This page is for Series A-C Cybersecurity companies in the US market selling to enterprise or mid-market buyers with an ACV greater than $15k, and a sales cycle greater than 60 days. You’ve run Google and/or LinkedIn campaigns. Your MQLs look like a reasonable number. Your closed revenue does not include this. And when asked what campaign, channel, or message actually generated your real paying customers, no one in the room has any idea. That’s what this practice has been designed to fix. By combining performance marketing, attribution analysis, and cybersecurity SEO services, we help cybersecurity companies connect marketing activity directly to pipeline growth, revenue generation, and enterprise customer acquisition.
The first failure is in the optimisation for the demo request. In an industry segment where 60% of demo requests fail to move to the pipeline, the demo request is the wrong conversion event. Campaigns that are optimised for form fills reward the agency’s reporting and penalise the client’s revenue forecast.
The second failure is in the targeting of a stakeholder in a committee purchase. A CISO clicking an ad does not mean a CFO, Compliance Lead, or IT Operations Director approves the spend. Most campaigns are designed to reach one persona and wonder why deals are not closing at the approval stage.
The third failure is in the fear-based approach to creativity. Enterprise security buyers are professionals and are educated to be suspicious of vendors’ claims. A CISO who has been exposed to ten thousand “Are you protected?” ads does not respond to the eleventh. Vagueness does not create a pipeline. Verifiable results do.
Vicious Marketing creates campaigns that are built upon closed revenue, not demo requests, not a stakeholder, and not an ad creative that all sophisticated buyers have learned to ignore.
Buying cybersecurity solutions isn’t a planned event. Rather, a trigger event occurs: a competitor’s breach makes it to the board agenda, a compliance audit doesn’t pass, a new regulation emerges, or a mandate from the CFO results from a risk review. The buyer, not looking to buy on Tuesday, is now evaluating vendors by Friday. A marketing strategy based on trigger event keywords targets a buyer when they’re ready to engage, ahead of competitors.
The buyer’s actions post-trigger event are completely opaque to any attribution methodology. A buyer begins dark research: Slack groups, Reddit threads, Gartner analyst discussions, CISO network conversations. There’s no last-touch platform to measure dark research. This process influences the short list before a vendor even realizes an evaluation has begun. Reaching a buyer in dark research, via review sites, analyst recognition, and community recognition, determines if your product is even on the list when a buyer emerges.
When the buyer finally emerges into the public domain, they are in a stage of comparison and validation, looking at G2, Gartner Peer Insights, competitor options, and pricing tables. This is where paid media can catch a buyer who is almost ready to make a decision and steer them towards a direct engagement.
The final stage is buying committee alignment. The deal is not done when the CISO says yes. The deal is done when IT Operations, Compliance, Legal, and the CFO have each individually signed off on it. Any campaign that reaches only a single persona loses the deal at the final stage, not because the product was not good enough, but because the other stakeholders never had a reason to agree to it. This is especially true in fintech marketing and SaaS marketing, where purchasing decisions involve multiple departments, risk assessments, compliance reviews, and budget approvals before a contract is finalized.
The sales cycle for enterprise and network security engagements is 6-18 months with a buying committee of four to seven people and a deal size of more than $100k. The purchase process requires sponsorship by an executive before the actual sale. The LinkedIn ABM approach is the primary channel for the offer, which is an assessment/executive briefing/analyst validation proof asset. The success metrics for the campaign are pipeline generated and velocity, not demo volume. This enterprise GTM motion can also align with SaaS performance marketing strategies focused on long sales cycles and high-value accounts.
The sales cycle for compliance and GRC SaaS is different from the above-mentioned one. The cycle for compliance and GRC SaaS is 30-90 days with a buying committee of fewer people and a deal size of between $15k and $80k. The target for the campaign is someone who is actively searching for a compliance solution, such as HIPAA, SOC2, FedRAMP, and PCI-DSS compliance. The Google Search channel is a high-intent and cost-effective channel for the offer, which is a demo or a trial. The metrics for the campaign are cost per SQL and trial-to-paid conversion rate. This often supported by fintech performance marketing and SaaS performance marketing campaigns that focus on high-intent acquisition and measurable conversion outcomes.
Most competing agencies use the same playbook for both motions and measure both motions using the same metrics. The result is enterprise campaigns that resemble lead gen and compliance campaigns that resemble thought leadership – both failing to convert well. Eyal Dror structures the campaign architecture on a specific GTM motion, ACV, and buyer profile from week one.
Define what a real conversion looks like before spending a dollar. Not all demo requests predict the pipeline. We identify what action that is. Before building out the campaign structure. Everything is optimized towards that action. Not towards the form fill.
Build campaign architecture around the buying committee, not a single persona. The CISO gets technical validation content. The CFO gets risk quantification and ROI framing. IT Operations gets integration and implementation proof. They all get a different channel, a different message, and a different offer. They all run simultaneously through the evaluation process.
Use trigger-event keywords and compliance-specific search terms. The highest-intent search queries in cybersecurity are not "best endpoint security software." They are "HIPAA compliance deadline," "SOC 2 audit preparation," "ransomware response plan," and "[Competitor] alternative." The keyword architecture for campaigns is built on purchase triggers, not categories.
