Retail media is where search intent and checkout collide. Treat each retailer as a tiny advertising ecosystem with its own audiences, signals, and levers. That means using first party purchase data, search terms, and basket signals to target buyers at the shelf level instead of chasing broad reach that rarely converts.
Start pragmatic: choose one or two retailers that match your distribution, then map ten SKUs by margin, velocity, and strategic priority. Prioritize Sponsored Products and on-site display formats, and bring Sponsored Brands when discovery matters. If you sell grocery, favor velocity and replenishment tactics; if you sell premium goods, aim for higher AOV placements and branded discovery.
Measure like a merchant, not a marketer: revenue per click, purchase lift, ACOS, and incremental ROAS beat vanity metrics. Stitch platform pixels and sales exports to user journeys, build a proper holdout to prove lift, and run tests for at least six to eight weeks. If APIs are available, automate hourly bid adjustments for top SKUs; otherwise rely on disciplined daily rules.
Creative and operations win the race. Use product-first imagery, contextual copy that explains use case, and test simple bundles or coupon mechanics. Enforce feed hygiene, coordinate with supply so ads do not drive out-of-stock experiences, and document learnings in a central playbook. Start small - one retailer, one category, one 8-week test - then scale the winners.
Big-screen placements used to mean big price tags, but nimble brands are proving otherwise. Think of streaming as a precision amplifier: you get cinematic attention without the mass TV spend when you pick the right formats, partners, and microtests.
Start with audience first, not inventory. Buy by households or audience segments instead of channel bundles, layer contextual signals like genre and time of day, and apply smart frequency caps so your message lands without annoying viewers. That makes every dollar work harder.
Make creative that behaves like streaming: open strong in the first three seconds, design for sound on and sound off, and use a single bold call to action. Short, punchy spots often outperform long brand films on discovery platforms, so trim the fat and keep the story clear.
Budget hacks matter. Run geo or market-level pilots, test programmatic guaranteed deals for predictable CPMs, and buy pods to reduce CPM variability. Use dayparting to shift weight into prime viewing windows and pause or scale quickly based on early performance signals.
Measure the right way: track view through conversions, incremental lift, and household reach rather than last click. Tie CTV exposure to on site behavior and short term revenue so you can justify scale fast and stop wasteful buys.
Start small. Test fast. Scale smart. With targeted buys, creative built for screens, and measurement that proves value, streaming becomes a growth channel that feels premium without the premium budget.
Legacy ad playbooks leaned on mass profiling and hope. Today's smarter play is privacy-first targeting that drives performance without leaking trust: pick placements by context, reach groups with cohort signals, and validate outcomes inside secure clean rooms. That combination lets nimble ad networks outmaneuver the giants by being both respectful and measurable.
Make it operational: audit your highest-converting pages for contextual buys, define 3–5 cohort rules from first-party events, and run a small clean-room experiment with a partner to prove incremental lift. Keep the signals simple and deterministic inside the room, rely on aggregate outputs for bidding, and iterate on audiences that show true ROI rather than vanity metrics.
Privacy-forward targeting is a competitive advantage you can activate this quarter. When you are ready to move from theory to tactics, start with practical partners and tools—visit order mrpopular boosting to explore services that make contextual, cohort, and clean-room approaches work at scale.
Stop paying premium to reach everyone and hope someone converts. Niche networks give you tightly wound audiences: B2B marketplaces where buyers browse features not memes, gaming hubs where purchase intent maps to in-game behavior, and Gen Z native apps that reward bold, snackable creatives. You get context-rich placements, lower competition and clearer attribution paths—which means your ad dollar actually follows a person toward a decision instead of vanishing into vanity metrics.
For B2B, prioritize channels where intent signals—job titles, firmographics, event attendance—are first-class data. For gaming, native placements on Twitch or Steam-like environments mean discovery to wishlist or purchase in a single session. For Gen Z, favor vertical video, sound-on formats and participatory mechanics. Across all three, creative that respects the space (less corporate, more native) outperforms branded taglines every time.
Run fast, cheap experiments: cap tests at 3–7 days, $200–$1,000 per network, and measure downstream indicators (demo requests, wishlist adds, trial starts) not just CTRs. Use lookalike seeds from your highest-value customers, layer in first-party signals, and A/B headlines against native-oriented hooks. If a network delivers early signal, scale with dayparting and frequency caps before overbidding into diminishing returns.
Think of this as a sprint playlist: pick one B2B, one gaming, one Gen Z channel, launch platform-tailored creative, and track a single conversion metric tied to revenue. Within two weeks you'll know which network gives the best cost-per-acquisition and which creatives move the needle—then pour smarter budget into winners and keep the duopoly as a cost-of-reach backup, not the default destination for performance.
Think of this as a 30-day science fair for your ad strategy where the hypothesis is that the duopoly is not the only smart kid on the block. Start by carving out a modest test fund: 10–25% of your current monthly ad spend or a flat amount you can lose without fainting. Split that into three weekly buckets so you get steady data instead of a single flash in the pan. Use even pacing, predictable bids, and identical landing pages across networks so performance differences reflect the platforms, not your setup.
On creatives, go for disciplined variety. Build three creative families: safe (brand-forward), bold (value-driven), and experimental (unexpected hooks). For each family create two visuals and two headlines so rotation is meaningful. Refresh either a creative family or a single asset every 7 days to avoid ad fatigue, but do not change more than one variable at a time. Track which formats work — short video, static, carousel — and document where each thrives.
Use this quick checklist to keep the experiment honest:
Finally, set decision rules before you start: after 14 days flag winners that beat your baseline CPA by 15%+ and have steady conversion volume; pause any channel with CPA 30% worse after 21 days. If a network shows consistent promise, scale incrementally by 20% week over week. Keep a mischievous but rigorous mindset: small bets, fast learning, and a clear rulebook will tell you which non‑duopoly players deserve a permanent seat at the table.
Aleksandr Dolgopolov, 30 December 2025