Ok, so this is one of those questions where instead of giving you a straight yes or no answer, we’re going to go with, it’s complicated.
Whether or not you use automated bidding with your Google Ads is going to be determined by how much or little you do with your automated bidding program.
If you treat your automated bidding programs like some sort of set and forget cooking appliance, then you probably should avoid ever using it again with your Google Ads as it is likely doing you more harm than good. Whether or not you buy into a lot of lies and half-truths that are told about google’s automated bidding Strategies will determine your success with automated bidding Strategies and whether or not you should use them.
You may find that the truth of automated bidding Strategies is a bit more than you bargained for and decide not to use them. Then again, you may find that if you use them right, the benefit outweighs the work you have to put in.
If this all sounds confusing, don’t worry we’ll break it down into a digestible format so that you can make the right decision for you.
Before we dispel some of the lies and assumptions surrounding automated bidding strategies, we’ll break down how it works and explain some of the functions in case you’ve never used it and want a bit of a guide on how it works.
If you’re wondering whether you should use it with Google Ads or not, you may not be aware of what exactly automated bidding is and how it works.
Automated bidding is essentially a type of artificial intelligence program that uses user-defined parameters to bid on ad space within Google Ad auctions.
There are a large variety of ways that these programs can bid and the amount spent, frequency of bids, and many other factors can be customized and set so that it does all your ad bidding for you. Automation is a great way to save time and get your Google ads out there so that people will see them.
There are a few different strategies that you can set as well to tell the program how and when to bid on ad space that is up for auction. Depending on the parameters set, the A.I. may or may not bid if the auction does not meet the criteria.
This type of selective or smart bidding has its own set of benefits and drawbacks.
The automated bidding program works by the user setting parameters for it to work in, and by being fed data on relevant ad space, funding requirements, performance data, and other metrics. By using all of these metrics, the program picks what Google ads to bid on, how much to bid for ads and bids for Google ads based on everything it has accumulated until it runs out of applicable funds.
The most obvious benefit of this is the hands-off automation that it provides. It requires much less time to program the A.I. than it does to manually bid on ad space. The main drawback is that you have much less control over the situation.
Another benefit that isn’t as apparent is that if you’re a marketer and you’re looking to run multiple ad campaigns, automated bidding automated bidding strategies allows you to manage multiple campaigns without keeping tabs on each and every auction that comes up.
As you can see from what we’ve covered, automated bidding strategies does indeed have its uses and downsides. Now that you have an understanding of how they work, you can understand why the answer to the question of whether you should use them or not is quite complicated.
Besides PPC automation, marketers have begun to use automated bidding strategies to become competitive as well as to win more auctions in general. In a lot of cases, bidding can be difficult as the more competitive a space is, the more fierce the bidding.
Bidding too low or bidding on poorly chosen ad space can result in poor advertising returns. That is a large part of the reason why marketers and advertisers prefer an automated bidding program as they can be programmed to win inform future bids rather than bidding based on speculation or emotion.
The obvious downside to this is that they do not hold any regard for certain factors.
Certain bid strategies prioritize winning prime ad space over other factors such as customer preferences, demographic data, ROI, and other metrics. This can be useful in some cases, but also a detriment in others.
Other strategies prioritize ROI and conversion rate over winning as many bids as possible. This allows the automated program to carefully select the bids it places to try and maximize the potential return on investment or maximize the conversion rate.
While this is a great idea, in theory, it too has its drawbacks, particularly if it fails to win enough ad space for the campaign to be seen or craft it in a way that it doesn’t convert. Balancing these factors is part of the marketer’s job unless they are going for a certain approach.
From a practical standpoint, the ability to tell your automated bidding program just what to focus on can be seen as a major benefit.
As we will discuss later, these base principles aren’t all there is to it, unfortunately.
Now that we’ve covered much of the basics about automated bidding programs and how and why they’re used, we’re going to discuss some of the facts about automated bidding strategies that will help you determine whether or not to use them in your Google Ads.
When we say this, what we mean is, automated bidding can be set for a number of factors and can certainly bid on and win Google ads that will get you plenty of clicks, what they don’t guarantee is that those clicks will lead to sales.
Many marketers are under the misconception that once you put an automated bidding strategy in place, all you have to do is sit back and watch the sales roll in. This is not only untrue, but it is also highly ill-advised. Not all, but some marketers assume that as long as you tell the program what you want and give it a budget, and you don’t have to review or watch a thing, it does all the work for you.
