In AdTech, your competitive set changes faster than in almost any other B2B category. Walled gardens add features, DSPs expand vertically, and new identity solutions enter the market monthly. The companies that keep winning are the ones with a systematic intelligence operation – not reps who find out about competitive moves from lost deals.
The walled gardens are your most dangerous competitor and the hardest to track
Google, Meta, and Amazon don't send press releases when they ship a feature that eats your market. They release it quietly in product update notes, fold it into existing tools, and by the time your sales team encounters it in a prospect conversation, buyers have already been briefed. The gap between when a walled garden adds a capability and when your reps know how to position against it costs real deals. Systematic competitive intelligence closes that gap from months to days.
AdTech pitch decks lie and buyers know it
Every DSP claims the highest match rates. Every attribution platform claims the most comprehensive data. Every identity solution claims the widest coverage. Buyers have seen enough platform evaluations to be deeply skeptical of self-reported metrics, but they still need a framework for evaluating competing claims. The AdTech companies that win competitive evaluations are the ones that know exactly what claims their competitors are making and have prepared specific, credible counter-narratives before the evaluation starts.
Pricing intelligence is particularly hard to get and particularly valuable
AdTech pricing is notoriously opaque. DSPs negotiate CPM floors individually. SSPs offer custom take rates for large publishers. Data providers price differently based on volume, vertical, and geography. This opacity creates opportunities for competitors to undercut you in deals you don't even know are competitive. Understanding the pricing patterns of your key competitors – what they're charging at different deal sizes, where they're willing to flex, and what terms they're leading with – is some of the most actionable intelligence in the category.
Product roadmap visibility determines whether you're reacting or leading
AdTech buyers evaluate vendors not just on current capabilities but on where the product is going. If your competitor is presenting a roadmap that addresses the buyer's two-year priorities while your team is focused on current features, you lose the enterprise deal even if your current product is superior. Intelligence on competitor roadmap direction – from patent filings, hiring patterns, trade press interviews, and developer forum activity – lets you anticipate what's coming and get ahead of it in your own roadmap and positioning.
Competitive intelligence for AdTech starts by defining the competitive set properly. Most AdTech companies track direct feature competitors but miss the biggest threats – walled garden feature releases that erode the value prop, adjacent platforms expanding into their category, and private-equity backed roll-ups combining capabilities they didn't have individually. The first deliverable is a complete competitive map that includes all three threat types, not just the names that appear in RFPs.
From the map, we build the intelligence collection infrastructure. This includes monitoring channels for each competitor: product update pages, job postings (a company aggressively hiring ML engineers in a specific area is telling you something about their roadmap), developer forum activity, analyst report tracking, press coverage, and sales rep field intelligence from lost deals. We configure monitoring tools and set up a cadence for intelligence synthesis that doesn't require your team to spend hours reading every day.
Competitive battlecards are where intelligence becomes operationally useful for the sales team. We build battlecards for each tier-one competitor that go beyond feature comparisons – they include the specific claims competitors make in pitches, the objections their sales reps raise about your platform, the buyer questions that signal a competitive evaluation, and the specific counter-narratives your reps should use. Battlecards get stale fast in AdTech; we build a refresh process into the program from day one.
Win/loss analysis is the intelligence source that most AdTech companies underuse. Post-deal interviews with buyers who chose a competitor or chose your platform reveal the real competitive dynamics – which claims actually moved the decision, which competitive objections were decisive, and where your positioning is working versus where it's creating confusion. We design and run win/loss programs that produce actionable intelligence, not just data.
Competitive intelligence programs need executive visibility to drive action. We build a quarterly competitive briefing format for leadership that translates intelligence into product, pricing, and positioning decisions. The goal is a closed loop between what you're learning about the market and what your team is doing differently because of it.
In AdTech, your biggest competitive threats aren't always named in the RFP. The budget risk is often a walled garden shipping a self-serve feature that replaces your niche, or an adjacent platform expanding into your category because a PE buyer decided your category is undervalued. You need intelligence on all three threat types, not just the names in your current competitive set.
