Cannot Connect Acquisition to In-Game Spending

You spend $50,000 per month on YouTube ads, Twitter campaigns, and streamer sponsorships to acquire players. But once a player enters your game and starts making on-chain purchases of NFT items, weapons, or land, the attribution trail goes cold. You cannot tell your investors which acquisition channel produces the highest-spending players because the data lives in completely separate systems.

Traditional Analytics Ignore Blockchain Transactions

Tools like Google Analytics, Mixpanel, and Amplitude track page views, button clicks, and in-app events. But they have no concept of wallet connections, on-chain NFT purchases, token transfers, or marketplace transactions. The most valuable player actions in your Web3 game are invisible to traditional analytics platforms. You are measuring half the picture at best.

Session Data and Transaction Data Are Siloed

Your game client tracks session length, levels completed, and matches played. Your blockchain tracks NFT mints, marketplace trades, and token burns. But these two data sets live in completely separate worlds. You cannot answer basic questions like: How many matches does the average player play before making their first NFT purchase? Which in-game moment triggers buying behavior?

LTV Calculations Are Impossible Without Attribution

Lifetime value is the most important metric for any game studio. But in Web3 gaming, player revenue comes from a mix of primary NFT sales, marketplace royalties, and in-game token spending. Without connecting acquisition source to wallet-level revenue across all these channels, you simply cannot calculate LTV by channel and optimize your UA spend accordingly.

Player Acquisition Tracking

AnalyticKit captures every acquisition touchpoint: YouTube ad clicks, Twitter campaign links, streamer referral codes, organic search visits, and app store installs. Each player is tagged with their acquisition source from the very first interaction, and that tag persists through wallet connection and into on-chain activity.

In-Game Transaction Attribution

When a player buys an NFT sword, purchases land, or spends in-game tokens, AnalyticKit attributes that transaction back to the original acquisition source. Your YouTube campaign did not just bring 5,000 players; it brought 5,000 players who generated $23,000 in NFT purchases within their first 30 days.

Session Analytics with On-Chain Context

See session data enriched with blockchain context. Track play sessions, match completions, quest progress, and social interactions alongside NFT purchases, marketplace activity, and token spending. Identify the in-game moments that trigger buying behavior and optimize your game economy accordingly.

Cohort Analysis and LTV Modeling

Group players by acquisition date, source, and behavior patterns. Track cohort retention, engagement, and revenue over time. Calculate true LTV by acquisition channel so you can confidently scale spend on channels that produce high-value players and cut spend on channels that do not.

Cost per Paying Player

Know exactly how much it costs to acquire a player who makes at least one on-chain purchase, broken down by channel. The most important unit economic for sustainable growth.

LTV by Channel

Calculate player lifetime value segmented by acquisition source. YouTube players might have higher LTV than Twitter players. Know the difference and allocate budget accordingly.

Session-to-Transaction

Track the funnel from first session to first on-chain purchase. Identify how many sessions, matches, or hours it takes before players convert, and optimize the experience to shorten that path.

Unified Player Profiles

AnalyticKit creates a single player profile that combines acquisition data, in-game behavior, and on-chain transactions. No more switching between three different analytics dashboards to understand one player.

Real-Time Economy Monitoring

Watch your game economy in real time. See NFT purchase velocity, token flow, marketplace volume, and player spending patterns update live. Detect economic anomalies or exploits as they happen.

Session Replay with Chain Context

Replay player sessions with on-chain events overlaid on the timeline. See exactly what a player was doing in your game right before and after making an NFT purchase. Understand the behavioral triggers that drive revenue.

Studio-Friendly Pricing

Start with Starter at $29/mo during development and soft launch. Move to Growth ($79/mo) for beta and early access phases. Scale to Pro ($199/mo) or Enterprise for full production launches with millions of events. See pricing.

How does AnalyticKit integrate with game clients?

AnalyticKit offers SDKs for JavaScript (web games), Unity (C#), and Unreal Engine (C++). For web-based games, our JavaScript SDK drops into your frontend in minutes. For Unity and Unreal games, our native plugins integrate with your event system. Server-side APIs are available for custom game engines. All SDKs support wallet connection tracking out of the box.

Can AnalyticKit track both free-to-play sessions and paid transactions?

Yes. AnalyticKit tracks the complete player lifecycle from first free session through conversion to paying player and beyond. You can see exactly how many free sessions a player has before their first purchase, what in-game events preceded the purchase, and how spending patterns evolve over time. Free and paid player segments can be analyzed separately or together.

Does AnalyticKit support multiple chains for multi-chain games?

Absolutely. Many Web3 games deploy across multiple chains for different assets or regions. AnalyticKit supports Ethereum, Polygon, Arbitrum, Optimism, Base, BSC, Avalanche, Solana, Immutable X, and more. All chain data feeds into unified player profiles, so cross-chain player activity is tracked seamlessly.

How does session replay work for Web3 games?

AnalyticKit session replay captures the player’s screen interactions in your web-based game client. On-chain events (NFT purchases, token transfers, marketplace interactions) are overlaid on the session timeline as markers. You can watch what a player was doing in your game at the exact moment they decided to make a purchase, helping you understand the behavioral triggers for monetization.

Can I calculate LTV by acquisition channel with AnalyticKit?

Yes, this is one of the core capabilities. AnalyticKit tracks all on-chain revenue (NFT purchases, marketplace royalties, token spending) attributed to each player’s acquisition source. Combined with cohort analysis, you can calculate 7-day, 30-day, 60-day, and 90-day LTV for each acquisition channel and compare it against your cost per acquisition to determine channel profitability.

What AnalyticKit plan is right for a Web3 game studio?

During development and alpha testing, the Starter plan at $29/mo provides everything you need. For soft launch and beta with growing player counts, Growth at $79/mo offers higher event limits and advanced cohort analysis. Pro at $199/mo is designed for live games with significant player bases. Enterprise pricing with dedicated support is available for AAA-scale Web3 games. View full pricing details.