Ad Tech Meets On-Chain: Performance Marketing, Attribution, and Fraud in Web3 Gaming (2025)

The privacy backdrop: cookies stay, mobile measurement changes

Google has scrapped its plan to deprecate third-party cookies in Chrome, pausing years of Privacy Sandbox migrations and buying performance marketers time on the web. Don't confuse “reprieve” with “business as usual,” though-regulators still scrutinize cross-site tracking, and finger-printing remains contentious. [1][6][7]

On iOS, the center of gravity is Apple's AdAttributionKit (AAK)-the successor to SKAdNetwork. Apple Search Ads has registered with AAK, and industry guidance now treats AAK/SKAN as table stakes for compliant installs and re-engagement measurement. Expect new reporting surfaces and campaign schemas to keep rolling out. [2][8][9]

Why it matters for Web3: Your paid UA must land cleanly in privacy-safe frameworks (AAK/SKAN on iOS), then stitch to wallet events on L2s/sidechains. That stitching is the growth unlock.

The new stack: from MMP to wallet-native attribution

The emerging best-of-both world looks like this:

• MMP layer for mobile (e.g., AppsFlyer): run SKAN/AAK-compatible iOS campaigns and standardized Android measurement. Google and AppsFlyer launched an enhanced attribution/ICM solution (open beta) to unify Google Ads attribution across privacy changes-handy for gaming's large YouTube/Google spend. [3][10]

• Wallet-native attribution for on-chain truth: platforms like Spindl link off-chain ad touchpoints to on-chain outcomes (first mint, swap, retention spend), with growing distribution via wallet partnerships. Recent tie-ups (Coinbase Wallet, Bitget Wallet) point to address-based journeys you can finally optimize against. [4][5][11]

Play it together: Treat the MMP as the “install oracle” and the wallet network as the “value oracle.” Optimize creative and bids to the blended KPI (D7/D30 on-chain value, not just installs).

KPIs that actually move revenue

Shift from vanity to value with metrics your team can own:

• D1/D7 wallet connect rate (from app/launcher)

• Time-to-first on-chain action (claim, craft, trade)

• % of paid users with ≥1 economic action (market buy/sell, upgrade)

• Net on-chain revenue / paid user (exclude wash trades)

• Sybil-adjusted ROAS (remove clustered addresses/bots)

Tie these to content cadence (seasons, expansions) so UA ≈ live-ops-and your ad spend rides moments with real sinks and demand.

Fraud reality check: bots, spoofing, and sybils

Fraud is spiking and it's not just fake clicks anymore:

• AI bots are surging: multiple reports show ~300% YoY growth in AI-driven bot traffic distorting analytics and revenue models. If your conversion graph looks “too smooth,” audit it. [12][13]

• Malvertising & spoofed links on X (Twitter) are used to hijack crypto audiences-ads can show a reputable display URL while redirecting to scam sites. Tighten placement controls and pre-bid checks. [14]

• Regulators are fining platforms for crypto-ad breaches, raising the compliance bar for everyone in the funnel. [15]

• Crypto fraud broadly is at record levels; social media-driven scams keep rising. For games running token promos, this risk is adjacent to your UA. [16][17][18]

Sybil defense basics:

Ad budgets leak when one person looks like many wallets. Use layered controls:

Address-graph analytics and anomaly detection to cluster likely sybils before counting value. [19]

Reputation/Passport signals (e.g., Gitcoin/Human Passport) to raise cost of faking uniqueness. [20][21]

Behavioral throttles at mint/claim (latency, velocity, geo/device diversity checks) to blunt farms. Research shows even simple network/latency-based heuristics can help. [22]

Implementation blueprint (battle-tested)

1) Instrument the funnel

Web: keep cookie-based performance running but ban fingerprinting and use server-side tagging with bot filters; document consent UX. [6]

iOS: upgrade to AAK/SKAN-ready SDKs; map conversion values to on-chain-proxied actions (e.g., tutorial → wallet connect → first craft). [2][8][9]

Android/PC: keep deterministic IDs, but normalize events into the same schema you use on iOS so optimization logic stays portable.

