Modelos de atribución y seguimiento de fuentes de instalación

To spend wisely, you must know which channel drove each install. Attribution is the process of crediting installs to the marketing source that caused them.

Without it, you cannot measure ROI or separate organic from paid growth.

Installs fall into broad buckets:

• Organic – from browsing/searching the store directly.
• Paid – from ad campaigns you pay for.
• Owned – from your website, email, or referrals.

Each needs its own measurement approach.

When a user clicks an ad or link, an identifier or referrer string is recorded. On install, the SDK matches the install back to that click.

The simplest model is last-click: credit goes entirely to the last touch before install.

It is easy but ignores earlier influences—an ad that introduced the app gets no credit if the user later installs from search.

Multi-touch models distribute credit across several touchpoints in the journey.

Google Play provides an install referrer string; Apple uses frameworks like SKAdNetwork for privacy-safe attribution.

Campaign URLs carry parameters (UTMs or click IDs) that flow into this matching process.

Privacy changes (like iOS ATT) limit user-level tracking. SKAdNetwork reports aggregated, delayed conversion data instead of per-user attribution.

Modern ASO analytics must work with aggregated, privacy-safe signals.

Paid campaigns often boost organic installs too (more visibility raises store ranking). Crediting only direct paid installs undercounts a campaign true impact.

Measure organic uplift to see the full effect.

If two networks both claim the same install, you overcount and overspend. An MMP (mobile measurement partner) acts as a neutral arbiter to deduplicate claims across networks.

Pick the model that matches the question:

• Optimizing the final push? Last-click works.
• Understanding the full funnel? Use multi-touch.
• Operating under strict privacy? Lean on aggregated models.

Use attribution to shift budget toward sources with the best cost per install and downstream LTV—not just the cheapest clicks.

Good attribution turns spend into a feedback loop.

You learned how installs are credited to channels:

• Distinguish organic, paid, and owned installs.
• Last-click vs multi-touch models split credit differently.
• Privacy (SKAdNetwork) favors aggregated data.
• Watch for organic uplift and avoid double-counting with an MMP.