FMCG pricing has traditionally been based on sales history, negotiations with retailers, and occasional field observations. However, the proliferation of e-commerce data has opened a new window directly into market pricing conditions, and a growing number of FMCG suppliers are leveraging this information strategically. This is not about analyzing e-commerce business performance, but rather about the fact that online prices reflect the actual pricing situation in physical stores, making them a valuable tool for understanding the entire retail landscape.
In this article, we walk through what FMCG pricing insights can be drawn from e-commerce data, how to interpret price signals correctly, and how to translate that knowledge into action for field sales representatives.
E-commerce as a pricing data source for traditional suppliers
The online stores of major Finnish retail chains, such as Kesko and S-ryhmä, update their prices in virtually real time. This means a supplier can monitor daily at what price its products and competitors’ products are being sold across all chains and stores, without requiring a physical store visit. Online prices reflect the pricing situation in brick-and-mortar stores.
Traditional price monitoring has been slow and unsystematic. Field sales teams may have recorded observations during their visits, but a comprehensive picture has been lacking. Daily e-commerce data fills this gap by providing a continuous, comparable stream of pricing information across all chains, making it a practical and cost-effective market data source for suppliers.
What pricing signals reveal about the competitive landscape
Price changes do not happen in a vacuum. When a competitor lowers its price in a specific chain, it may indicate a promotion, oversupply, a new product launch, or an effort to grow market share. Regular price monitoring helps distinguish short-term promotional prices from permanent price level changes.
Particularly revealing are situations where a competitor’s price drops across multiple chains simultaneously. This may point to a coordinated strategic decision, to which a supplier should respond thoughtfully. Similarly, monitoring price changes for one’s own products across different chains reveals whether chains are adhering to agreed pricing or whether there are deviations that require action.
Combining POS data and online prices in practice
E-commerce data tells you at what price a product is available. POS data, in turn, tells you how much of the product is actually being sold and at what price point. Combining these two data sources is where pricing analysis truly becomes action-driving.
A practical example: if a supplier notices from e-commerce data that a competitor’s price has dropped in a specific chain, but the supplier’s own POS sales have not declined in that same chain, the price reduction has not yet affected consumer purchasing behavior. If, on the other hand, POS sales have clearly weakened, the situation calls for a faster response. FieldForce’s eForce service enables exactly this combination, where delivery data and store-level sales data meet in a unified view.
This integrated approach removes guesswork from pricing decisions and replaces it with concrete market data that reflects the real situation at the store level.
Bringing pricing decisions to field sales representatives
Information is worthless if it stays on the office analyst’s computer. The competitive advantage for an FMCG supplier comes from having field sales representatives equipped with up-to-date information during store visits, enabling them to engage in relevant, fact-based conversations with a chain buyer or store manager.
When a representative knows in advance that a competitor’s product is on promotional pricing at a particular store or chain, they can prepare responses and proactively suggest actions, such as strengthening shelf presence or running a short-term promotion. This transforms the nature of the sales visit from a situation check into strategic influence. Modern field sales tools, such as FieldForce ONE, make it possible to deliver this information directly to the representative’s interface on a store-by-store basis.
The most common pitfalls in interpreting e-commerce data
E-commerce data is useful, but there are a few pitfalls in its interpretation that can be misleading. The first is confusing promotional prices with regular prices. A short-term promotional price can look like a dramatic price drop, even though the product returns to its regular price a week later. Without a historical reference point, such an observation can trigger unnecessary actions.
A second common mistake is generalizing a single chain’s situation to the entire market. A price change in one chain may be due to that chain’s own strategy, local overstock, or a negotiation dynamic, and it does not necessarily reflect the overall direction of the competitive landscape. This is why daily monitoring across all chains and all stores provides a considerably more reliable picture than individual spot observations.
A third pitfall is collecting data without a clear question in mind. A great deal of pricing data can accumulate, but if no one has defined in advance what questions need to be answered, the data goes unused. Effective price monitoring starts with a business question, not with data.
Toward a proactive pricing strategy with market data
Reactive pricing—responding to competitors’ moves after the fact—is increasingly insufficient in a market where price changes occur daily. A proactive pricing strategy means a supplier has a continuous view of market conditions and the ability to identify emerging trends before they impact their own sales.
This requires three things: regular and comprehensive price monitoring across all chains, combining that information with POS data, and clear processes through which information translates into action both in the office and in the field. When these pieces are in place, an FMCG supplier moves from guesswork to data-driven decision-making in pricing.
Market data is practically available to every supplier, but the competitive advantage comes from who can leverage it fastest and most systematically. Suppliers who build data-driven pricing processes today will be better positioned to respond to tomorrow’s market changes.