Most Indian field operations teams track the wrong metrics. They measure activity (calls made, kilometres travelled, hours logged) instead of productivity (quality calls per day, outlets covered vs. target) and output (orders booked) instead of outcomes (secondary sales lift, beat compliance over 90 days).
The result is a monthly MIS review where everyone looks busy and nothing actually changes.
Here are the 12 KPIs that actually predict field performance — organized by the operational level they are designed to answer.
Level 1: Executive-level KPIs (what the field executive and their TSM track daily)
1. Productive Call Rate (PCR)
Definition: Percentage of outlet visits where a productive interaction occurred (order booked, new listing, display placed, complaint resolved) vs. total outlet visits in the day.
Target benchmark: 65–75% for FMCG GT, 80%+ for pharma MR teams
Why it matters: Total calls made is a vanity metric. An executive making 40 calls with 20 productive interactions is outperforming an executive making 50 calls with 15 productive ones. PCR is the quality filter on top of raw call count.
How to track: Every outlet visit should have a call outcome dropdown: Order Booked / No Order — Outlet Closed / No Order — Low Stock / No Order — Competitive / Productive — Display Placed / Other. PCR is calculated automatically from these entries.
2. Beat Compliance Score (BCS)
Definition: Percentage of planned outlets visited on their scheduled day, across all executives in the period.
Target benchmark: 85%+ weekly BCS for FMCG; 90%+ for pharma where doctor availability drives visit windows
Why it matters: Beat compliance is the most leading indicator of future secondary sales performance. If outlets are not being visited on schedule, orders are not being taken, and secondary sales will drop in the following 2–3 weeks.
The trap: Looking at aggregate BCS hides executive-level variation. A team BCS of 82% might mean 10 executives at 95% and 2 executives at 40%. The 40% executives are the problem — and aggregate reporting hides them.
3. Lines per Call (LPC)
Definition: Average number of distinct SKUs ordered per productive outlet visit.
Target benchmark: Highly category-dependent; benchmark against your own 90-day average as a baseline
Why it matters: LPC measures portfolio width. An executive with high call count and low LPC is visiting outlets but not selling the full range — often because they focus on the fast-moving SKUs and ignore the portfolio. LPC growth is a training and incentive design lever, not a call volume lever.
4. New Outlet Addition Rate
Definition: Number of new outlets added to beat plan vs. territory potential per month
Target benchmark: 3–5% new outlet additions per month for an expanding FMCG brand in underpenetrated geographies
Why it matters: Beat compliance measures how well you are covering existing outlets. New outlet additions measure how much the territory is growing. Both are necessary — a team with 95% BCS and 0% new outlet additions is optimizing for coverage at the expense of expansion.
Level 2: TSM/ASM-level KPIs (what the first-line manager tracks weekly)
5. Secondary Sales vs. Primary Sales Ratio (PSR ratio)
Definition: For each distributor, the ratio of secondary sales (distributor to retailer) vs. primary sales (company to distributor) in the month.
Target benchmark: PSR ratio of 0.85–1.05; below 0.8 suggests loading risk, above 1.1 suggests data error or stock draw-down
Why it matters: This is the single most important indicator of distribution health. A PSR ratio above 1.05 consistently is the early warning sign of a secondary sales reporting issue. A PSR ratio below 0.8 means you are filling the distributor's warehouse without moving goods to retail — building up inventory that will eventually cause a demand correction.
6. SKU Coverage Ratio
Definition: Percentage of SKUs in a category available in outlets vs. total addressable SKUs, measured per territory.
Target benchmark: Category-dependent; typically 70–85% for core SKUs in FMCG
Why it matters: Coverage ratio drives secondary sales more directly than call frequency in many categories. An outlet that does not stock a SKU cannot generate secondary sales for it, regardless of how often it is visited.
7. Outlet Call Frequency vs. Grading
Definition: Whether A, B, and C outlets are being visited at the frequency prescribed by their grading (A = weekly, B = fortnightly, C = monthly, for most FMCG categories)
Why it matters: Field executives tend to over-visit easy-access outlets and under-visit difficult or low-converting ones. Frequency vs. grading analysis surfaces systematic coverage gaps that aggregate call count hides.
8. Attendance Rate and On-time Start
Definition: Percentage of days with verified field check-in; percentage of days where check-in occurs within 30 minutes of planned start time
Target benchmark: 95%+ attendance rate; 90%+ on-time start
Why it matters: On-time start is a stronger predictor of productive call count than attendance alone. Executives who start late rarely recover enough calls to hit their daily plan — but their attendance may be marked as present.
Level 3: ZSM/NSM-level KPIs (what the senior leadership tracks monthly)
9. 90-Day Beat Compliance Trend
Definition: BCS over rolling 90-day window, by zone and area
Why it matters: A single week of low BCS is not meaningful. A 90-day declining trend by zone is a structural problem. Trend analysis separates noise from signal.
10. Revenue per Field Executive per Month
Definition: Total secondary sales attributed to territory divided by number of active field executives in that territory, per month
Target benchmark: Internal benchmark — measure progress vs. your own historical average and vs. comparable territories
Why it matters: Revenue per FE is the composite output of beat compliance, productive call rate, LPC, and outlet coverage. It is the lagging indicator that confirms whether the leading indicators are working.
11. Distributor Health Score
Definition: Composite score per distributor including: PSR ratio, last PSR data sync age, outstanding claims, coverage vs. target, and stock returns rate
Why it matters: Distributors are not equal. A distributor health score that aggregates the above factors lets the NSM see which distributors are healthy, which are at risk, and which need intervention — without reviewing each distributor's data manually.
12. Cost per Productive Call
Definition: Total field force operating cost (executive salaries, travel, device, supervisory overhead) divided by total productive calls in the period
Target benchmark: Decreasing over time as productivity improves; useful for headcount planning and territory ROI analysis
Why it matters: This is the ultimate efficiency metric. You can have a highly active field force that is expensive per productive interaction, or a smaller team with excellent PCR, beat compliance, and LPC that generates the same secondary sales output at lower cost per call.
Building a field MIS that drives decisions
The 12 metrics above are only useful if they reach the right person at the right time in the right format.
For field executives: Daily performance vs. plan on their phone. Calls completed, productive call rate, orders vs. target. Simple, mobile-first, no login required for viewing their own metrics.
For TSMs and ASMs: Weekly beat compliance and productive call rate by executive, flagged outliers (executives below threshold), and secondary sales vs. target by distributor. WhatsApp-ready digest, not a portal login.
For ZSMs and NSMs: Monthly trend analysis, 90-day BCS, revenue per FE by zone, and distributor health scores. Dashboard with drill-down, exportable for board presentations.
The MIS that gets used is the one that delivers the right level of information to each role automatically — not the one that requires 4 hours of Excel work every Monday morning.
Where Kinematic Field Force fits
Kinematic Field Force calculates all 12 of the above KPIs from field data automatically — no manual export, no Excel reconciliation. Exception-based alerts notify ASMs when executives fall below thresholds. WhatsApp digests deliver the summary to ZSMs daily. The Supply Chain module adds PSR ratio and distributor health score for FMCG operations.
If you want to see what your current field data would look like inside Kinematic's reporting layer, book a demo — we can often import and show your own data within 24 hours.
Field Force · Lead Management · Supply Chain — one mobile-first platform, live in 48 hours.
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