The paints category has a structural leakage problem that is more acute than most other home improvement segments. The combination of high dealer margins on alternative brands, low customer brand loyalty at the point of decision, and the influential role of the painter or contractor in the recommendation chain creates conditions where brand demand routinely converts into competitor sales without the brand ever detecting it.
The painter influence problem
In the Indian paints market, the final purchase decision is frequently made or strongly influenced by the painter or contractor rather than the end customer. A homeowner who has researched and specified a premium brand often defers to their painter’s recommendation at the point of purchase. The painter’s recommendation is driven by their own economics: which brand gives them the best dealer rebate and which brand causes them the fewest application problems.
A brand that does not monitor whether painters are recommending their products at the dealer counter is operating blind in the most consequential part of the purchase chain.
Tinting centre dynamics
Paint brands in the premium and mid-premium segments increasingly rely on in-store tinting centres at dealer locations. The tinting centre is a significant brand presence investment. It is also a potential leakage point if the dealer operates tinting centres for multiple brands and directs customers based on margin rather than customer preference.
See how this looks across your dealer network. The 30-day diagnostic pilot maps these patterns across 20 to 40 of your locations.
What reviews reveal in paints
Google reviews for paints dealer locations contain a specific type of signal that brands rarely read systematically: mentions of colour matching failures, application quality issues, and dealer recommendations that produced unexpected results. These reviews, read at scale across a dealer network, can identify locations where product knowledge or application advice is consistently poor.
A brand investing in dealer training can prioritise that investment using review signal data. Locations generating the most product-related complaints get training first. This is more precise than blanket training programmes.
The detection gap
Counter substitution in paints is particularly hard to detect because the product category has low brand identification post-purchase. A customer who bought a different brand than intended may not even realise it until they need to reorder and cannot match the colour. By that point, the brand has lost not just one sale but a repeat customer relationship.