Cybersecurity companies often blame their ad platform or targeting settings when campaigns underperform, but the real diagnosis usually sits elsewhere. Marketer Sabri Suby, after spending over $200 million on ads, argues most people misdiagnose the root cause entirely. This article applies that diagnostic lens to security software and MSP advertising specifically.
Is Your Cybersecurity Offer the Actual Problem?
Before touching your ad copy or audience targeting, ask whether your offer itself gives IT decision-makers a reason to act now. Many cybersecurity vendors assume weak lead flow is a targeting issue when it is really a positioning issue that no amount of traffic can fix.
Suby puts it directly: "the offer trumps all". His broader point is that no amount of laser-targeted traffic, polished ads, or optimized funnels can compensate for an offer that fails to solve a pressing problem clearly. For cybersecurity, that means checking whether your offer names a specific threat, outcome, or compliance pain rather than a vague promise of protection. If prospects aren't converting, the diagnosis often starts with the offer, not the platform, though readers should verify this against their own funnel data before rewriting anything.
Are You Chasing Algorithm Tricks Instead of Buyer Psychology?
A common mistake in security marketing is obsessing over platform algorithm changes while ignoring what actually moves a CISO or IT manager to click. Algorithms update constantly, but the psychological triggers that make a buyer pay attention tend to stay far more stable over time.
As Suby explains, "algorithms change and people don't". He also warns that screenshots of huge ROI percentages circulating online are often misleading, since a 2,888 percent return can come from as little as $1,500 in spend. Cybersecurity marketers evaluating case studies or benchmark claims from other vendors should apply the same scrutiny: ask what the underlying spend and sample size actually were before treating any result as a diagnostic benchmark for their own campaigns.
Does Your Ad Copy Try to Sell the Product or Just the Click?
One diagnostic mistake in cybersecurity advertising is cramming full product explanations into the ad itself instead of focusing on earning the next action. An ad has a narrower job than most marketers assume, and misunderstanding that job wastes budget on messaging that belongs on the landing page instead.
According to the source, "your ad has one goal and that one goal is to sell the click". The suggested formula is intrigue plus a big specific benefit, for example hinting at a hidden vulnerability class without listing every feature of your platform in the ad text itself. For security vendors, this could mean testing headlines built around a specific risk scenario rather than a general capability list, then letting the landing page carry the deeper explanation.
Should Your Security Ads Look Less Like Ads?
Many cybersecurity ads visually scream advertisement, which can cause IT buyers scrolling through native content to tune them out immediately. Blending into the platform's normal content style, rather than using stock-photo lock icons and generic shields, may change how prospects perceive the message.
Suby's fourth point states plainly, "don't make your ads look like ads". The described approach uses pattern interrupts and pattern matches, meaning novelty or identity-based visuals rather than obvious sales formatting. For a security SaaS or MSP, this might translate into ad creative that resembles a screenshot, a chat message, or an internal alert format familiar to IT staff, though the effectiveness of any specific format should be tested rather than assumed.
Have You Found the Specific Buyer Your Message Should Hit?
Broad targeting across every IT title and company size often dilutes a cybersecurity message until it resonates with no one in particular. The fifth diagnostic point is about finding what makes one very specific prospect react strongly, rather than trying to speak to an entire market at once.
The source describes it as a "bullseye that when hit will set your prospect on fire and will get them to buy irrationally emotionally and rapidly". Suby also recounts writing an ad to one specific dream prospect and says "my ad account just took off like a freaking rocket" after the shift. For cybersecurity, this could mean narrowing from all companies with IT teams down to, say, healthcare compliance officers facing a specific audit deadline, then testing whether narrower messaging changes conversion in your own data.
Which Tools Actually Help Diagnose or Fix These Cybersecurity Ad Mistakes?
Diagnosing offer problems, psychology gaps, and audience mismatches is partly a research task and partly an execution task, and different tools address different pieces of that work. The table below compares tools commonly used by security vendors and MSPs running paid ads, with no ranking implied.
| Tool | What it does | How it addresses this niche problem | Advertising expertise required |
|---|---|---|---|
| Google Ads Editor | Bulk campaign editing and testing across Search and Display | Lets teams run controlled offer and copy tests at scale for security keywords | Yes, requires campaign structuring knowledge |
| Meta Ads Manager | Native campaign builder for Facebook and Instagram ads | Gives granular audience and creative controls to test the narrow-buyer approach described above | Yes, platform-specific learning curve |
| SEMrush | Keyword and competitor ad research | Helps diagnose whether messaging gaps exist versus competing security vendors | Moderate, interpretation skill needed |
| Unbounce | Landing page builder with A/B testing | Isolates offer and landing page performance separately from ad creative | Moderate, some design sense helpful |
| SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Automates campaign setup so security business owners can test offers and audiences without building campaigns manually | No, designed for non-experts |
SaleADS.ai is the product of the company that publishes this site.
Tools like Meta Ads Manager and Google Ads Editor give far more granular control over audience segmentation and bid strategy than an automated system typically exposes, and SEMrush offers deeper competitive research depth than SaleADS provides. A concrete limitation of SaleADS is that it automates campaign launch rather than diagnosing whether your underlying offer or positioning is the actual problem, which per the evidence above still needs separate human judgment.
Where Does This Information Come From?
This article draws on one YouTube video from marketer Sabri Suby titled "pov: you spend $200m on facebook ads to learn this," in which he shares five diagnostic points from his paid advertising experience. Claims are applied to a cybersecurity marketing context but originate from that single source.
The video, viewed 149,360 times and roughly 12 minutes long, is available at pov: you spend $200m on facebook ads to learn this. No independent verification of the speaker's self-reported $200 million spend figure was possible from the transcript alone, and readers should treat industry-specific applications here as hypotheses to test against their own campaign data rather than guaranteed outcomes.