When every bidder chases the same premium placements, bids inflate and efficiency dies. Rather than letting CPMs eat your ROAS, wrestle back control by changing where and how you buy—moving from open auction noise to cleaner, negotiated inventory that rewards relevance over bid aggression.
Swap some open auction spend for private marketplaces and programmatic guaranteed deals. Fix pricing for core audiences, set sensible floors on first price auctions, and buy audience slices by intent, not by cookie chase. These changes stop the bidding war without throttling reach or conversions.
Keep performance high by reworking creative and measurement. Use dynamic creative to match context, sequence messages to reduce fatigue, and run lightweight lift tests so you are optimizing for incremental value rather than vanity metrics. Align attribution windows with the true purchase cycle to avoid overpaying for late conversions.
Start with a 10 percent pilot: negotiate a month of fixed rates, monitor CPA and frequency, then scale winners. In short, stop overpaying for the same eyeballs. Pay less, perform equal or better. Buy smarter, not louder, and let alternative networks shoulder the heavy lifting while you keep performance intact.
Do not sleep on native, CTV, and retail channels. They feel smaller, but their feeds are where sustained attention and buyer signals live — not buried under feed fatigue and auction noise dominated by two giants.
Their biggest edge is context and intent: native units match content tone and user mood, CTV delivers lean back attention during viewing sessions, and retail media connects ads directly to cart level signals and real purchase intent. Lower bid pressure combined with tighter intent frequently translates into outsized ROAS.
Measurement is messier outside platform pixels, so operationalize first party telemetry, server to server conversion events, and routine incrementality tests that isolate true lift. Stop optimizing for cheap clicks; prove uplift with holdouts, cohort analysis, and revenue per user metrics.
Creative is the multiplier. For native, write like an editor: useful openers, social proof, and one clear CTA. For CTV, favor strong visual hooks, clean branding, and 10 to 15 second story beats. For retail ads, surface SKU imagery, price, and stock to shorten the path to purchase.
Vendor selection matters: prioritize partners who provide SKU level reporting, audience match to first party lists, and flexible placements you can A/B. Negotiate data egress and incrementality guarantees, then reinvest savings into creative iteration and margin positive offers.
Reddit converts differently because people self-select into tribes. Ads that land inside a subreddit can feel like a peer tip rather than a cold interruption, and that changes behavior. While lookalike models chase statistical twins, community placements tap explicit intent, shared language, and credibility that turn curiosity into actual clicks and purchases.
To win, stop treating Reddit like another placement to blast. Match tone, respect moderation, and lead with value: short demos, thoughtful comment replies, or a focused AMA that answers the exact questions members ask. Native creative plus real interaction reduces skepticism and often yields higher engagement-to-conversion rates than broad lookalike campaigns.
Measure with first-party events and short attribution windows, then scale where community signals compound. Shift a small portion of budget from lookalike experiments into subreddit pilots and reinvest based on CPA and LTV, not vanity metrics. The result is a smarter spend that leverages real affinity rather than statistical guesswork.
Think of creative like chemistry: different formats react best at different funnel temperatures. Start by mapping your funnel—awareness, consideration, conversion, retention—and assign one or two go-to formats per stage. This reduces wasted impressions and lowers CPMs because ad systems (especially on upstart networks) reward relevance and completion rates. Quick audit: for each funnel stage list your goal, preferred metric, and a simple creative hypothesis you can test in a week.
Top-of-funnel wants attention, not persuasion. Use bold, snackable creative: 6–15s vertical videos with a curiosity hook in the first 3 seconds, animated captions, and a single visual idea. Try thumbnail-led static images or punchy GIFs where video inventory is scarce. Keep CTAs soft—brand lift, clicks to content, or follow—so you capture cheap reach that primes later stages.
In the middle, educate and build preference. Carousels, 30–90s explainers, demo reels and user-generated clips shine here because they hold attention and answer objections. Layer social proof early—stats, short testimonials—and experiment with interactive formats like polls or swipe-to-see features. Use retargeting pools that only see mid-funnel assets to maximize relevance and drive lower CPAs when they move closer to purchase.
When conversion matters, be surgical: comparison videos, step-by-step demos, limited-time offers and clear single-action CTAs. Match landing pages to creative to avoid drop-offs, and use sequential creative (reminder ad -> comparison -> checkout incentive) to shave CPA. Measure at the creative level, double down on winners, and migrate those assets to alternative ad networks where CPMs are cheaper — the same creative chemistry that outperforms on big platforms often scales faster and cheaper off the duopoly.
Start with a tight, hypothesis-driven sprint: pick one clear promise you want the network to deliver — cheaper leads, higher CTR, or a lower CPA than your current baseline — and fund it with a small, intentional budget (think 5–10% of your monthly ad spend or a fixed $300–$1,000). Split that into 3–5 micro-campaigns to test creatives, audiences, and placements in parallel so you get signal fast instead of one noisy experiment.
Checkpoints matter. On day 7 validate delivery (impressions, CTR) and ditch anything underperforming; by day 14 focus spend on the best creative + audience pair; day 21 evaluate cost per conversion and lead quality versus your control channel; day 30 decide to scale 3x, optimize further, or kill it kindly and reallocate. Use one primary KPI (CPA or ROAS) and two secondary metrics (CTR and conversion rate on landing). If the primary KPI is worse than baseline by more than 30% by day 21, it is time to kill.
Be ruthless about learnings: document what worked, reduce friction where conversions trended up, and scale winners incrementally. If you kill a test, preserve the assets and audience insights — today's failed network can be tomorrow's secret weapon when you revisit with a smarter creative or offer.
Aleksandr Dolgopolov, 01 January 2026