AdTech buyers are a small, named set of brands, agencies, and publishers – not a lookalike audience. We build paid social that reaches the right accounts, survives signal loss, and gets measured on pipeline instead of cost per lead.
Your buyer is a named account, not a lookalike audience
The total market for an enterprise AdTech product is a few hundred to a few thousand brands, agencies, and publishers – and the decision sits with a handful of named people inside each. Standard paid social optimization wants broad audiences and cheap conversions, which is the opposite of what you need. When you optimize for the lowest cost-per-lead, the algorithm fills your funnel with people who will never buy AdTech infrastructure. Reaching the right accounts requires an account-based approach the platforms are not built to make easy, and most programs never make that shift.
Signal loss degraded the optimization your social spend runs on
The same cookie deprecation and conversion-tracking decay reshaping your product also broke the pixel-driven optimization paid social depends on. With weakened conversion signal, platform algorithms make worse delivery decisions, and your long offline sales cycle means closed deals never train the system. An AdTech company cannot credibly run its own demand on broken measurement while selling buyers a fix for exactly that. Without conversion API integration, modeled conversions, and offline data feeding back, your social budget optimizes toward a signal that no longer maps to revenue.
Three buyers, one feed, one undifferentiated message
Brands, agencies, and publishers scroll the same platforms but care about opposite outcomes – performance and brand safety, margin and control, yield and revenue share. Most AdTech paid social runs one creative set and one offer at all of them, so nothing lands with anyone. A brand performance lead and a publisher monetization head need different proof, different hooks, and different next steps. One generic campaign produces engagement metrics that look fine and pipeline that does not move.
Long sales cycles make last-click social attribution meaningless
AdTech enterprise deals close over two to four quarters across a buying committee, so paid social rarely gets last-click credit even when it created the relationship. Judged on direct-response conversions, social looks underperforming and gets defunded right when it is doing its real job – building familiarity inside target accounts before sales ever calls. The whole category sells multi-touch measurement, yet runs its own paid social on the single-touch model it tells clients to abandon. Without account-level and influenced-pipeline measurement, you cut the channel that warms your best deals.
We start by defining the real audience – the named accounts and roles that actually buy your product – rather than chasing a cheap-conversion audience. In the first 30 days we build the target account list across brands, agencies, and publishers, map the buying roles inside each, and audit where your current social budget is going versus where pipeline comes from. We separate the campaigns producing cheap engagement from the ones touching real accounts in real deals.
Strategy turns that into an account-aware program. We segment campaigns and creative by buyer type, decide where to run account-based targeting versus role-based targeting, and define the stages – cold awareness inside target accounts, mid-funnel education, and retargeting active deals. We build the creative concepts and proof points each buyer needs, so a publisher sees yield-and-revenue messaging and a brand sees performance-and-safety messaging. This is where paid social has to align with the rest of your marketing so the message a buyer sees in feed matches the one they get from sales.
Execution builds and runs the program on a measurement foundation that survives signal loss. We implement the conversion API and offline conversion import so closed deals and CRM stages feed delivery, build the account and role targeting, produce the buyer-specific creative, and set bidding toward account engagement and pipeline rather than cheap leads. We rotate creative against real performance and keep retargeting tied to live opportunities so spend concentrates on accounts that are actually in motion.
Measurement judges social on accounts reached and pipeline influenced, not cost per lead. We track target-account penetration, engaged accounts moving into pipeline, influenced-pipeline value by buyer type, and multi-touch contribution to closed deals. We feed those signals back so the program learns toward the accounts that convert. Paid social is working when target accounts are entering and advancing in pipeline, even when raw lead volume and last-click conversions look flat.
What makes this different is that we run it as operators accountable to pipeline, not as a social agency optimizing to CPL and engagement rate. We sit inside your GTM, fix the measurement, and own the account and pipeline numbers. We have run growth at scale, so we build paid social that reaches the buyers who matter and ties to deals a CFO will fund.
In AdTech, paid social is not a lead engine – it is an account-warming engine. Optimize for cheap conversions and you fill the funnel with people who will never buy infrastructure. Optimize for named-account penetration with closed deals feeding delivery, and social starts warming the deals sales actually closes.
