AdTech RFPs are won on supply-path math, take-rate transparency, and roadmap credibility – not feature lists. Competitive intelligence gives your sales team the real picture of how the incumbent prices, where the walled garden is vulnerable, and why a buyer should switch.
The Problem
You are guessing at competitor pricing and take rates
AdTech deals turn on economics the buyer cannot easily see – effective CPMs, SSP take rates, DSP fees, the layered margin in the supply path. When your sales team does not know what the incumbent actually charges or how their auction dynamics work, they cannot frame your value and they get anchored by the buyer's existing relationship. You lose deals on price you could have won on transparency. Without real intel on competitor economics, every RFP is a negotiation you enter blind.
The competitive set is a moving target after every acquisition
AdTech consolidates constantly – holding companies acquire, platforms absorb point solutions, and a competitor's capabilities change overnight when they buy a CDP or a measurement firm. A static battlecard built last quarter is wrong this quarter. Sales teams keep selling against a competitor that no longer exists in the form they remember, and they get blindsided when a prospect mentions a capability the competitor just acquired. Keeping pace with the LUMAscape's churn is a full-time intelligence problem most companies do not staff.
Walled gardens and incumbents shape buying criteria you did not write
Google, Amazon, and the large platforms set the default expectations for measurement, identity, and reach that every buyer carries into an RFP. When you do not understand how the incumbent frames the category, you answer the questions they planted instead of reframing the conversation around where they are weak. Buyers evaluate you against criteria written by your largest competitor, and you let them. Competitive intelligence is what lets you change the questions instead of just answering them.
Win/loss patterns are invisible without a deliberate practice
Most AdTech companies have a vague sense of why they lose – too expensive, missing a feature, lost to the incumbent – but no rigorous read on the real patterns. They never interview the buyers who chose someone else, so the same losable objections recur deal after deal. The product team builds the wrong things and sales keeps walking into the same wall. Without a disciplined win/loss practice, you are paying for the same mistakes repeatedly and calling it market conditions.
How We Help
We start by reconstructing the real competitive landscape, not the one on your battlecard. In the first 30 days we map the actual competitive set you face in deals – including the walled gardens, the platform incumbents, and the recent acquisitions that changed who you compete with – and we run win/loss interviews with buyers who chose you and who chose someone else. We build a clear picture of how each competitor prices, where their supply path and take rate are vulnerable, and what objections are actually killing your deals.
Strategy development turns intel into a sales advantage. We translate competitor economics, supply-path structure, and roadmap signals into positioning your reps can use in a live deal – how to reframe a Google-anchored RFP, how to expose the layered margin in a competitor's supply path, how to handle the objection that recurs in every loss. We connect this to your growth strategy so intelligence shapes not just individual deals but which segments you should fight for and which you should cede. Battlecards become living tools tied to real intel, not feature grids that go stale.
Execution embeds intelligence into the sales motion. We run a recurring win/loss practice, maintain a current view of the competitive set as the market consolidates, and equip the sales team with reframes and proof for the specific competitors they face. We work with sales leadership so intel reaches reps in the moment they need it – in deal reviews, in RFP responses, in objection handling – rather than sitting in a document no one opens. The goal is a sales team that walks into every competitive deal knowing more about the other vendor than the buyer does.
Measurement tracks competitive win rate and its drivers. We watch win rate against named competitors, the recurrence of specific objections, and whether deals shift from price-anchored to value-led once reps can reframe the supply-path economics. We feed loss patterns back to product and marketing so the whole company stops repeating the same mistakes. Competitive intelligence works when win rate against your hardest competitor goes up and the objections that used to kill deals stop recurring.
What makes this different is that we run competitive intelligence as operators who have sat in AdTech deal rooms, not as analysts producing reports. We embed fractionally, tie intel directly to win rate, and stay accountable until the sales team is winning deals they used to lose.
What we deliver
- Reconstructed competitive set including walled gardens and recent acquisitions that changed the landscape
- Win/loss interview practice with buyers who chose you and who chose competitors
- Competitor economics and supply-path analysis your reps can use in live deals
- Living battlecards with reframes for Google, Amazon, holding companies, and key platform incumbents
- Competitive win-rate dashboard tracking named-competitor win rate and recurring objections
AdTech deals are won on supply-path math and take-rate transparency, not feature checklists. The rep who understands the incumbent's economics better than the buyer does can reframe a price objection into a margin exposure – and that flips the deal.