What you should be doing is setting reasonable parameters for bids and then checking your metrics to see how the Google ads it buys are performing. Like with the example of clicks, you can be ad spend money hand over fist for ad space and get lots of clicks, but no maximize conversion. You can liken this to running a store with only window shoppers while you still pay employees, rent, and utilities. In these cases, you are paying for valuable ad space that is not driving business the way it should.
Not only should you review your ad purchases regularly, it actually benefits the A.I. of these programs. They thrive and learn off of the input. If you feed them data that something isn’t working, they learn from that over time and adjust their bidding algorithm to try and do better. This doesn’t mean it’ll always fix the problem though so you still have to watch your bids, but it will generally improve over time.
If worse comes to worst, change your strategy and keep trying. Knowledge is power…we think.
Many marketers are under the false assumption that automated bidding programs are a sort of plug-and-go situation where you feed the program the inputs you want and it will go to work immediately to win you great bids and premium ad space.
This is one of those times where the belief could not be further from the truth. The actual truth is that automated bidding programs take weeks to get up to speed. These are learning machines after all. They have an initial learning phase that takes into account all of the information they have been fed in order to get calibrated for automated bidding strategy on auctions.
The standard amount of time is roughly 2 weeks but can run longer depending on the amount of information, the strategy, and the budget. The good news about this factor is, you can essentially front-load as much information that is relevant to your ad campaign as possible to supercharge the learning of your program so that once the initial learning phase is complete, it will have a higher success rate.
This includes feeding it all your campaign data, strategy, budget, any passive audience viewing information as well as any relevant historical ad campaign data. All of this will help it learn. Many marketers do not realize that so much information can be put into the program and that it will improve performance.
A well-fed A.I. is always a good thing and with the right data, you can see excellent results. Just don’t expect it to happen overnight.
This is something that even popular brands and expert marketers get wrong all the time and have no idea why until they study up on it. Most people think that “smart bidding” is the same as automated bidding. This is one of those yes, but no, statements.
So, let us break it down for you. There are many different types of automated bidding strategy. Out of those many types, smart bidding strategies is one of them. The reason for the distinction is that marketers incorrectly assume that all automated bidding is smart bidding strategies. That is wrong. Smart bidding is considered a sub-group within all of the automated bidding types. Once you know this difference, you can use smart bidding more appropriately.
Smart bidding focuses on fixed conversion-related bidding tasks such as click targets, ROAS targets, maximize conversion rates, and cost per click. Using these you can develop specific bid strategies and very targeted bidding that can win you ad auctions with specific results.
This type of bidding has to be used with caution though as these types of bid strategies will usually tell the program to ignore other data such as cost per bid, user demographics, and other customer-oriented data.
If used properly and strategically, there are a lot of benefits and loads of profit to be made, just don’t go assuming that smart bidding is all there is or that automated bidding strategy is all smart bidding.
Just because you set an advertising budget and programmed your automated bidder doesn’t mean that everything goes as planned and you no longer have to account for individual bids.
Without the right parameters, your artificially intelligent friend can bid on very expensive ad space and quickly eat through your ad budget without you even noticing it. Within a few individual bids, you can go from a full balance to a zero balance for your ad budget.
If you see that your cost per click on some Google ads is too high, you can retarget and get better pricing or if you think you need the better ad space, increase your budget to cover the better ads. In either case, you should be sure to watch your ad spend or you’ll soon be out of budget and short of customers.
There’s plenty of customization that can be done with automated bidding programs that tell it only to bid on certain spots that have a guaranteed conversion rate or relative ROAS but using these bid strategies effectively means feeding in lots of data and letting the A.I. go through a learning phase each time you change strategies. This is a good idea if you’re trying to rebalance your marketing to achieve better results.
The important point to remember though is that if you focus on high ROAS or CPC values, your returns may not be as good if you can’t feed your bidding machine enough data to act properly. In that case, it may not bid enough to win needed ad space because it is being too selective.
Some folks are under the mistaken belief that you either MUST use automated bidding or never use it at all. The truth is, neither is correct. With the right preparation and work, automated bidding and AI can be great tools that can take a lot of the work and speculation out of bidding on ad space.
That being said, there are times when automated bidding just won’t work as well as doing things manually. Small budget campaigns, for instance, don’t typically fair as well. Additionally, overly difficult strategies don’t work as well without lots of time and input into the automated bidding system.