Competitive intelligence programs at Winston Francois are built over a 90-day initial sprint and then maintained on an ongoing basis. The first 30 days are infrastructure – mapping the competitive landscape, setting up monitoring tools, and establishing the field intelligence process for win/loss data collection from your sales team.
Days 30 to 60 are deliverable development – the first round of battlecards, the win/loss interview program, and the executive briefing format. We run the first competitive briefing with leadership during this phase to establish the cadence and get buy-in on the format.
Days 60 to 90 are sales team enablement and process integration. Battlecards only create value if reps actually use them; we build the enablement materials and training cadence to ensure adoption. We also establish the ongoing refresh process – how often battlecards get updated, who is responsible for field intelligence input, and what triggers an out-of-cycle update when a major competitive move happens.
Ongoing maintenance is where competitive intelligence compounds. The goal is a living program that keeps your team consistently better-informed than your competitors' teams – not a one-time audit that goes stale within 60 days.
Competitive intelligence engagements start with the 90-day setup sprint and typically move into a quarterly retainer for ongoing intelligence synthesis and battlecard maintenance. The first phase requires significant input from your sales team – we conduct structured interviews with reps about what they're encountering in competitive deals, and that intelligence feeds directly into the battlecards.
We work with marketing, sales, and product leadership because competitive intelligence at the program level needs to drive decisions in all three functions. A competitive move that has implications for your roadmap, your pricing, and your positioning requires cross-functional visibility.
Reporting cadence after setup is monthly intelligence updates (monitoring summaries and field intelligence synthesis) plus quarterly executive briefings. We also deliver rapid-response competitive alerts when a major competitive event happens – a competitor's funding announcement, a product launch, or a significant trade press story that requires an immediate response.
If your adtech company needs competitive intelligence leadership, we should talk.
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Initial competitive intelligence setup at Winston Francois runs $15,000 to $35,000 for the 90-day sprint, covering competitive mapping, infrastructure setup, battlecard development, and win/loss program design. Ongoing maintenance retainers typically range from $5,000 to $12,000 per month depending on the scope of the competitive set and the frequency of deliverables.
The fastest impact comes from battlecards because reps can use them immediately in active deals. Teams typically see improved confidence in competitive conversations within 60 days of battlecard deployment, and win rate data starts to shift in the three to six month window as reps apply the new narratives across a meaningful sample of deals.
We design the program around your existing sales process, not a separate workflow. Battlecards live in the tools your reps already use – whether that's Salesforce, Highspot, or a shared drive. Field intelligence collection is built into your existing post-deal review process rather than added as a separate step. The goal is minimal behavior change from reps while maximizing the intelligence they contribute and the value they get from the program.
Market research firms produce reports – Winston Francois produces operational programs. The difference is that our deliverables are built for sales reps and product managers to use in their daily work, not for executives to read once a quarter. We're also operators who understand AdTech category dynamics specifically – we know which competitive moves are existential and which are noise, which claims in competitor pitches are credible and which are inflated, and how to translate competitive intelligence into sales messaging that actually holds up under buyer scrutiny.
We track three categories of metrics: input metrics (battlecard usage rates, win/loss interview completion rates), leading indicators (rep confidence scores on competitive scenarios, time-to-response on competitive alerts), and outcome metrics (win rates against tracked competitors, deal cycle time in competitive evaluations). The outcome metrics take six to twelve months to show reliable signal, so the input and leading indicator metrics are what we manage to in the early stages of a program.
The most urgent fit is an AdTech company losing deals to competitors but without a clear understanding of why – where your win/loss data just says 'competitive loss' without the specifics. The second urgent fit is a company facing a significant new competitive threat: a walled garden expanding into your space, a well-funded new entrant, or a platform acquisition that suddenly gives a competitor capabilities they didn't have. If you're consistently in competitive evaluations and your reps are improvising their competitive responses, a program is worth prioritizing.
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