Enterprise AdTech deals close over quarters across brands, agencies, and publishers – not on a last-click conversion. We build paid search that captures real buying intent, feeds pipeline, and gets measured against deals, not form fills.
The Problem
You measure SEM on clicks and leads while deals close over quarters
AdTech enterprise sales cycles run two to four quarters through procurement, security, and legal. When paid search gets judged on cost-per-lead or last-click conversions, you optimize for the cheapest form fill instead of the deals that actually close. The whole AdTech industry knows last-click is broken – your company sells the alternative – yet your own SEM is often run on the metric you tell clients to abandon. That mismatch means budget flows to high-volume, low-intent terms while the queries your real buyers use get starved.
Three-sided buyers search with completely different intent
A brand marketer, an agency programmatic lead, and a publisher monetization head do not search the same way, want the same thing, or convert on the same offer. Most AdTech SEM programs run one undifferentiated account targeting generic category terms, so a publisher researching yield optimization lands on a page written for brand performance. Wasted spend is the obvious cost; the bigger cost is that the buyer who could have been your best deal bounces because the message did not match the search. One account cannot serve three buyers with one bid strategy.
Category terms are commoditized and brand-bidded to death
Search the obvious AdTech terms and you see forty competitors bidding, plus agencies and review sites arbitraging your category. CPCs on head terms are brutal because every box on the LUMAscape is fighting for the same generic query. Companies that lead with broad category bidding burn budget competing against incumbents with deeper pockets and stronger brand recall. Winning in AdTech SEM is about finding the specific, lower-volume, higher-intent queries your competitors ignore – not outbidding everyone on the term everyone wants.
Signal loss broke the tracking your SEM optimization depends on
The same cookie deprecation and signal loss reshaping your product also degraded the conversion tracking that paid search bidding runs on. Smart Bidding starved of conversion signal makes worse decisions, and offline enterprise deals never make it back into the platform to train the algorithm. AdTech companies, of all categories, cannot pretend the pixel still works the way it did. Without conversion modeling, offline conversion import, and a measurement approach built for signal loss, your SEM optimizes toward a number that no longer reflects revenue.
How We Help
We start by mapping search to your actual buying committee, not to generic category volume. In the first 30 days we pull your CRM to trace which queries and campaigns touched real closed deals, segment intent by buyer type, and audit where budget is going versus where pipeline actually comes from. We separate high-volume category terms that look good in a report from the specific, mid-funnel queries – integration, compliance, alternative-ID, clean-room, yield – that signal a buyer in an evaluation.
Strategy turns that into a structured account built around buyers and intent. We split campaigns by brand, agency, and publisher intent where the volume supports it, define the query themes worth owning versus the ones to cede to deeper-pocketed incumbents, and build a landing experience that matches each buyer's search. We decide where paid search should defend brand terms, capture competitor-comparison intent, and own the long-tail evaluation queries your competitors are not bidding on. This is where paid search has to connect to the broader marketing motion, because SEM that drives traffic a sales team cannot work is just spend.
Execution builds and runs the program. We rebuild the account structure, write the ad copy and the matching landing pages, set bid strategy informed by deal value rather than form-fill volume, and implement negative-keyword discipline so budget stops leaking to non-buyer searches. We tie the account to offline conversion import so closed deals flow back to train bidding, and we set conversion modeling for the queries where signal loss has degraded tracking. We run it as an embedded operator, adjusting weekly, not setting it and reporting monthly.
Measurement judges SEM on pipeline and deals, not clicks. We track cost per qualified opportunity by buyer type, pipeline influenced, sales-cycle stage progression, and eventually closed revenue attributable to search. We feed those signals back into bidding so the account learns toward the deals that actually close. A paid search program is working when marketing-sourced pipeline grows and the cost per real opportunity drops, even if raw lead volume holds flat or falls.
What makes this different is that we run SEM as operators accountable to pipeline, not as an agency optimizing to the metrics that make the dashboard look busy. We sit inside your GTM, connect search to CRM, and own the number that matters. We have run growth at scale, so we build paid search that a sales team can actually work and a CFO can actually justify.
What we deliver
- Search-to-pipeline audit tracing real closed deals back to queries and campaigns
- Buyer-segmented account structure for brand, agency, and publisher intent
- Rebuilt ad copy and intent-matched landing pages per buyer type
- Deal-value bid strategy with offline conversion import and conversion modeling for signal loss
- Pipeline-based reporting tying SEM spend to qualified opportunities and revenue
In AdTech, the term everyone bids on is the term nobody wins on. Your best paid-search pipeline comes from the specific evaluation queries your competitors ignore – and from finally importing closed deals back into bidding so the algorithm optimizes toward revenue instead of the cheapest form fill.