Make Gartner Peer Insights and G2 part of the paid strategy. Buyers in cybersecurity check every vendor claim against third-party reviews before even considering a single ad. Advertisers without a review platform presence are asking buyers to trust without evidence. Advertising on review platforms comes with an active review generation programme from day one.
Build and test proof-led creative, not fear-based creative. The creative that works in cybersecurity has specific, verifiable results, such as breach cost reduction figures, compliance coverage, and integration compatibility with specific parts of the solution stack. Claims that can be verified independently perform better than claims that cannot be verified.
Connect CRM data to campaign optimisation from week one. In a 90- to 180-day sales cycle, optimisation based on demo requests means learning to optimise to the wrong metric for six months. Conversion import data from CRM connected conversion events, GCLID import, and offline conversion data are set up before campaign launch. Optimisation happens to closed revenue and pipeline progression.
Google Search is effective for compliance-generated and threat-generated demand. The best platform for Compliance and GRC SaaS software is Google Search, with users searching for specific software and compliance needs such as "SOC 2 compliance software," "FedRAMP certified platform," "HIPAA audit tool." Metric: cost per SQL, not cost per click.
LinkedIn Ads is the best platform for enterprise cybersecurity spend above $50k ACV. Targeting job title and seniority allows for reaching CISO, IT Operations Director, VP of Information Security, and Compliance professionals with differentiated messaging at the same time. Metric: pipeline generated per dollar spent.
Microsoft Ads is an untapped and underpriced platform for cybersecurity spend. The default browser for Windows machines is Bing, so enterprise IT and security professionals disproportionately use Bing compared to Google. The cost per click is cheaper than Google Ads, and the competition for ads is less saturated in the cybersecurity space. Additionally, LinkedIn profile targeting is available with Microsoft Ads within search ads. For targeting director-level and above, spending on Microsoft Ads is recommended before scaling Google Ads spend.
Meta and Facebook serve a retargeting and lookalike role only. Not for cold prospecting for enterprise-level cybersecurity solutions. For retargeting website visitors, demo no-shows, and lookalike audiences built from existing paying customer audiences, the CPL for Meta is significantly lower than cold prospecting campaigns. Metric: Cost Per Reactivated Qualified Lead.
Programmatic and Intent Data (Bombora, 6sense) targets accounts that are exhibiting in-market signals before they are visible in search, allowing us to reach our buyers during the dark research stage. Reserved for enterprise-level cybersecurity solutions above $75k ACV. Metric: Target Account Engagement Rate and Pipeline Velocity from Identified Accounts.
Gartner Peer Insights and G2 Advertising target the comparison stage buyer at the exact point when they are creating their short list. Must be paired with an active review generation program, as ads without reviews do not convert well, as the first action after clicking is to read the reviews.
Why FUD stopped working. Platform algorithms now handle audience targeting at scale; the creative is the performance variable. The technically literate CISO has spent a decade with vague threat models and warnings. The only thing that cuts through the noise is specificity: the compliance framework, the integration partners, the quantification of the breach scenario.
The testing framework. Multiple creative variants run from week one, test the angle of the message (risk reduction vs compliance vs ROI vs simplicity of integration), test the format (static vs short video vs document ad), and test the offer (demo vs assessment vs analyst report). The winners get scaled; the losers get killed before they create a negative brand association.
What B2B cybersecurity creative actually needs. The best-performing creative names the buyer’s specific trigger event so precisely that they feel the ad was written for them: “Your board just asked what happens if you’re breached. Here’s the answer.” Running the same ad to a cold CISO audience and a warm demo no-show is one of the most reliable ways to waste a cybersecurity budget.
Searches like “[Competitor] pricing,” “[Competitor] vs [Your Product],” and “best [Competitor] alternative” represent the highest-intent traffic in any given cybersecurity category. The buyer has already gone through the process of determining that their current solution is not adequate.
The vast majority of agencies are routing these visitors to a generic product page. A person researching from a competitor comparison search term will not convert on a page that does not acknowledge the change they are contemplating.
Vicious Marketing creates a dedicated competitor conquesting strategy with unique landing pages for each competitor by name, matching messaging to directly address the change motivation, and CRM-connected tracking to measure which competitor provides the highest-quality leads, not just the most.
Google over-attributes to its own channels. LinkedIn measures view-through conversions that would have happened anyway without the ad. And, of course, Meta measures assisted conversions that assisted nothing. Optimizing based on data from any of these platforms in a long sales cycle is to optimize based on fiction. All platforms are integrated with CRM to ensure bidding is based on actual closed revenue and pipeline progression.
Peer referrals, CISO Slack groups, Gartner calls with analysts, and Reddit threads don't exist in any attribution model. Last-touch attribution over-attributes to branded search and under-attributes to content, retargeting, and review platform presence that drove the credibility required for branded search to occur in the first place. Multi-touch attribution, with CRM connection, provides an accurate picture of which channels are actually driving the pipeline.
