Field Visit Frequency and FMCG Revenue: What the Correlation Data Shows

Field visits generate revenue through four direct mechanisms. First, they trigger replenishment orders: a field representative who observes low stock can initiate a replenishment before the shelf goes empty. Second, they maintain shelf standards: position erosion and facing count reduction are corrected during visits rather than persisting for weeks. Third, they resolve account management issues: pricing discrepancies and documentation problems are addressed in person. Fourth, they produce data that enables better planning: brands with weekly visit data know which accounts need attention and where to invest.

These figures come from DALA's account data comparing store performance before and after moving to higher field visit frequency. They are consistent with global FMCG literature on the value of field activation: McKinsey analysis across emerging markets found that increasing visit frequency from monthly to weekly generates a 30–50% average revenue uplift per account.

A field representative covering 20 Lagos stores on a weekly basis can realistically service 15–20 stores per week. For a brand with 100 store accounts, that requires 5–7 full-time field representatives. At Lagos market salaries and on-costs, 5–7 field representatives cost approximately ₦8M–₦14M per year in direct employment costs alone, before vehicle expenses, logistics, and management overhead.

That burden is viable for large-volume brands but not for brands in the ₦50M–₦500M annual revenue range, which constitutes the majority of Nigerian FMCG growth companies. Shared-field models, where the cost of field management is spread across multiple brands served simultaneously by the same representative in the same stores, make weekly visit frequency commercially accessible at lower revenue scales. This is what DALA's field execution model provides.

A field visit report from a DALA store visit captures: facing count per SKU at the agreed shelf position, current stock level versus the reorder threshold, any pricing deviations from the agreed retail price, competitor activity in the same category, display compliance if the brand has a secondary display in the store, and any issues raised by the store manager.

This data, aggregated across the weekly visit cycle for all stores in the portfolio, generates the brand's account performance dashboard. Brands can see which stores are below reorder threshold, which have pricing discrepancies, and which are facing competitor pressure, all from a single weekly data pull rather than discovering these issues months later during a quarterly review.