the winners in SaaS marketing will not just “rank.” They will be cited, referenced, quoted, and surfaced across AI-generated summaries, comparison environments, communities, and third-party ecosystems. The Verge’s recent reporting also shows the market responding in messy ways, with some companies trying to influence AI visibility directly, which is a sign that discoverability inside answer engines is already becoming strategically important. (Digital Commerce 360, The Verge)
LinkedIn is likely to keep its position as the most reliable paid B2B platform for professional targeting, but creative quality will matter even more as costs stay high. Short-form video will continue gaining budget share because it is cheap to test, adaptable across channels, and still viewed by marketers as one of the highest-ROI formats. HubSpot’s trend reporting explicitly calls short-form video the top-performing content format used by marketers, and its 2026 report continues to point to visual, AI-aware, and POV-led content as growth areas. (HubSpot Blog, HubSpot, HubSpot Blog)
AI-assisted outbound will likely move from “write more cold emails” to smarter prospect research, account prioritization, message variation, and follow-up orchestration. McKinsey’s B2B AI guidance supports this broader commercial shift: the value is not just in drafting text, but in improving how revenue teams identify opportunities and act on them. The teams that win will use AI to improve targeting and response relevance, not just increase output volume. (McKinsey & Company, McKinsey & Company)
Marketers will spend more time designing content for citation, summary extraction, and answer-engine visibility. That changes content strategy. Instead of publishing broad, fuzzy blog posts, teams will favor sharper definitions, stronger original data points, quotable comparisons, use-case pages, and proof assets that can survive both human skimming and AI summarization. Forrester’s interpretation of AI search and the broader discussion around zero-click discovery both support this shift. (Digital Commerce 360, The Verge)
As AI lowers the cost of producing generic content, brands with a distinct perspective will stand out more. HubSpot’s 2026 State of Marketing explicitly calls out brand POV alongside AI and loop marketing, which is a strong signal that marketers are recognizing sameness as a performance problem, not just a creative one. (HubSpot)
This one is less flashy, but probably more important than most trend decks admit. As acquisition stays expensive, lifecycle marketing, onboarding, customer education, and expansion campaigns will pull more weight in growth planning. The most durable SaaS growth stories over the next 12–24 months will come from companies that can convert customers once, then expand them repeatedly. That is consistent with the broader budget and efficiency signals already showing up across marketing research. (Gartner, Content Marketing Institute, HubSpot)
Gartner’s view is essentially a discipline story: budgets are flat, so productivity and prioritization matter more. (Gartner, Gartner)
Forrester’s view is a discoverability story: AI search and zero-click behavior are changing how B2B buyers find and evaluate vendors, and marketers should adapt rather than defend the old referral model. (Digital Commerce 360, Forrester)
McKinsey’s view is an execution story: gen AI can unlock profitable B2B growth, but only when it is attached to real workflows, commercial use cases, and cross-functional coordination. (McKinsey & Company, McKinsey & Company)
HubSpot’s current state-of-marketing view is a format-and-operations story: AI is mainstreaming, short-form video remains highly effective, and marketers need content designed for newer discovery behaviors, including AI search. (HubSpot Blog, HubSpot, HubSpot Blog)
Market size, market growth, and industry context
Content, creative, and messaging trends
Budget and planning context
SaaS metrics and retention context
A few figures in the report were used as planning benchmarks rather than absolute “industry truths.” That includes channel-level CPC, CPM, CTR, landing-page conversion ranges, and content-performance assumptions. Those figures are best interpreted as directional ranges that help frame decisions, not as guaranteed outcomes. The more mature and reliable benchmarks in this report are the broader budget, retention, and survey-based findings from Gartner, SaaS Capital, CMI, and HubSpot. (Gartner, Content Marketing Institute, SaaS Capital, HubSpot)
No primary survey was conducted for this report directly. Instead, the report synthesized external research from:
Disclaimer: The information on this page is provided by PPC.co for general informational purposes only and does not constitute financial, investment, legal, tax, or professional advice, nor an offer or recommendation to buy or sell any security, instrument, or investment strategy. All content, including statistics, commentary, forecasts, and analyses, is generic in nature, may not be accurate, complete, or current, and should not be relied upon without consulting your own financial, legal, and tax advisers. Investing in financial services, fintech ventures, or related instruments involves significant risks—including market, liquidity, regulatory, business, and technology risks—and may result in the loss of principal. PPC.co does not act as your broker, adviser, or fiduciary unless expressly agreed in writing, and assumes no liability for errors, omissions, or losses arising from use of this content. Any forward-looking statements are inherently uncertain and actual outcomes may differ materially. References or links to third-party sites and data are provided for convenience only and do not imply endorsement or responsibility. Access to this information may be restricted or prohibited in certain jurisdictions, and PPC.co may modify or remove content at any time without notice.
This report compares the month over month performance across the date ranges of December 1st - 31st 2025 and January 1st - 31st 2026.
For the month of January, we found the results to be quite impressive and optimistic, with the highlighted results below:
Overall, the results for Nutrition/Health Product Company in January were positive across the board, with each campaign garnering more conversions, lower cost per conversion, and significantly increased month over month ROAS.
Management of this account is going better than anticipated, and we will continue to find opportunities to garner more conversions and drive ROAS up as much as possible through bid modifications and the addition of new, contextually relevant keywords.
____________________________________________________________________________
January’s performance demonstrates a meaningful shift from learning to efficient acquisition:
This indicates that every £1 spent returned £7.90 in revenue; 6.5x more than December’s 122% ROAS.
MoM Campaign Comparison
January - Nutrition/Health Product Company - 29.33 conversions, £6.76 CPA, 14.04% conversion rate (1389% ROAS)
December - Nutrition/Health Product Company - 8.28 conversions, £42.84 CPA, 3.30% conversion rate (129% ROAS)
MoM increase of 1260% ROAS
January - REMARKETING - 6.27 conversions, £9.41 CPA, 8.33% conversion rate (627% ROAS)
December - REMARKETING - 3 conversions, £55.88 CPA, 0.44% conversion rate (168% ROAS)
MoM increase of 459% ROAS
January - PMAX - 15.10 conversions, £10.56 CPA, 5.74% conversion rate (422% ROAS)
December - PMAX - 5.22 conversions, £63.11 CPA, 1.29% conversion rate (negative ROAS)
MoM increase of 422%+ ROAS
January - Local Doctor Campaign - 4 conversions, £16.55 CPA, 5.71% conversion rate (264% ROAS)
December - Local Doctor Campaign - 3 conversions, £30.58 CPA, 3.26% conversion rate (160% ROAS)
MoM increase of 104%+ ROAS
This campaign benefits from high intent brand-adjacent queries combined with carefully controlled generic terms, making it one of the most reliable drivers of low-cost, and more volume of conversions. Continued prioritization here will compound returns.
Day-of-Week Performance
Certain regions are showing higher purchase intent, such as the UK and Greater London this month. Geographic bid multipliers can be further refined to capitalize on these micro-markets, all the way down to the zip code, and we’re in the process of doing this.
Keyword Performance
Top keywords show clear brand and authority alignment:
These terms demonstrate exceptional intent density and should remain protected with:
Expansion into close-variant and long-tail branded queries
January’s performance reflects extremely strong numbers month over month and we are more than thrilled with the performance, with main highlights being:
With continued optimization and controlled scaling, we expect further efficiency gains and revenue growth in the coming months, and will be modifying based on the increase in CPCs.
