Zynga
vertically integrated adtech driven by ML (DSP, SSP, mediation)
Zynga bought the ad platform Chartboost in August 2021 for about $250 million ($234.6M in consideration in Take-Two's 8-K) to vertically integrate a DSP, SSP, and mediation chain driven by machine learning, serving acquisition and monetization, before selling it to LoopMe in December 2024.
Key points
- Internalization of the ad chain driven by ML (DSP, SSP, mediation).
- The Chartboost platform and its SDK, acquired in 2021.
- Acquired for about $250 million, sold to LoopMe in December 2024.
- Evidence level B, mixed-signals status.
Objective
Internalize the ad chain, on both the acquisition and monetization sides, to capture the margin and optimize it with machine learning across the Zynga portfolio and the Chartboost partner network.
The deployment
In August 2021, Zynga bought Chartboost, a unified ad platform that combines a DSP, an SSP, and mediation through an SDK, and that relies on advanced machine learning and data science to optimize programmatic advertising and yields. The deal, closed on August 4, 2021, was presented at around $250 million in cash, with the exact consideration at $234.6 million in Take-Two's SEC filings. The goal was vertical integration: combining content, a direct relationship with players, massive reach, and a full ad stack, applicable to the Zynga games portfolio and to Chartboost partners alike, to better acquire and monetize players. Zynga, which came under Take-Two in 2022, later sold Chartboost to LoopMe in December 2024. The case illustrates a bet on ML-driven adtech put to work for the UA and ad monetization of a mobile publisher at scale, up to the resale of the platform.
Results Proof B
The brand's official release and the parent company's SEC filings document the acquisition and the role of ML in the ad chain, with concordant established press. No isolated measure of the AI's performance, hence B.
How it works
Documented architectureThe stack in detail
- plateforme Chartboost Unified ad platform bought by Zynga in 2021: DSP, SSP, and mediation, optimized by machine learning and data science.
- infra SDK Chartboost Collects ad inventory in Zynga games and across the partner network.
- outil ML d'enchere et de yield Chartboost Proprietary models that arbitrate programmatic bidding on the demand side and yield on the supply side; their accuracy depends on the attribution signal and tracking consent.
How it runs, concretely
For ops teams-
1Inventory sourcing platform (Chartboost)
The SSP and the SDK collect ad inventory in Zynga games and across the network.
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2Programmatic bidding AI (bidding ML)
The DSP bids on this inventory for UA, arbitrated by ML on estimated value.
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3Mediation and yield AI (yield ML)
Mediation arbitrates between demand sources to maximize CPM and fill rate.
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4UA and monetization loop marketing / monetization team
The same players are acquired on one side and monetized through ads on the other, in an integrated chain.
The attribution and user-value signal, which feeds the bid and the yield. If tracking consent degrades, bid optimization and CPM decline.
How your customers perceive this type of use
Sourced studiesLe pricing algorithmique est le terrain le plus inflammable : 68% des consommateurs disent se sentir leses quand les marques utilisent le pricing dynamique et 80% jugent plus dignes de confiance les marques aux prix constants (Gartner, 2024). L'equite percue varie selon le secteur : le pricing dynamique n'est juge juste que par 33% a 40% des repondants selon qu'il s'agit de concerts ou de cinemas (YouGov, 17 marches). Le prix personnalise par les donnees individuelles est le plus rejete : 47% des Americains s'y opposent fermement (Consumer Reports, 2024).
Acceptance conditions
- La constance des prix comme signal de confiance : 80% jugent plus fiables les marques aux prix stables (Gartner 2024)
- Le secteur conditionne l'equite percue : le pricing dynamique est mieux tolere pour les cinemas (40% le jugent juste) que pour les concerts (33%) (YouGov 2024)
Red lines
- Le pricing dynamique percu comme abus : 68% se sentent leses (Gartner 2024)
- Le prix individualise a partir des donnees personnelles : 47% d'opposition ferme (Consumer Reports 2024)
- Les frais caches et hausses imprevues, vecus par 79% des consommateurs sur un an et associes a la perte de confiance (Gartner 2024)
Sources: Gartner 2024 · YouGov 2024 · Consumer Reports 2024
How to replicate
Inference, not sourcedData prerequisites
- proprietary ad inventory
- attribution and user-value signals
- enough volume to train the bidding models
Org prerequisites
- ad tech team able to operate a DSP, SSP, and mediation
- consent and compliance management
- portfolio large enough for vertical integration
Possible stack
- adtech platform (DSP, SSP, mediation)
- inventory SDK
- bidding and yield ML models
The plan, step by step
- Step 1Measure the cost and margin of the current ad chain, on both the UA and monetization sides.Deliverable: Baseline CPM, CPI, ROAS, and the share of margin captured by each intermediary.
- Step 2Test ML-driven mediation on a share of the inventory.Deliverable: Read on yield and fill rate versus current mediation.
- Step 3Progressively internalize the demand side (DSP) on UA campaigns.Deliverable: UA campaigns run in-house with ROAS compared to external.
- Step 4Consolidate the attribution signals (consent, ATT/SKAN on iOS).Deliverable: More reliable measurement that feeds the bidding models.
- Step 5Decide build versus buy on the full chain.Deliverable: Documented decision: third-party platform, build, or acquisition.
First step: Measure the cost and margin of the current ad chain, then test ML mediation on a share of the inventory before considering vertical integration.
The same pattern, proven in other industries
Airbnb
dynamic price suggestion to sellers (host pricing)
Delta Air Lines
AI dynamic pricing (yield management)
Shopee
AI automation of seller ad campaigns
Sources
- S1 Zynga Closes Acquisition of Chartboost, a Leading Mobile Advertising and Monetization Platform Primary archive pending
- S2 Why Zynga Bought Chartboost, Then Was Bought By Take-Two Established press archive pending
- S3 LoopMe Buys Chartboost From Zynga For Direct Paths Into Mobile Apps Established press archive pending
- S4 Take-Two Interactive Software Inc - Form 8-K (FY2022), consideration Chartboost 234,6 M$ Primary archive pending
An error, newer info, a source?
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