Build Your Own Analytics Stack, or Just Wire Up Three SDKs?
Every mini-game team installs an analytics SDK in the first afternoon. Few ever own their data. The SDKs are fine for "how many installed," but the moment you want to know "which cohort's day-7 retention dropped and why," you are querying three dashboards that do not agree, across an event schema you never designed. The choice is not build versus buy — it is whether you keep renting your questions or you own them. Here is the part that gets skipped in the hurry.
Q: Why don't three SDKs added together equal one data stack?
Because each SDK owns its own schema, its own identity stitching, and its own definition of a "session," and none of them talk to each other without you. Your attribution SDK says 1,200 installs came from Channel A; your product SDK says 900 sessions; your ad SDK says 1,400 conversions. They are not wrong — they are counting different universes with different clocks. Without a single event schema and a stable user ID that survives across all three, you cannot join them, and you cannot answer the only questions that matter: which source's users actually pay. Renting three tools means you can only ask the questions each tool was built to answer, which is never your actual question.
Q: If you build, what's the first step that isn't writing ETL?
Design the event schema before you write a line of pipeline. A warehouse is just a database; the hard part is deciding what a "purchase" event contains, what the stable user_id is, and how you name things so six months from now "level_complete" still means the same thing. Teams that skip this end up with twenty slightly-different "buy" events and a data scientist who quits. The second step is a single ingestion point — one SDK that sends everything to your warehouse, then you decide what to forward to the ad networks. Own the raw events; rent the downstream tools. That order is what lets you ask new questions later instead of begging a vendor for a report.
Q: PII and compliance — how do you not blow this on day one?
Treat the player ID and the player's billing country as radioactive from commit one. The cheap mistake is logging everything "in case we need it," which turns your warehouse into a GDPR/CCPA liability the moment it fills up. The discipline: collect a stable anonymous ID, push PII (email, payment) to the processor only, and keep a data map that says exactly which table holds what and for how long. Delete paths matter more than collection paths — if you cannot prove you can erase a user, you cannot legally keep them in the EU. This is the one area where "we will fix it later" is a fine waiting to happen.
Q: How do you actually decide build versus buy?
Use the ownership test. If your questions are standard — installs, retention, crash-free rate — three SDKs are fine and you should ship. The moment your competitive edge depends on a question only you can ask — "do players who watch the tutorial ad churn slower in Brazil?" — you need that event in your own warehouse. The hybrid that works: own the raw event stream and the user_id, rent the visualization and the attribution APIs on top. The table is the line most teams draw too late.
| If you need… | Approach | Why | The cost |
|---|---|---|---|
| Standard metrics only | 2–3 SDKs | Fast, no pipeline | Can't ask cross-tool questions |
| A question only you ask | Own the event warehouse | You keep the question | ETL + schema maintenance |
| Mixed | Own raw, rent viz | Best of both | Integration discipline |
| EU/CA players | PII-minimal from day 1 | Compliance is not optional | Restraint on logging |
Your data is either an asset you own or a lease you renew. The lease feels cheaper until the question you need isn't in the plan.
