
CTV moves on pricing, ad load, content exclusivity, and device placement faster than most teams can track it manually. Winston Francois builds the competitive intelligence system that turns scattered public signals – earnings calls, App Store rankings, OEM announcements, ad-tier launches – into decisions your leadership team can act on before the quarter ends, not after.
Pricing and tier changes get tracked by accident, not by process
A competitor drops the price of their ad-supported tier, folds two SKUs into one, or quietly raises the ad-free price by two dollars, and your team learns about it from a support ticket or a sales rep's Slack message. Streaming pricing moves fast because subscriber growth has slowed across the category and every platform is testing what the market will bear. Without a standing process to catch these changes the day they happen, your pricing team is always reacting instead of deciding, and your own tier strategy ends up anchored to old assumptions about where competitors sit.
Ad-load and ad-tier strategy shifts happen inside the platform, invisible from outside
When a competitor launches or expands an ad-supported tier, changes ad load per hour, or shifts ad break frequency and placement, that decision ripples through advertiser demand, CPMs, and where agencies allocate CTV budget next quarter. Most CTV companies only notice once an agency contact mentions it in a pitch meeting. By then the competitor has already had a full sales cycle to reposition their ad product and lock in upfront commitments your team didn't know were in play.
Content licensing and exclusivity moves signal strategy shifts your board will ask about
A competitor renewing a licensing deal, losing exclusivity on a marquee title, or announcing a new original series windowing strategy is a direct signal about where they're spending capital and what audience they're chasing next. These moves get covered in trade press and earnings call transcripts, but the signal is scattered across dozens of sources and easy to miss until a board member asks why a rival's subscriber numbers jumped and nobody on the team has an answer ready.
Device and OEM placement deals plus subscriber signals get read too late to matter
Default app placement on a new smart TV line, a home screen carousel slot, or a bundled subscription deal with an OEM can shift acquisition costs across the entire category, and the same is true for subscriber trend data buried in App Store ranking movement, data.ai style charts, and earnings call commentary about churn. Advertiser and agency sentiment toward a competitor's ad product is another signal that only shows up in conversations your sales team is already having but never systematically captures. None of this is secret. It's public. It's just not organized anywhere your leadership team looks before making a decision.
We start by mapping your actual competitive set – not a generic list of streaming platforms, but the specific rivals you lose deals to, get compared against in advertiser RFPs, and get asked about in board meetings.
From there we build the tracking system. This means monitoring pricing pages and app store listings for tier or price changes, tracking earnings call transcripts and investor materials for subscriber and churn commentary, watching trade press and FCC or industry filings for content licensing and OEM partnership news, and pulling App Store and Google Play ranking movement as a proxy for subscriber momentum between earnings cycles.
Raw signals are worthless without synthesis. Every tracked change gets translated into what it means for your specific competitive position – not "Competitor X changed pricing" but "Competitor X cut their ad-tier price 20 percent below yours, which changes the comparison your sales team faces in every mid-market deal this quarter." This is the difference between a monitoring tool and a competitive intelligence function.
We build the cadence around how your leadership team actually makes decisions. That usually means a standing weekly digest for pricing, ad product, and content signals that move fast, plus a deeper quarterly competitive review tied to your planning cycle that covers subscriber trend analysis, device distribution shifts, and content strategy positioning.
The system also has to survive contact with your own team's skepticism. CTV moves fast enough that a report built in week one can be stale by week four if nobody owns updating it.
Where it matters, competitive intelligence feeds directly into your own product and measurement work. A competitor's ad-load increase changes what your sales team can credibly claim about ad experience; a competitor's device placement deal changes your own device partnership priorities. We connect the intelligence to the decisions it should actually influence rather than leaving it as a standalone report.
Every signal that matters in CTV competitive intelligence is already public – pricing pages, app store rankings, earnings calls, trade press. Nobody is winning because they have secret information. They're winning because they have a process that catches the signal the week it happens instead of the quarter after.
Winston Francois competitive intelligence engagements for CTV companies run a 90-day build followed by an ongoing tracking relationship. The first 30 days are spent mapping your true competitive set and auditing what signals you're already capturing informally through sales, product, and leadership conversations versus what's falling through the cracks entirely.
Days 30 to 60 build the actual tracking system – the sources monitored, the cadence, and the templates for turning raw signals into decisions. We test the system against real recent competitive moves in your category to make sure it would have caught them, then adjust based on what the first few weeks of live tracking surface.
Days 60 to 90 hand the system to your team with a defined owner and a training process, and we set the reporting cadence that matches how your leadership actually plans – weekly for fast signals, quarterly for the deeper strategic review. CTV competitive dynamics shift with every earnings season and every new ad-supported tier launch across the category, so the system is built to keep running on a defined rhythm rather than depend on someone remembering to check.
The first 30 days focus entirely on mapping and audit – understanding your real competitive set, the decisions your leadership team actually needs intelligence to inform, and what's currently getting missed. We don't start building trackers until we know what they need to catch.
Days 30 to 60 are system build and testing. We stand up the monitoring across pricing, ad product, content licensing, device deals, and subscriber signals, then run it against recent history in your category to validate it works before treating it as live.
Days 60 to 90 are handoff and cadence-setting. We train an internal owner, set the weekly and quarterly reporting rhythm, and connect the intelligence output to the teams who need to act on it – pricing, sales, product, and marketing.
Most clients keep an ongoing quarterly advisory relationship after the initial build, since CTV competitive dynamics shift constantly and a tracking system needs periodic recalibration as new competitors enter or existing rivals change strategy. Typical initial engagements run three months, with quarterly check-ins after that.
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Competitive intelligence builds at Winston Francois typically run $18,000 to $38,000 for the initial 90-day system build, depending on how many competitors and signal categories are in scope. Ongoing quarterly advisory support to keep the system current and deliver the deeper strategic reviews usually runs $6,000 to $14,000 per quarter.
We track competitor pricing pages and app store listings for tier and price changes, earnings call transcripts and investor materials for subscriber and churn commentary, trade press and industry filings for content licensing and OEM partnership news, App Store and Google Play ranking movement as a subscriber momentum proxy, and a structured intake process for advertiser and agency sentiment your own sales team hears in the field. We build the exact source list around your specific competitive set during the mapping phase.
Trade press and research firms give you information; they don't tell you what it means for your specific pricing, ad product, or content decisions. A generic subscriber report doesn't tell your sales team how to respond when a rival undercuts your ad-tier price this week.
The tracking system starts surfacing usable signals within the first 30 to 45 days as sources come online, though the full weekly and quarterly cadence isn't running at full strength until the 90-day build completes. Teams typically see the first real payoff – catching a pricing or ad-tier move before a customer or competitor's sales team brings it up first – within the first two months.
We need access to whoever currently owns competitive knowledge informally, usually someone in product marketing, strategy, or sales enablement, since a lot of the best signal already exists in their heads and just isn't written down. That same person typically becomes the internal owner of the system after handoff.
This works best for CTV and streaming companies in the $5M to $100M ARR range where competitive moves – a rival's ad-tier price cut, a content exclusivity loss, a device placement deal – are already affecting deals or board conversations but nobody owns tracking them systematically. If your team is currently relying on someone noticing a competitor's change by accident, that's the gap this closes.
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