Value-Based Optimization (VBO / VBB)

Value-Based Optimization (VBO, sometimes called VBB for value-based bidding) is a class of ad-platform bidding strategies that optimize toward predicted user value rather than just install count. Where install-count bidding asks the algorithm to maximize the number of installs at a given cost, VBO asks it to maximize the total value (revenue, predicted LTVGlossarypLTV (Predicted Lifetime Value)A class of machine-learning models that predict a user's eventual lifetime value within hours or days of install, based on early-funnel signal — not observed multi-y..., ROASGlossaryROAS (Return On Ad Spend)Campaign revenue divided by campaign cost over a defined time window — the core profitability ratio for paid user acquisition.) those installs will generate.

Major VBO implementations in 2026

• Meta Advantage+ Value Optimization — Meta's automated bidding for value events. Requires conversion-value events flowing back via Conversions API or Meta SDKGlossarySDK (Software Development Kit)A packaged set of code, libraries, and tools a developer drops into an app to add a capability — the integration unit for attribution, analytics, ads, and monetizati....
• TikTok VBB (Value-Based Bidding) — TikTok's equivalent for in-stream UAGlossaryPaid UA (Paid User Acquisition)Mobile app user acquisition via paid advertising channels — Meta, TikTok, Google, AppLovin, ironSource, and other ad networks. campaigns.
• Google tROAS for Apps — Target ROAS bidding for Google App Campaigns. The user specifies a target ROAS percentage; Google bids to hit it.
• AppLovin / Liftoff value bidding — value-event-driven bidding in in-app exchanges.

All major SANs and many programmatic DSPs now offer some form of value-based bidding.

Why VBO outperforms install-count bidding

• Naturally surfaces high-LTVGlossaryLifetime Value (LTV)The total revenue (or gross profit) you expect a single user to generate over their entire relationship with the app — the denominator of every UA decision. users — instead of competing for any install at the cheapest price, the network competes for installs likely to generate the most value.
• Self-tunes to your unit economics — if your high-LTV users are concentrated in specific demographics / interests, VBO finds them. You don't have to manually segment.
• Compounds with creativeGlossaryAd CreativeThe visual and audio content of an ad — video, image, copy, sound. The single most important variable in modern mobile UA, lifting IPM and lowering effective CPI. quality — VBO + high-IPMGlossaryInstalls Per Mille (IPM)The number of installs generated per 1,000 ad impressions — a creative-quality metric ad networks use to decide which ads to show more often. creatives generate the strongest performance compounding.
• Better post-ATTGlossaryApp Tracking Transparency (ATT)Apple's iOS 14.5+ framework requiring apps to display a system prompt and obtain user consent before accessing the IDFA or tracking the user across other apps and we... performance on iOS — VBO works well with SKANGlossarySKAdNetwork (SKAN)Apple's privacy-preserving attribution framework for iOS — returns install credit to ad networks with a deliberate delay and aggregation, without exposing any device... conversion-value signals (the conversion valueGlossaryConversion ValueA small integer (0-63 on SKAN 1-3, coarse/fine pairs on SKAN 4) that apps encode post-install user behavior into, returned by Apple in SKAdNetwork attribution postba... IS the user-value proxy).

What you need to feed VBO

1. 01Reliable conversion-value events — every IAPGlossaryIn-App Purchase (IAP)Any purchase made inside an app after installation — consumables, non-consumables, or subscriptions. Processed by Apple or Google, who take a 15-30% commission., subscriptionGlossarySubscriptionA recurring in-app purchase that charges the user on a fixed cadence (weekly, monthly, annual) until they cancel. start, key milestone fired back to the network with revenue or pLTV score.
2. 02Server-side firing where possible — Meta Conversions API, TikTok Events API, Google's enhanced conversions. More reliable than client-side SDK events.
3. 03Sufficient event volume — VBO needs ~50+ value events per week per ad set to learn well. Below that threshold, the optimization signal is too sparse.
4. 04Consistent value encoding — same currency, same value definition, no schema changes mid-campaign.
5. 05For pLTV: a model that scores users within hours of install + a pipeline to fire those scores to the ad networkGlossaryAd NetworkA platform that aggregates ad demand from many advertisers and matches it to publisher inventory through real-time auctions..

VBO often takes 2-4 weeks of learning to outperform install-count bidding — the network needs time to learn which value-generating users look like in your specific app.

When VBO doesn't work well

• Low-volume campaigns — under 50+ value events per week per ad set, optimization signal is too sparse.
• Apps with weak revenue events — if conversions are rare or unpredictable, VBO struggles to find a signal.
• Very new programs — VBO needs historical signal to learn patterns. Brand-new programs may start with install-count bidding and graduate to VBO at 3-6 months.
• Apps with poor server-side event wiring — VBO requires reliable event delivery. Apps with broken event pipes get worse results than basic install bidding.