2) Stitch off-chain → on-chain

Pass a privacy-safe click/install token into your sign-up flow; on wallet connect, hand off to a wallet-native attribution layer. [4][11]

Define “payable events” (first trade, season pass mint) and optimize campaigns to those, not installs.

3) Harden against fraud

Add pre-bid supply screening (deny-lists, brand safety, cryptoscam domains).

Post-bid: run bot detection and address clustering nightly; suppress suspicious clusters from optimization datasets. [12][19]

Require multi-factor uniqueness (device diversity + reputation stamp) for high-value promos.

4) Prove incrementality

Geo/pricing holdouts on a subset of markets;

PSA/ghost ads for web;

Sequential testing around season drops so you can isolate paid lift from organic hype.

What good looks like (targets to adapt)

• ≥70% D1 tutorial completion, ≥45% D1 wallet connect from paid users

• ≤10% sybil-adjusted CPI inflation (post-filter vs. pre-filter)

• ≥20% of paid users complete first economic action in ≤72h

• D30 ROAS measured on on-chain value (net of sinks), not off-chain IAPs

The bottom line

The winning Web3 UA stack in 2025 blends privacy-compliant mobile attribution with wallet-native value measurement and always-on fraud defense. Do that, and every ad dollar learns from what actually matters: on-chain fun that players choose to pay for.

References

[1] The Verge, “Google is scrapping its planned changes for third-party cookies in Chrome.” The Verge[2] Apple Ads Help, “App ad attribution overview” (AdAttributionKit/SKAN update; Apple Search Ads registered Apr 10, 2025). Apple Ads[3] AppsFlyer Support, “AppsFlyer & Google attribution solution (Open BETA)” (ICM). AppsFlyer Support[4] Spindl, “How to really do onchain attribution” + 2025 network updates (wallet-native ads/attribution). Spindl[5] GlobeNewswire, “Bitget Wallet and Spindl partner to tackle Web3 discovery” (wallet-native attribution pilot). GlobeNewswire[6] Reuters, “Google opts out of standalone prompt; keeps third-party cookies” (regulatory context). Reuters[7] The Guardian (ICO), “UK data regulator criticises Google for fingerprinting risk.” The Guardian[8] PPC Land, “Apple Search Ads to adopt AdAttributionKit (unified app attribution).” PPC Land[9] SplitMetrics, “SKAdNetwork 2025 guide; Apple shifting toward AAK.” SplitMetrics[10] AppsFlyer webinar page, “Maximize iOS attribution with Google & AppsFlyer’s new solution” (2025). AppsFlyer[11] Invezz, “Bitget Wallet partners with Spindl to tackle Web3 discovery challenge” (off-chain to on-chain measurement). Invezz[12] Akamai (via SecurityInfoWatch), “300% surge in AI bot traffic disrupting digital businesses” (2025 SOTI). Security Info Watch[13] TMCnet, “Akamai Research: AI bots threaten web business models” (Digital Fraud & Abuse Report 2025). TMCnet[14] Cybernews, “Crypto scammers abuse X ads with spoofed links.” Cybernews[15] Times of India, “X fined €5M in Spain for breaching crypto-ad rules (CNMV).” The Times of India[16] Reuters, “Crypto scams likely set new record in 2024 helped by AI — Chainalysis.” Reuters[17] Elliptic, “The State of Crypto Scams 2025” (report PDF). Elliptic[18] NASAA via CryptoNews, “Crypto and social media scams top investor threats for 2025.” Cryptonews[19] arXiv, “Detecting Sybil Addresses in Blockchain Airdrops: A Subgraph-based Approach” (2025). arXiv[20] Gitcoin forum, “Sybil resistance strategy for GG20 (Passport model-based detection + COCM).” Gitcoin Governance[21] Human Passport blog, “Defending GG23 with model-based Sybil detection.” Human Passport[22] ScienceDirect, “Web3 Sybil avoidance using network latency” (methodology insight). sciencedirect.com