If you have the time to invest, automated bid strategies can be your best friend in marketing. If not, then you may be better off using the manual method and being your own judge. Don’t let skepticism sway you one way or another. Choose the option that works best for the situation you’re in. You may choose to automate some campaigns and not others, even ones running concurrently. The trick is finding what works.
That’s it. All the big secrets and lies about automated bid strategies you need to know to decide whether it’s right for your Google Ads campaign. Hopefully, we’ve given you all the info and tips you need to make the most educated decision possible for whatever it is you’re trying to accomplish.
If we can say one thing, don’t believe all the hype you read on either side and strive to find out the facts yourself.
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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.
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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.
Cybersecurity is arguably one of the toughest industries to compete in when it comes to paid advertising. You’re basically selling to tech-savvy, skeptical buyers like CISOs, IT directors, compliance officers, and security teams. Most cybersecurity companies tend to expect hard proof of all claims and you can’t capture their attention easily. Generic ads and broad PPC marketing tactics won’t cut it in this competitive landscape. Because of this, high CPCs across major search engines, vendor saturation, and long evaluation cycles mean that poorly targeted cybersecurity PPC campaigns can be a huge waste of advertising spend.
To win in this arena, firms need advanced PPC for cybersecurity strategies like targeted intent segmentation, tightly aligned messaging, intelligent audience modeling, AI-powered optimization and bid strategies, technically accurate ad copy, and conversion paths designed for enterprise-level buyers. In this article, we’ll dive into the advanced cybersecurity PPC techniques modern cybersecurity firms must use to generate high-quality leads, reduce wasted ad spend, and stand out in a highly crowded search space.
Cybersecurity search queries represent a wide range of intent that spans from broad research to urgent remediation needs. You don’t want to treat all search terms the same or you’ll waste most of your ad spend. Here’s what you should do:
1. Segment keywords by intent
Start by dividing your PPC ads into cybersecurity PPC campaigns based on the following general categories of user intent:
· Educational. These searches might include terms like, “What is endpoint security?” and “Types of cyber threats.” They support content marketing, awareness-stage paid campaigns, and early-funnel marketing efforts.
· Research. These are phrases like “Buy SIEM software” and “24/7 SOC as a service price.” These keywords align with cybersecurity marketing services, gated assets, and evaluation-stage marketing strategies.
· High urgency. Urgent searches are phrases like, “Ransomware removal help now” and “Breach response service.” These searches demand immediate cybersecurity solutions and direct-response PPC advertising with strong CTAs.
This segmentation ensures you match your ad copy, ad relevance, landing pages, click through rates, and offers to exactly where the buyer is in their journey. This improves the relevance of your ads, reduces wasted ad spend, and increases conversions and overall campaign performance.
2. Prioritize longtail and high-intent keywords
Using long tail keywords and targeted keywords attracts higher-quality website traffic. These terms usually reduce marketing costs, improve conversion rates, and drive more efficient paid advertising.
3. Use negative keywords to filter out irrelevant traffic
Since a wide range of people search for cybersecurity terms, including students, hobbyists, and researchers, every marketing agency should use a negative keyword list to filter out irrelevant searches will protect advertising spend. For example, filter out queries using the terms “free course,” “tutorial,” and “certification exam.” Anyone searching for these phrases is unlikely to be looking for a cybersecurity product or service. This ensures your PPC campaigns reach potential customers, not job seekers or students.
The best compelling ad copy will fall flat if they don’t reach the target audience who make purchase decisions. If you cast your net too wide, you’ll miss those people. Many people searching for keywords related to cybersecurity are just curious or looking for free solutions. AI-driven ad targeting allows cybersecurity marketers to refine their highly targeted audiences and focus on the people who are most likely to convert.
To identify the right targets, you can use AI and upload campaign data from your CRM, like MQLs, SQLs, demos, and closed deals into Google Ads and Google Analytics so the model can learn what a “good lead” looks like. This will help you build a lookalike audience that represent your best customers – the people most likely to buy your cybersecurity offers.
Cybersecurity buyers are usually high-level roles in regulated industries. To reach them you can use filters for specific industries like healthcare, finance, enterprise tech, etc. and also filter for company size, geography, and job titles (like CISO, IT director, compliance, etc.). This is the best way to minimize wasted clicks and build targeted campaigns that improve campaign effectiveness and drive better data driven decisions.
Cybersecurity buyers expect total clarity, accuracy, and trust. They don’t respond to vague or sensationalized copy. To get their attention, use specific terms thar resonate in the cybersecurity world. Terms like: SEIM, MDR/XRD, SOC as a service, IAM/PAM, 247 monitoring, zero trust, end-to-end encryption, and compliance-ready. These phrases signal credibility.
