Marketing Blueprint
Safety checkedReview Recency Insights
Cut the manual digging time from 15–30 minutes down to seconds by asking a simple question and getting back a complete diagnosis of why a product's recency score lags and exactly how many reviews the team needs by when to hit the next tier. A single 12-month snapshot shows targets, actuals, and the coaching recommendation to close the gap.
1 File Included
review-recency-insights.skill
4 KB
What problem does this solve?
Diagnosing why a product's Pulse Recency Score is low and turning it into a clear "get X reviews by Y month" ask for the CSM/AM/AE currently takes 15–30 minutes of ad-hoc digging across the Pulse Dashboard, Catalyst , review recency reports, or other sources and manual math to figure out how far the account is from the next score tier.
How does it work?
The user drops in a product name, product ID, vendor name, or a casual prompt like "why is X's recency score low." The skill then:
Resolves the product if only a name was given then it analyzes a product’s Pulse & Recency performance, showing current scores, monthly review targets and progress, next-tier requirements, and actionable recommendations. It also Returns one combined 12-month table (Month, Target, Reviews that month, Trailing 3-mo total, Recency Met %, Recency Score, Pulse Score) plus a plain coaching ask as to how to increase the score.
What's the biggest win?
Turns a 15–30 minute manual pull-and-calculate exercise into a 30-second natural-language query, and gives CSMs/AMs/AEs a concrete "collect X reviews in the next Y months" number they can take straight into a customer conversation instead of trying to decode the thresholds for review recency before.
What are the constraints?
Requires the Looker MCP connector enabled with read access
Tools in this Blueprint
About This Blueprint
- Industry
- Information Technology
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