When your goal is a long-term, successful PPC campaign that brings you a steady stream of qualified leads, you need to run A/B continuously.
Also known as split testing in digital marketing, this is the only reliable way to determine which variables contribute to higher conversions and profits.
Once you pinpoint the profitable ad variations, you can implement them across all of your campaigns for the best results.
In general, the idea is to run two or more simultaneous Google Ads campaigns that differ in small ways, both in your ad and your landing pages. You start with a main campaign as your control, and then create additional ads and landing pages with slight differences to see how well they perform against each other.
After a period of time, you’ll know which ads and landing pages perform the best. From there, you can analyze which variables are present on your high-performing ads and pages, apply them to all of your campaigns, and then start testing other elements to get even better results.
For example, you might run five campaigns with the same ad, but users are redirected to five different landing pages, each with a unique heading. Or, your landing pages might have a different format, colors, or typography. You can test any element, no matter how small, and sometimes it’s the small things that count most.
If you’re curious about split testing your PPC ads, this article will help you understand how this process works and how to apply it in your campaigns.
You can run an A/B test for just about any element you can alter in your Google Ads campaign. For example, it’s common for people to test the following:
There are two main elements that power A/B testing: time and structure. Let’s look at each of these in-depth.
Running digital marketing A/B tests is easy, but you need to set it up to extract actionable insights, and that’s where things can get a little challenging. If you follow these tips, you’ll have an easier time.
Your control campaign is the original, unaltered version. Always keep your control running alongside additional campaigns with changes. After your tests, when you find your highest performing campaign, that should become your new control to replace the old. From there, you’ll aim to beat your control once more by testing new elements.
Repeat this process indefinitely, and always remember to maintain your control so you can see what elements are performing better against your existing standard.
The first thing to remember is not to attempt to test too many variables at once. Testing multiple things at once will make it hard to know which change is responsible for an increase or decrease in conversions. Stick to testing a single variable until you’re satisfied with those results and then start testing the next element.
When running a test, you’ll need ample time to generate enough traffic, clicks, and sales to see what’s working between each version being tested. You won’t get results overnight or even in a week. Your A/B tests need to run long enough to create statistical significance in the results.
The suggested time period is however long it takes to reach 10,000 sessions, also known as the “10,000 experiments rule.” This is an alternative version of the concept that it takes 10,000 hours to become proficient in a given skill. The idea behind this is that deliberate experimentation is more valuable than deliberate practice. It’s true – if you don’t experiment deliberately, you won’t get the data you need to see what’s working in your PPC campaigns. However, 10,000 experiments (or 10,000 interactions) can seem like a bit much for smaller businesses.
Reaching this goal could take months for many organizations that don’t have a massive PPC budget. However, if this applies to you, set a goal to reach 1,000 sessions or put a cap on your tests at the 60-day mark. Either way, just wait until you have a decent amount of data to work with even if you don’t reach that 10,000 mark.
Running split tests without specified goals isn’t going to help you. It’s crucial to know exactly what you want to get out of your tests. For example, everyone wants more leads, but what does that look like beyond the surface? Would you feel like you achieved your goal if you got 500 new leads that never make a purchase? Or do you only consider it a success if you generate targeted leads that at least have the potential to buy in the future?
Getting targeted leads is just one example of a specific goal. You may want leads who will sign up for your email list and then watch a video or follow you on Instagram. For long-term success, you’ll want to align your A/B tests with your goals, otherwise you could spend years testing the wrong elements – the ones that don’t directly influence the actions you’re trying to elicit.
To get actionable insight from your tests, you’ll want to identify the metrics that denote success or failure other than just the number of leads you collect. These might include:
To make improvements, you have to know how your experiments are performing.
Figuring out if your tests are successful requires some serious data analytics. You’ll need to analyze a handful of key metrics to see how people are reacting to the changes you’ve made, and you can accomplish this with a visual form of behavioral analytics. According to Investopedia, behavioral analytics can support a number of different hypotheses at once and makes it easier to evaluate your experiments.
When you have a visual data report of your tests, it’s easier to understand which elements are supporting your goals and if a certain version of your ad copy is good enough to apply to all of your PPC campaigns and/or become your new control. Additionally, tracking key performance indicators will help determine whether your adjustments are driving meaningful engagement and conversions.
Also called session replays, this is where a user’s actions are recorded as they interact with your website. Mouse movements, clicks and taps, and scrolling are the most common actions recorded.
Implementing session recordings into your split tests can help you improve your PPC ad campaigns immensely. Not only will you have data, but you’ll have a real-time account of how users interacted with your page, which will give you some specifics you can’t get any other way. For instance, a user might start to fill out a contact form and then stop at a certain question. Or, they might abandon the checkout process at a certain stage and their mouse clicks might tell you why.
Session replays are an excellent way to improve your conversion rate, and when paired with A/B testing, they’re even more powerful.
Heatmaps can provide you with valuable insight into which parts of your web pages are performing well (or not). These maps will show you where your visitors are focusing most of their attention, where they’re clicking, if and how long they’re scrolling, and what might be distracting them from taking the desired action.
For example, a scrolling heatmap can tell you if users even saw your CTA. Perhaps many don’t scroll down far enough, and you’ll need to move the CTA higher up on the page. If you don’t use a heatmap, you won’t know that many of your visitors never even saw your CTA. All you’ll know is that you didn’t get clicks. This could lead in circles, causing you to test different CTAs, when your original one might be just fine when made more visible.
Sometimes, it’s your traffic source that supports a more successful Google Ads PPC campaign. Make sure you’re tracking where your visitors come from so you can determine which traffic sources lead to higher conversion rates. You might find some sources to be complete duds, and that means you’re either targeting the wrong audience within that PPC platform or the platform itself isn’t where your market spends time.
Many businesses run PPC ads on every platform they can find, like Instagram, Facebook, Twitter, LinkedIn, and Google Ads. However, some markets rarely (or never) spend time on certain platforms. For example, if you’re trying to reach a highly technical and scientific-minded market, you probably won’t reach many people on Instagram. Sure, there are plenty of science-related accounts, but they’re not usually scholarly. It just doesn’t attract that type of market. Instagram is more for entertainment and visual appeal than sharing scientific research, discoveries, and theories.
If you discover that some of your traffic sources aren’t producing conversions, reconsider if you’re on the right platform. If you think you are, then start adjusting your target audience. If that doesn’t generate more leads, consider abandoning the platform because it’s not worth wasting ad spend where you aren’t getting results.
A/B testing is a crucial component in your Google Ads PPC lead generating campaign. The key is to define your paid search goals before setting up your experiments, and only test one change at a time.
Be willing to wait for statistically significant results so that you can know for sure that you’re making the right changes. Keep your control clean and consistent but replace it when you find a new ad or landing page that consistently achieves a higher conversion rate.
Last, don’t stop split testing when you get your first taste of success because there’s always room for improvement and you can always do better. You’ll need to adjust your goals and hypotheses over time, but that’s just part of the process. Split testing should be a continuous endeavor and if you get stuck, you can always reach out to a professional PPC marketing company.
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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.