Keep in mind that regulated industries are highly concerned with compliance, so highlight frameworks like HIPAA, PCI-DSS, SOC 2, and ISO 27001 when relevant. These small signals can be powerful triggers. Including compliance language boosts ad quality, improves search engine rankings, and increases ad visibility across search results.
The best cybersecurity ads will create urgency and offer a benefit-led call to action. Ads like “Protect your business from ransomware now – schedule a free security assessment” and “Ensure 24/7 threat detection for your enterprise” work better than vague promises. By speaking the language of your buyers and addressing their real fears and needs, your ads will appear more credible. This approach consistently produces successful PPC campaigns and supports scalable cybersecurity PPC advertising.
Great ads will get clicks, but your landing pages decide whether someone converts. For cybersecurity brands, generic “contact us” landing pages (and homepages) won’t cut it. Successful PPC campaigns rely on intent-matched landing pages to convert potential clients. You need threat-specific, offer-focused landing pages where the copy matches exactly what’s in the ad. For instance, if the ad is for ransomware protection that’s what the landing page needs to promote. Whether it’s a cloud security audit, SOC as a service, or a compliance assessment, make sure your ads and landing pages match. This improves seamless user experience, increases conversion rates, and supports long-term business growth.
Use case studies, certifications, compliance credentials, client logos if they allow for that, audit results, and security whitepapers to build trust with your audience. These elements can help buyers overcome their initial skepticism and compliance concerns.
Using a value-first approach is a great way to get more relevant clicks through cybersecurity lead generation and filters buyers actively seeking solutions. All you need to do is offer value people can access immediately. For example, free vulnerability assessments, security posture quizzes, and compliance readiness evaluations are all valuable on the spot. They also filter high-intent leads that are more likely to book a demo or discovery call with you. This strategy improves campaign performance, increases lead generation, and helps convert leads into pipeline opportunities.
Cybersecurity sales don’t usually happen on the first click. They often involve multiple stakeholders, extended review processes, compliance checks, and internal approvals. It won’t work to use one-click, last-click attribution.
· Use data-driven, multi-touch attribution models. These models credit all meaningful touchpoints (not just the final click) to give you a clear picture of how your PPC ads are contributing to real conversions over time. It helps justify ad spend and reveals which ads, keywords, and campaigns are influencing your decisions.
· Sync PPC leads with CRM and offline conversion data. Track your leads through all stages (MQL, SQL, Demo, Proposal) and feed this data back to your PPC platforms to train the algorithm on what quality conversions actually look like for you. This is how you’ll improve your targeting and bid optimization.
· Combine retargeting and content marketing. Buyers often visit a site multiple times before deciding to buy. Use remarketing gated content (like whitepapers and threat reports, webinars, and email sequences to nurture leads and lead them toward a purchase.
For B2B cybersecurity firms, a multi-touch, multi-step conversion funnel is the most realistic way to measure PPC ad success. Multi-touch attribution allows teams to track key performance indicators, analyze campaign data, and uncover valuable insights.
Using data insights, actionable insights, and data driven insights helps teams refine PPC strategy and justify marketing costs.
Cybersecurity keywords can be pretty expensive. Without intelligent bidding, you’ll overspend and underserve. AI-driven bid strategies, including a smart bidding strategy, optimize bids across search engines in real time. This reduces marketing costs, improves efficiency, and drives sustainable revenue growth.
Automated bidding strategies like Target CPA, Target ROAS, and Max Conversions are ideal when trained with clean, qualified conversion data. These strategies will adjust your bids based on the time, device, location, user behavior, and competitive factors – all elements humans can’t easily track at scale.
While it’s nice to get leads who visit your site and even fill out your form, keep your priority on conversion quality, not just volume. Don’t just optimize for clicks or form fills. Feed your bidding models real conversion events like qualified leads, demos booked, and deals closed. Empty form submissions aren’t helpful – your goal should be to build a real pipeline.
Most importantly, test and refine your ads continuously by split testing your ad copy and landing pages to see what works best. In cybersecurity PPC, even small tweaks can yield big results because you’re targeting a narrow, high-intent audience. With a well-trained AI bidding system, your campaigns will do well even in a competitive market.
Since cybersecurity buyers don’t convert on hype, value is essential. Long-form assets like whitepapers, threat reports, case studies, and compliance guides strengthen content marketing, improve online visibility, and support paid advertising across social media platforms, LinkedIn Ads, Twitter Ads, and Bing Ads.