Our Methodology
Our competitive intelligence build for AdTech runs as a 90-day sprint that installs a practice, not a one-time report. Phase one reconstructs the real competitive set – including walled gardens and recent acquisitions – and launches win/loss interviews with buyers who chose you and who chose someone else. We surface the actual loss patterns and competitor economics, not the assumptions on your battlecard.
Phase two translates intel into sales tools. We analyze competitor pricing, take rates, and supply-path structure, build the reframes that change a Google-anchored or holding-company RFP, and convert recurring objections into handling scripts backed by proof. Battlecards become living tools tied to current intel.
Phase three installs the operating cadence. We embed intel into deal reviews and RFP responses, run a recurring win/loss rhythm that keeps the competitive view current as the market consolidates, and stand up a dashboard tracking named-competitor win rate. Unlike research firms that deliver a report and leave, we run competitive intelligence as an embedded sales-enablement practice accountable to win rate.
How We Work
Initial engagements run 3 to 6 months because a competitive intelligence practice needs at least one full cycle of deals and win/loss interviews to prove out and to keep pace with consolidation. The first 30 days reconstruct the competitive set and launch win/loss interviews. Days 31 to 60 produce competitor economics analysis and the first living battlecards. Days 61 to 90 embed intel into the sales motion and stand up the win/loss cadence and dashboard.
Our team includes a competitive strategist who owns the practice, a research lead who runs win/loss interviews and competitor economics, and a sales-enablement operator who gets intel into reps' hands in deal reviews and RFPs. From your side we need sales leadership participation, access to recent won and lost deals for interviews, and product marketing to keep battlecards accurate against the roadmap. We handle research, analysis, enablement, and measurement.
The cadence is a weekly deal-review touchpoint and a monthly competitive review. Weekly sessions arm reps on live competitive deals; monthly reviews tie intel to named-competitor win rate, recurring objections, and loss patterns fed back to product. Most AdTech companies see better-prepared reps within 30 to 45 days and measurable competitive win-rate improvement within a full sales cycle.
- Improved win rate against named competitors and walled-garden incumbents
- Fewer price-anchored losses as reps reframe supply-path economics
- Reduction in recurring objections that used to kill competitive deals
- Better product and marketing decisions from feedback on real loss patterns
If your adtech company needs competitive intelligence leadership, we should talk.
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Frequently asked questions
How much does a competitive intelligence engagement cost for an AdTech company?
Most AdTech competitive intelligence engagements run between $20K and $45K per month depending on the size of the competitive set, the volume of win/loss interviews, and how much ongoing tracking the market's consolidation requires. That is less than staffing a dedicated competitive-intelligence function, and it comes with operators who tie intel to win rate rather than producing shelfware reports.
How long before we see results from a competitive intelligence engagement?
Reps are better prepared for competitive deals within 30 to 45 days as the first battlecards and win/loss insights land. Measurable improvement in win rate against named competitors shows up across a full sales cycle, typically one to two quarters in AdTech.
How does the competitive intelligence team integrate with our sales staff?
We embed in your sales motion rather than producing standalone reports. We join deal reviews, arm reps with reframes during live RFPs, and run a recurring win/loss rhythm with sales leadership. Sales leadership is the critical partner because intelligence only changes outcomes when it reaches reps at the moment of the deal, not when it sits in a document.
What makes Winston Francois different from a traditional competitive research firm?
Research firms deliver a report and a battlecard, then leave. We run competitive intelligence as an embedded sales-enablement practice tied to win rate, with operators who have sat in AdTech deal rooms and understand supply-path economics. We keep the competitive view current as the market consolidates and stay accountable until win rate against your hardest competitor improves.
How do you measure ROI from a competitive intelligence engagement?
We measure win rate against named competitors, the recurrence of specific objections, and the share of deals that shift from price-anchored to value-led. The headline metric is improved competitive win rate against the incumbents you keep losing to. Most AdTech companies see clear directional ROI within a quarter and revenue impact within a full sales cycle as deals that were unwinnable start closing.
What type of AdTech company is the right fit for this service?
AdTech companies between $5M and $100M ARR that compete in RFPs against walled gardens, platform incumbents, or holding-company-owned tools and lose deals they should win. The strongest fit is a company with a real sales motion and enough deal volume to run a meaningful win/loss practice. The first step is a competitive audit and a round of win/loss interviews to surface the patterns currently costing you deals.
