Zomato: Promoters Spend 39% More, and Detractors Are the Leak

At a glance

• Across six months of Zomato customer data, promoters carried an average order value 39 percent higher than detractors.
• The gap is in basket size, not in how often people order. Directionally, promoters and passives reordered at a similar frequency; only detractors ordered less often.
• Exact reorder rates are held under client confidentiality, so that parity is reported as a direction of travel, not a published number.
• Detractors lose on both counts, smaller orders and fewer of them, which makes preventing detractors the whole commercial argument.

The question everyone asks

Most NPS programmes rest on an unstated assumption: that satisfaction and revenue move together in a smooth line, so every customer nudged up the scale is worth incrementally more.

It is an appealing model and it justifies a great deal of marketing spend. It is also testable, and few companies test it.

Zomato had the data to. Six months of customer records, spend behaviour and reorder frequency, matched against how customers rated their overall delivery experience.

What the data showed

Start with the number that is not in dispute.

Promoters had an average order value 39 percent higher than detractors. A promoter's basket was worth 39 percent more than a detractor's, on the same six months of records, classified on the overall delivery experience. That is a hard, quantified gap between the top and bottom of the scale, and it is the spine of the whole case.

The obvious reading is that promoters are worth more because they come back more. The data does not support that reading.

Reorder frequency told a different story. Directionally, promoters and passives reordered at a similar rate. Detractors were the group that ordered less often. The exact reorder rates sit under client confidentiality and are not published here, but the direction is clear enough to build on: the 39 percent advantage is a basket-size effect, not a frequency effect.

Passives reordered about as often as promoters. Every rupee spent converting a passive into a promoter bought no additional reorder behaviour, because the behaviour was already there.

Why that matters

The two findings only look contradictory until you separate what a customer spends per order from how often they order.

Those are different behaviours and they do not move together. The 39 percent is an average order value gap, so promoters are placing bigger orders, not more of them. Passives return at much the same rate as promoters. Detractors are the only group that both orders less often and spends less when they do.

That produces a three-part picture, and each part points somewhere different:

• Promoters are worth more per transaction. Worth cultivating for basket size, not for frequency, because the frequency edge is not there to win.
• Passives behave loyally, whatever they say on a survey. The standard advice to convert them is, on this data, spending against a problem that does not exist.
• Detractors decline on both dimensions at once. Smaller orders and fewer of them. That compounding is why the leak is concentrated here rather than spread evenly across the scale.

What this changes operationally

If the value is concentrated in preventing detractors rather than manufacturing promoters, the whole programme inverts.

Converting passives is a campaign problem. You segment, you message, you offer, and you measure uplift. It is what most CX and CRM teams are staffed and budgeted to do.

Preventing detractors is a prediction problem. You cannot campaign your way out of it, because by the time someone has answered a survey as a detractor the bad experience already happened. The work has to move upstream: identify the signals that precede a poor delivery experience, and intervene before it completes.

That is a different capability, and it is the one Numr is built around.

Everyone is trying to make passives into promoters. This data says passives were never the problem. The money walks out through detractors, and by the time you have surveyed them it is already gone.

Amitayu Basu, CEO and Co-founder, Numr

The same pattern elsewhere

This is not confined to food delivery. In a separate engagement with an Indian insurer, customers who contacted the call centre churned at 16 percent against a 5 percent baseline, and inside that group promoters churned at 11 percent while non-promoters churned at 19 percent.

Different industry, different metric, same shape. The downside is consistently larger than the upside. In both cases the commercially significant movement is at the bottom of the scale, not the top.

What to test in your own data

The analysis is not complicated and most companies already hold the inputs:

1. Split customers into promoters, passives and detractors on a relationship-level measure rather than a single touchpoint.
2. Compare frequency and value separately, not blended into one revenue number. Blending them hides exactly this effect. A 39 percent value gap with flat frequency is a very different brief from a 39 percent gap driven by repeat orders.
3. Check whether your passives behave like your promoters. If they do, any budget aimed at converting them needs rejustifying.

The question is not whether satisfied customers are worth more. They are, and at Zomato the number was 39 percent. The question is which part of the scale your money is actually leaking through.