Our paid social build for AdTech runs as a 90-day sprint, not an open-ended boosting budget. Phase one is the audience and pipeline audit: we build the named target-account list, map buying roles, connect CRM, and find where current spend is producing cheap engagement instead of real account penetration. We come out of phase one with a clear definition of who we are trying to reach and what counts as progress.
Phase two rebuilds the account structure and the measurement foundation. We stand up the conversion API and offline conversion import, segment campaigns by buyer and stage, and build buyer-specific creative tied to each audience's proof needs. Every campaign is mapped to an account-engagement or pipeline outcome, not a CPL target, so delivery optimizes toward the accounts that matter.
Phase three runs and tunes the program inside your GTM cadence. We rotate creative against performance, keep retargeting aligned to live deals, hold marketing and sales aligned on target accounts, and report on penetration and influenced pipeline. Unlike a social agency that reports engagement and CPL, we stay embedded and accountable to account penetration and pipeline until the program is producing them.
Initial engagements run 3 to 6 months because paid social in AdTech needs a full sales cycle and offline data to prove it is influencing deals. The first 30 days are the audience and pipeline audit and the CRM connection. Days 31 to 60 rebuild the conversion plumbing, account targeting, and buyer-specific creative. Days 61 to 90 run and tune the program against live account and pipeline signal.
Our team includes a paid social operator who owns the account and creative rotation, a measurement lead who builds the conversion API and offline import, and a strategist who keeps the program aligned to the target accounts and buying committee. From your side we need marketing ops or RevOps to connect CRM, sales leadership to confirm target accounts and opportunity definitions, and design or creative support for asset production. We handle the targeting, the measurement, the creative direction, and the optimization.
The cadence is a weekly optimization session and a monthly pipeline review. Weekly sessions adjust targeting, creative, and retargeting against the latest signal; monthly reviews tie social spend to account penetration and influenced pipeline. Most AdTech companies see target-account penetration improve within 30 to 45 days and influenced-pipeline impact within a full sales cycle as offline conversions and CRM stages begin training delivery.
If your adtech company needs paid social leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Most AdTech paid social engagements run between $15K and $40K per month in management fees, separate from media spend, depending on how many buyer types you target and the creative volume. That is less than a full-time paid social hire plus an agency on top, and it comes with operators accountable to account penetration and pipeline.
Improved targeting and reduced wasted spend usually show within the first 30 days as we shift from broad audiences to named accounts. Account penetration moves within 30 to 45 days, and influenced-pipeline impact shows across a full sales cycle, which in AdTech is one to two quarters.
We embed in your GTM motion and connect directly to CRM rather than running an isolated boosting budget. We work with marketing ops to set up the conversion API and offline import and with sales leadership to confirm target accounts and what counts as a real opportunity.
Most social agencies optimize to engagement rate and cost per lead, metrics that look healthy but say nothing about enterprise deals. We treat paid social as an account-warming and pipeline problem, fix the broken measurement, and feed closed deals back into delivery.
We measure target-account penetration, engaged accounts entering pipeline, influenced-pipeline value by buyer type, and multi-touch contribution to closed deals rather than CPL or engagement rate. The headline metric is target accounts advancing in pipeline at a reasonable cost. Most AdTech companies see directional ROI within a quarter and clear influenced-pipeline contribution within a full sales cycle once offline data is flowing.
Series A through growth-stage AdTech companies between $5M and $100M ARR selling into a defined set of named accounts whose paid social is being judged on leads instead of pipeline. The strongest fit is a company already spending on social but unable to tie it to deals because the audience is too broad or tracking is broken. The first step is an audience and pipeline audit to find who you should actually be reaching.
Tuesday, June 16, 2026
Frank Growth – Episode 224 – The Bootstrapper’s Revenge with Alex Roy
Tuesday, June 9, 2026
Frank Growth – Episode 223 – Most Tests Will Fail, That’s Fine with Divya Ramaswamy
Tuesday, June 2, 2026
Frank Growth – Episode 222 – Getting a CFO on Board with Your Growth Plan with Simon Heyrick
Tuesday, May 5, 2026
Frank Growth – Episode 218 – The Sephora of Chocolate Strategy with Pashmina De Shon
Ready to unlock your growth?
Book Free Call