A DSP (demand-side platform) is the advertiser-side interface to programmatic advertising. Advertisers use DSPs to: set audience targeting rules, upload creatives, configure bid strategies, allocate budgets, and report on performance — all across multiple ad exchanges and inventory sources simultaneously. The DSP handles the technical complexity of programmatic (RTB integration, audience data activation, bid optimization) so advertisers can focus on strategy.
Major DSPs in 2026
- The Trade Desk — the largest independent DSP. Strong in CTV, OTT, and cross-channel campaigns. Used widely by enterprise advertisers.
- Google DV360 (Display & Video 360) — Google's enterprise DSP. Integrates tightly with Google's ad stack (AdX, YouTube), strongest for advertisers already in the Google ecosystem.
- Moloco — mobile-focused DSP, particularly strong in app install campaigns and in-app inventory. ML-driven bidding optimized for app KPIs.
- Liftoff (now Liftoff+Vungle) — mobile-only DSP focused on app install and engagement campaigns. Strong creative analytics.
- Adobe Advertising Cloud — enterprise DSP integrated with Adobe Marketing Cloud.
- Yahoo DSP (formerly Verizon Media) — broad reach DSP.
- Amazon DSP — Amazon's first-party data + Twitch and IMDb inventory.
Most large mobile-app advertisers use 1-2 DSPs alongside their SAN portfolio.
DSP vs SAN — what each does best
- DSPs: cross-channel reach (mobile + CTV + display), in-app inventory at lower CPM than direct SAN buying, custom-audience activation (your CRM data → bidding signal), brand campaigns where reach matters more than performance attribution.
- SANs (Meta, TikTok, Google, AppLovin): performance UA scale, closed-loop attribution + audience graphs, deepest creative-performance feedback, best for ROAS-driven install campaigns.
For mobile-app advertisers, the practical split is usually 70-90% SAN + 10-30% DSP. DSPs add incremental reach beyond what SANs deliver; they don't replace SAN scale.
What advertisers configure in a DSP
- Audience targeting: demographic, geographic, contextual, behavioral, retargeting, lookalike, custom (uploaded CRM).
- Inventory targeting: which ad exchanges, which app / publisher whitelists / blocklists, which ad formats.
- Bid strategy: bid floor, max bid, target CPM or CPI or CPA, automated bidding goals.
- Creative management: upload creative variants, A/B testing, rotation rules.
- Frequency capping: max impressions per user per window.
- Brand safety: which content categories to avoid (adult, gambling, violence, news, politics).
- Viewability and verification: which third-party verification (IAS, Moat, DoubleVerify) to enforce.
Mobile-app fit considerations
- iOS post-ATT: DSPs depend on you (or your MMP) to provide attribution. SANs handle it natively. Setup is heavier.
- In-app inventory access: most DSPs integrate with major mobile ad exchanges (PubMatic, Magnite, OpenX, MoPub formerly). Verify their mobile inventory depth for your category.
- Audience activation: DSPs work best when you have first-party audience data (CRM, web visitors, app users) to upload as bid-targeting seeds.
- Reporting integration: most DSPs integrate with major MMPs for unified attribution reporting.