Use your PPC ads to drive traffic to content offers like “2025 Ransomware Trend Report,” “Enterprise Security Readiness Checklist,” or “Cloud Compliance Guide.” These types of content will draw in decision makers who are researching solutions.
Make sure you gate the content you provide to people who click on your ads. Use progressive profiling forms that adapt to the user’s role or company size (if possible) to capture qualified leads. Then feed those leads directly into your lead nurturing workflows and retargeting sequences.
After a lead has downloaded your information or has made the first engagement, retarget them with ads offering free audits, demos, case studies, or consultations. This approach increases immediate visibility while building trust in the cybersecurity space and is highly effective for the long B2B sales cycles that exist in cybersecurity.
Since cybersecurity buyers usually need time to make a purchase, retargeting has to be precise. General remarketing will just burn through your ad budget and will be ignored by serious buyers.
To create specific segments for remarketing, start with intent and behavior. For example, if a user visited a ransomware page, don’t show them ads with general security content. Serve them ransomware-specific ads.
For the best results, segment your remarketing audiences based on:
· Pages visited (threat type, service)
· Actions taken (whitepaper downloaded, demo requested, form filled)
· Role/company size (if available)
Then tailor your messaging by funnel stage. Start with the awareness stage and offer more educational content like guides and webinars. For those in the consideration stage, push case studies, vendor comparisons, and ROI calculators. Finally, for those making the decision to buy, offer demo scheduling, free audits, and compliance checklists.
Be sure to always exclude low-intent and irrelevant audiences. There will always be researchers, students, job seekers, and random curious tire kickers searching for cybersecurity keywords. As discussed earlier, use negative keywords and exclusion lists to avoid wasting your ad spend.
Segmented remarketing improves ad relevance, strengthens marketing messages, and boosts click through rates. This approach supports successful campaigns while reducing wasted advertising spend.
Since many cybersecurity buyers are evaluating multiple vendors at the same time, competitor conquest campaigns can be highly effective if done correctly.
The right way to do this is to target your competitors’ weaknesses while maintaining compliant messaging. Avoid naming your competitors directly to stay within ad policies but highlight how your offering solves common complaints about your competitors. For instance, you might note that you have “Faster setup,” “Better support,” “Flexible pricing,” or “Stronger compliance reporting.”
Build out landing pages that compare your features to your competitors’ features without naming names. Show real differentiators like detection speed, compliance, and support, and highlight testimonials or case studies from clients who “switched from Vendor A.”
Never expect single clicks to convert. Treat competitor conquest campaigns like the first touchpoint in a series. Pair it with remarketing, content nurture, and follow-ups to maximize conversions from buyers who are currently in evaluation mode.
PPC ads can generate plenty of leads for your cybersecurity business, but closing deals will require a strong sales strategy. That’s why aligning your PPC campaigns with your sales workflows can help.
Sync your ad data with your CRM for full visibility. Capture data on keywords, ad groups, landing pages, and funnel stages for every lead. This will help your sales team know exactly what triggered their interest so they can tailor their follow-up conversations accordingly.
Provide your sales teams with assets to help your messaging stay consistent. For example, give them your case studies, compliance docs, whitepapers, audit reports, and technical comparisons. Doing so will help them maintain credibility when engaging with potential clients.
When PPC efforts align with sales workflows, marketing teams help cybersecurity businesses close deals faster. This improves campaign effectiveness, reduces friction, and lowers customer acquisition cost.
The cybersecurity industry is a battlefield. A basic PPC campaign won’t work when you’re competing for attention in the cybersecurity industry. The firms that invest in cybersecurity marketing, cybersecurity PPC, and data-backed marketing strategies know that precision and trust win conversions across digital channels. To win leads, you need to reach targeted audiences with intent-driven keywords and technically correct messaging, and it all needs to align with your sales process.
If your competitors are using these strategies and you’re not, you’re invisible. This is the time to sharpen your strategy and strengthen your funnel by implementing a stronger PPC strategy.
If you want to generate qualified enterprise leads, reduce wasted ad spend, and build a scalable, data-driven PPC engine that speaks directly to cybersecurity decision makers – an experienced cybersecurity marketing agency like us can help.
At PPC.co, we specialize in building paid ad strategies that convert clicks into real clients. Contact us today and we’ll position your firm as the credible, trusted authority cybersecurity buyers want.
