Comparison
ASAPilot vs Kochava
ASAPilot vs Kochava — comparison covering ASA-specific tooling, MMP attribution, and when each tool wins. Updated 2026-05-20.
Best for ASAPilot
- • Teams whose primary job is operating Apple Search Ads
- • Operators who want AI chat for ASA analysis
- • Apps that rely on the Ad Services API for first-party ASA attribution
- • Smaller portfolios (1-20 apps)
Best for Kochava
- • Teams running multi-channel mobile UA across ASA + Meta + Google + TikTok
- • Apps that need fraud detection and traffic verification
- • Larger growth orgs with dedicated attribution infrastructure
- • Server-to-server postback integrations
Feature comparison
| Feature | ASAPilot | Kochava |
|---|---|---|
| Primary purpose | Apple Search Ads operations console | Mobile Measurement Partner (MMP) — cross-channel attribution |
| ASA management dashboard | Yes — native, full-featured | Limited; consumes ASA data, does not manage campaigns |
| Cross-channel attribution | Out of scope (ASA only) | Yes — flagship capability across 100+ networks |
| AI chat | Yes — natural-language ASA analysis | Limited AI features in MMP context |
| SKAdNetwork postback handling | Reads ASA SKAN via Ad Services API integration | Full SKAN postback aggregation across networks |
| Fraud detection | Not in scope — ASA platform is largely fraud-resistant | Yes — Kochava Fraud Console |
| Read-only ASA writes | Yes — explicit approval per recommendation | N/A — does not manage ASA writes directly |
| Setup time | <2 min ASA OAuth | Multi-hour MMP integration (SDK install, postback configuration) |
| Pricing entry | Free + $39/month | Enterprise pricing, quote-based |
| Localized UI | EN / ZH / JA / AR | EN primarily |
TL;DR
ASAPilot and Kochava are not direct competitors. They serve different jobs in the mobile growth stack:
- ASAPilot — Apple Search Ads operations console. Manages campaigns, runs audits, hosts the AI chat for ASA analysis, executes automations.
- Kochava — Mobile Measurement Partner (MMP). Aggregates attribution across 100+ ad networks, handles SKAdNetwork postbacks, provides cross-channel reporting and fraud detection.
If your stack runs across multiple ad channels, you typically use one of each — Kochava for cross-channel attribution, ASAPilot for ASA operations. If you run ASA only, you may not need Kochava at all because the Ad Services API provides first-party ASA attribution without an MMP.
What Kochava does
Kochava is one of the major MMPs in mobile, alongside AppsFlyer, Adjust, Branch, and Singular. Its core capabilities:
- Cross-channel attribution. Determines which ad network gets credit for an install across ASA, Meta Ads, Google Ads, TikTok Ads, and others.
- SKAdNetwork postback aggregation. Receives, decodes, and reports SKAN postbacks from all ad networks.
- Fraud detection. Identifies invalid traffic patterns (click injection, click flooding, device farms).
- Custom event tracking. Joins in-app events to install attribution for LTV analysis.
- Cohort and lookback analysis. Reports on cohort behavior across attribution windows.
Kochava does not directly manage Apple Search Ads campaigns. It consumes ASA data for attribution but does not provide an ASA management dashboard the way ASAPilot does.
What ASAPilot does (recap)
ASAPilot:
- Manages Apple Search Ads operations — campaign/ad group/keyword management.
- Audits ASA accounts — finds waste, anomalies, structural issues.
- Hosts AI chat — natural-language access to ASA data and recommendations.
- Runs automations — daily summaries, CPI alerts, recurring checks.
- Reads attribution via Ad Services API — first-party deterministic ASA attribution.
ASAPilot does not handle multi-channel attribution. If you need cross-channel attribution, you use an MMP alongside ASAPilot.
When you need an MMP (Kochava-class tool)
- You run paid acquisition across multiple ad channels — ASA + Meta + Google + TikTok
- ironSource, etc.
- You need fraud detection on traffic from networks where fraud is common.
- You need SKAdNetwork postback aggregation across all networks in one place.
- You need deep cohort and LTV analysis that joins network data to in-app behavior.
When ASA-only operators don’t need an MMP
- You spend >80% of UA budget on ASA.
- You attribute directly via the Ad Services API from within your app backend.
- You don’t need cross-channel attribution because there is no meaningful “other channel” to compare ASA to.
- Your app is low fraud risk — ASA’s auction structure is largely fraud-resistant.
In this case, ASAPilot + Ad Services API may be your complete attribution + management stack.
How ASAPilot + Kochava work together
When teams run both:
- Kochava ingests ASA campaign data via the ASA API integration.
- Kochava aggregates SKAdNetwork postbacks from ASA and other networks.
- Kochava attributes installs across networks including ASA’s share.
- ASAPilot pulls ASA-specific data from the ASA API for campaign management, auditing, and AI chat.
- ASAPilot can ingest Kochava attribution data via webhook to enrich its findings with cross-channel context.
This pairing is common for mid-to-large growth teams running multi-channel UA.
Feature comparison
| Feature | ASAPilot | Kochava |
|---|---|---|
| ASA campaign management | ✅ | ❌ (consumes ASA data) |
| Cross-channel attribution | ❌ | ✅ Flagship |
| AI chat for ASA | ✅ | Limited |
| SKAdNetwork postback aggregation | Partial (ASA only) | ✅ All networks |
| Fraud detection | ❌ | ✅ |
| Setup time | <2 min | Multi-hour |
| Free plan | ✅ | ❌ |
| Pricing entry | $39/mo | Enterprise quote |
Decision test
- “Do I run paid UA on multiple ad networks?” Yes → You need an MMP (Kochava or similar) in addition to ASA tooling.
- “Do I need an ASA-specific operations console with AI chat?” Yes → ASAPilot.
If both yes, run both. If only ASA, ASAPilot may be enough. See pricing.