GCLID tracking, offline conversion imports, CRM integration, and value-based bidding signals are all requirements that have to be set up before spending even begins. Agencies typically set up tracking after the launch, resulting in the first 60 days of the 180-day sales cycle being irreparably corrupted. Vicious Marketing sets up attribution infrastructure in week one, before a single campaign goes live.
What in-house gives you: Continuous product context, tight sales alignment, and no handoff latency between marketing and sales. If you are a Series C+ cybersecurity company with consistent paid spend above $80k/month and a VP of Marketing to manage the organization, an in-house hire may be the way to go.
What a specialist agency gives you: Cross-client pattern recognition from running campaigns for multiple cybersecurity vendors, categories, and deal sizes all at once. A team, not an individual. Redundancy in creative, analytics, and strategy.
The honest answer: Vicious Marketing works with cybersecurity companies that need to grow their pipeline immediately and develop an internal team over time, not rely on an external team.
Six metrics underpin every cybersecurity engagement: cost per SQL by channel determines if a channel is driving a qualified pipeline or qualified-looking noise. Pipeline generated per dollar of paid spend links the marketing spend directly to the forecast of future revenue. CAC payback period lets the leadership team know how long it takes the business to pay back the acquisition spend. Demo-to-close rate by channel determines which acquisition channels drive customers, not just conversations. Buying committee coverage rate per target account measures the number of decision-makers that have been deeply engaged with the business before a deal is ever put into the pipeline. LTV:CAC ratio by segment determines if the economics of growth are sustainable at scale.
Demo volume was good, but pipeline conversion was a different story. No visibility into which channels or messages were converted into actual closed deals.
Outcome: Pipeline contribution from paid increased significantly within the first 90 days | Cost per SQL reduced after buying committee targeting replaced single-persona campaigns | Deal velocity improved as CFO and IT Ops stakeholders were engaged earlier in the evaluation cycle
The Google campaigns were producing trial signups from people who had no mandate or purchasing power. MQL was high, whereas SQL conversion was virtually non-existent.
Outcome: Trial-to-paid conversion rate improved after compliance-specific keyword restructure replaced broad category terms | SQL volume increased while overall MQL volume decreased, improving sales team efficiency | G2 ranking improved within 60 days of the review programme launch
Two distinct buyer profiles — SMB IT managers and mid-market Security Directors — were being reached by identical campaigns with identical creative and a single landing page.
Outcome: CAC reduced across both SMB and mid-market segments after campaigns were separated by buyer profile | Pipeline from each motion was tracked independently for the first time | Meta retargeting delivered a lower cost per qualified lead than cold LinkedIn prospecting for the SMB motion
We start by mapping the entire buying committee for your product category, so we understand every single part of the process that's involved in a purchase decision and what your current efforts are and aren't reaching in terms of those buying committees and those different parts of the process that need to be addressed.
We research the actual trigger events and the actual competitor search terms that relate to your product category and understand the actual competitor landscape to see who's succeeding with comparison queries and the opportunity for conquering those queries.
Campaigns are constructed, segmented by buying committee role, channel, and sales motion, not platform defaults. Proof-driven creative variations are constructed and tested from day one of the campaign launch. Landing pages are constructed per campaign, per competitor conquesting target, and per buying committee persona. You get live campaigns with full CRM-connected attribution from the first day of the campaign spend.
SQL tracking occurs weekly to keep your sales teams in lockstep with what paid efforts are driving. Creative rotation occurs before fatigue sets in, not after performance has already begun to slip. Buying committee progression tracking occurs per target account to see how many stakeholders have been influenced before a deal has even entered the pipeline. Monthly strategy review and quarterly CAC and LTV analysis provide your leadership teams with the financial metrics necessary to make informed decisions about investing in growth.
Q1. What is performance marketing for cybersecurity companies?
It’s the practice of running paid campaigns that are specifically optimized for closed revenue rather than closed demo volume, using the buying committee, trigger-event intent, and sales cycle lengths rather than a typical B2B lead gen template.
Q2. How do you run paid campaigns when our sales cycle is 90 to 180 days?
By tying all of the campaign optimization to CRM data rather than conversion data reported by the platforms, using GCLID tracking and offline conversion imports so a deal that closes 150 days after the first click still gets attributed back to the original campaign.
Q3. Which paid channels work best for enterprise cybersecurity vendors above $50k ACV?
LinkedIn Ads for buying committee targeting by job title and seniority, Microsoft Ads for enterprise search with lower CPCs than Google, Gartner Peer Insights and G2 for comparison-stage interception, and intent data platforms such as Bombora or 6sense for dark funnel account identification.
Q4. How do you reach the full buying committee without tripling the budget?
By sequencing, not saturating. The CISO, CFO, and IT Operations Director receive different messages through different channels at different stages of the evaluation cycle, rather than the same ad to everyone simultaneously.
Q5. Does fear-based ad creative still work for cybersecurity?
Not with enterprise buyers. What converts is specificity - named compliance models, quantified breach cost data, named integration partners, and verifiable outcome claims.
Q6. How do you approach competitor conquesting without brand or legal risk?
By focusing on search terms and comparison intent rather than trademarked brand names in ad copy. Ad copy and landing page messaging focus on your product’s strengths and the documented reasons for switching.
