Both products make installs less misleading.
The shared premise is that campaign cost should be compared with paying users, subscription outcomes, revenue, and LTV rather than installs alone.
Alternative guide · reviewed August 2026
Both products address the gap between Apple Ads cost and downstream revenue. AppSkale publicly centers keyword LTV and analytics; Lily connects the revenue view to AI analysis, staged campaign work, and Autopilot.
Shared problem
Keyword revenue
Lily extension
AI operations
Validate
Attribution depth
The shared premise is that campaign cost should be compared with paying users, subscription outcomes, revenue, and LTV rather than installs alone.
Ask questions from ChatGPT or Claude, receive daily insights, prepare campaign changes, and choose approval-first self-serve or scoped Autopilot.
Compare supported sources, backfill, cohort windows, country and keyword detail, data latency, write capabilities, and pricing with your real account.
How it works
Use the same app, Apple Ads account, revenue source, and date range.
Compare spend, customers, revenue, window, and attribution assumptions.
Evaluate how each product helps the team act safely on the finding.
Questions
Yes, when the connected attribution and revenue data supports the campaign and keyword dimensions for the selected app.
No. It summarizes public product positioning as of August 2026. Buyers should verify current features, pricing, and data behavior with each vendor.
Lily can prepare scoped Apple Ads actions for approval and supports separate Autopilot programs with explicit guardrails.