A practical workspace for finding and fixing the gaps between discovery, store conversion, installation, and activation. Use it to produce a prioritized audit and experiments your team can implement.

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On the call you'll receive:

• Viral-reach gap analysis for your product
• Creator-led formats already working in your niche
• Estimated install / brand-lift potential at scale </aside>

1. Define the outcome before opening the dashboard

An install is the beginning of the product journey. Choose a first-value event that reflects the customer's actual job: a workout saved, a project created, a useful report generated, or a first lesson completed. Record the event's completion condition and the time window in which new users should reach it.

Keep four questions separate:

• Discovery: Are relevant people finding the product?
• Store conversion: Does the product page turn the right visitors into installers?
• First session: Can a new user reach the promised value?
• Downstream quality: Do activated users return and become valuable customers?

A low CPI can coexist with poor growth if acquired users never reach value. A higher CPI can be healthy when the cohort activates, returns, and contributes more revenue after costs.

2. Create the workspace

Create five files: Product Brief, Discovery Log, Funnel Data, Journey Review, and Experiment Register. Add the current store page, screenshots, acquisition creatives, and a recording of a clean first session on each supported platform.

Product Brief

App:
Primary customer and job:
Most common trigger for looking for the app:
Current alternatives:
Main acquisition promise:
Core product capability:
First-value event and time window:
Paid value and offer:
Platforms, locales, and device requirements:
Available proof:
Known product limitations:
Owner and review date:

Discovery Log

entry_id,date,platform,locale,source,query_or_message,user_intent,destination,product_fit,evidence,next_action
D001,2026-10-01,iOS,en,store search,quick home workout,finish a short workout,main store page,high,review and query export,align opening screenshot with short sessions

Funnel Data

cohort_start,cohort_end,platform,locale,channel,creative_id,spend,store_visitors,installs,first_sessions,activated_users,week_4_active_users,day_30_payers
2026-08-01,2026-08-07,iOS,en,creator,C01,2000,5000,1500,1350,540,180,45

Use unique users at every step. Keep observation windows consistent. Record missing metrics as blank rather than zero. If the store and analytics systems count differently, preserve both definitions and reconcile them before combining conversion rates.

Journey Review