A beat productivity report measures whether a sales route (a beat) is actually worth the visits spent on it -- not just whether an RSO showed up, but how many retailers on that route actually got billed. It's for companies and distributors who plan beats (also called a PJP, Permanent Journey Plan) and want to know which ones are working.
The problem
“The RSO visited every retailer on the beat” and “the beat is productive” are two different claims. A beat with full visit coverage but low billing conversion has a different problem -- and a different fix -- than one with poor visit coverage in the first place. Without separating the two, it's easy to coach the wrong thing.
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Beat productivity
50.0% (15 of 30 retailers billed)
Formula: Productivity % = retailers billed ÷ retailers in the beat × 100. This is exactly the formula WorklikeGenie's beat productivity report uses.
How WorklikeGenie measures it, step by step
- Productivity % = retailers billed ÷ retailers in the beat × 100.
- Throughput per visit = total billed value ÷ number of visits recorded.
- Growth is compared against last month and last year, not just shown as a snapshot.
- Genie flags candidates for: visit frequency that should move up or down based on a retailer's throughput, beats worth splitting into two (high retailer count, high throughput share, with a proposed split by locality where available), and beats that need more retailers added to justify the visits already being spent on them.
What you see in the portal
Example
“MG Road Beat 1” shows 50% productivity (15 of 30 retailers billed), throughput ₹2,400 per visit, down slightly from last month -- flagged as a candidate for a visit-frequency review rather than a beat split, since retailer count is within normal range.
Who it suits
Companies and distributors running a field sales team on fixed routes, especially once there are enough beats that it's no longer obvious at a glance which ones are underperforming.
How this compares with tracking visits in Excel
An Excel-based visit log usually tracks whether a visit happened, not whether it resulted in a bill -- and averaging monthly percentages across a custom date range (a very common Excel habit) quietly distorts the real number, since a low-volume month and a high-volume month get equal weight. WorklikeGenie sums the underlying counts across the range first and derives the percentage once, avoiding that distortion.
See the full beat plan & productivity feature page, the glossary for beat/PJP/RSO definitions, or the beat productivity guide.