Google Looker Reporting

Pinpoint Exactly Where Your Onboarding Funnel Breaks Each Week

Use the Google Looker Reporting agent to retrieve Week-over-Week onboarding funnel data and identify drop-off stages before they become costly problems.

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Painpoint

Product managers struggle to quickly identify which stage of the onboarding funnel is causing user drop-off, often spending days manually pulling and comparing data before they can act.

Autohive solution

The Google Looker Reporting agent retrieves Week-over-Week conversion rates at every funnel stage instantly, so teams can pinpoint problems in minutes and implement fixes within days.

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The Challenge

When user signups start declining, the clock is ticking. Every day spent manually logging into Looker, navigating dashboards, and stitching together funnel data is a day where the drop-off problem compounds. Product managers face three critical pain points:

  • Slow diagnosis: Manually extracting funnel data from Looker can take hours or days, delaying targeted fixes.
  • Stage ambiguity: Without structured, comparable data, it’s hard to tell whether drop-off is happening at email verification, profile completion, or product walkthrough.
  • Inconsistent baselines: Ad hoc data pulls often use different filters or date ranges, making Week-over-Week comparisons unreliable.

The Autohive Solution

The Google Looker Reporting agent eliminates the manual work entirely. Simply request Week-over-Week funnel data, and the agent executes the necessary LookML and SQL queries against your Looker instance, returning structured conversion rates at each onboarding stage.

Instant Funnel Stage Breakdown

The agent retrieves conversion rates for every step in your onboarding funnel — from initial signup through account activation — in a single request. No dashboard navigation, no manual exports.

Week-over-Week Comparisons Built In

By specifying a Week-over-Week timeframe, you get immediately comparable data. Drops at any specific stage are highlighted by the contrast between current and previous week numbers.

Structured, Actionable Output

Results come back as structured data ready for analysis. Whether the issue is in email verification, profile completion, or product walkthrough, the data makes the answer clear so your team can act immediately.

Benefits

  • Faster diagnosis — Reduce time-to-insight from days to minutes by eliminating manual Looker navigation
  • Stage-level precision — Identify exactly which funnel step is underperforming rather than guessing
  • Reliable comparisons — Consistent query execution ensures Week-over-Week data uses the same logic every time
  • Faster fixes — With clear data in hand, teams can implement targeted improvements within days, not weeks
  • Reduced analyst burden — Free data analysts from repetitive extraction tasks so they focus on interpretation

How It Works

  1. Request funnel data — Ask the agent for Week-over-Week onboarding funnel metrics for your desired date range
  2. Agent executes queries — The agent runs LookML and SQL queries directly against your Looker instance
  3. Receive structured results — Conversion rates at each funnel stage are returned in a clear, structured format
  4. Identify drop-off stages — Compare current vs. previous week numbers to pinpoint where users are dropping off
  5. Act on the data — Take the structured results directly to your engineering or product team with a clear problem statement

Getting Started

  1. Sign up at app.autohive.com
  2. Connect Google Looker Reporting from the Autohive marketplace
  3. Configure your Looker instance credentials
  4. Request your first Week-over-Week onboarding funnel report
  5. Deploy automated weekly monitoring to stay ahead of future drop-offs
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