Our Methodology
Our paid search build for AdTech runs as a 90-day sprint, not an always-on retainer with no end state. Phase one is the search-to-pipeline audit: we connect your ad accounts to CRM, trace which queries touched real deals, segment intent by buyer, and find where budget is leaking to volume that never converts. We come out of phase one knowing which queries are worth owning and which to negative out.
Phase two rebuilds the account and the measurement foundation. We restructure campaigns by buyer and intent, write copy and landing pages that match each search, set up offline conversion import so closed deals train bidding, and configure conversion modeling for the signal-degraded queries. Every campaign gets mapped to a pipeline outcome, not a click target, so the account optimizes toward deals.
Phase three runs and tunes the program inside your GTM cadence. We adjust bids, copy, and landing pages weekly against pipeline signal, hold marketing and sales aligned on what a qualified opportunity is, and stand up reporting that ties spend to opportunities and revenue. Unlike an agency that reports on clicks and CPL, we stay embedded and accountable to the pipeline number until the program is producing it.
How We Work
Initial engagements run 3 to 6 months because paid search needs a full sales cycle and offline conversion data to prove it is driving deals, not just leads. The first 30 days are the search-to-pipeline audit and CRM connection. Days 31 to 60 rebuild the account structure, copy, landing pages, and the offline conversion plumbing. Days 61 to 90 run and tune the program against live pipeline signal.
Our team includes a paid search operator who owns the account and bidding, a conversion and measurement lead who builds the offline import and modeling, and a strategist who keeps SEM aligned to the buyer and the sales motion. From your side we need marketing ops or RevOps access to connect CRM, sales leadership to agree on what qualifies as an opportunity, and budget authority for spend decisions. We handle the account build, the creative, the landing pages, and the measurement.
The cadence is a weekly optimization session and a monthly pipeline review. Weekly sessions adjust bids, copy, negatives, and landing pages against the latest signal; monthly reviews tie SEM spend to qualified opportunities, pipeline influenced, and revenue. Most AdTech companies see cost per qualified opportunity start moving within 30 to 45 days and clear pipeline impact within a full sales cycle as offline conversions begin training the account.
- Lower cost per qualified opportunity rather than cheaper raw leads
- More marketing-sourced pipeline from high-intent evaluation queries
- Less wasted spend through buyer segmentation and negative-keyword discipline
- Smarter bidding once closed deals are imported to offset signal loss
If your adtech company needs paid search (sem) leadership, we should talk.
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Frequently asked questions
How much does a paid search engagement cost for an AdTech company?
Most AdTech paid search engagements run between $15K and $40K per month in management fees, separate from media spend, depending on account complexity and how many buyer types you target. That is less than a full-time SEM hire plus the agency overhead most companies stack on top, and it comes with operators accountable to pipeline rather than clicks.
How long before we see results from a paid search engagement?
Wasted-spend reduction and improved click quality usually show up within the first 30 days as we restructure the account and add negatives. Cost per qualified opportunity starts moving within 30 to 45 days, and pipeline impact shows across a full sales cycle, which in AdTech is one to two quarters.
How does the paid search team integrate with our marketing and sales staff?
We embed in your GTM motion and connect directly to your CRM rather than running an isolated ad account. We work with marketing ops to wire up offline conversion import and with sales leadership to agree on what counts as a qualified opportunity.
What makes Winston Francois different from a traditional paid search agency?
Most SEM agencies optimize to clicks, CPL, and a monthly dashboard that looks busy but says nothing about deals. We treat paid search as a pipeline problem, connect it to CRM, and import closed deals so bidding optimizes toward revenue.
How do you measure ROI from a paid search engagement?
We measure cost per qualified opportunity by buyer type, pipeline influenced, stage progression, and closed revenue attributable to search rather than raw leads or clicks. The headline metric is marketing-sourced pipeline at a falling cost per real opportunity.
What type of AdTech company is the right fit for this service?
Series A through growth-stage AdTech companies between $5M and $100M ARR running enterprise sales cycles whose paid search is being judged on leads instead of pipeline. The strongest fit is a company already spending on SEM but unable to tie it to deals because tracking is broken or the account targets generic category volume.
