145 distributor and retailer leads in three days, from a ₹3,797 Meta test

  • Case study
  • Business
  • FMCG and B2B
  • FMCG spice brand, India

A spice brand's three-day, ₹3,796.64 Meta test found 145 distributor and retailer leads at ₹26.18 each. More than 95% were genuine trade buyers.

An Indian spice brand came to us with a question most consumer brands never ask: can Facebook and Instagram find us trade partners? It did not need more home cooks buying a packet. It needed distributors willing to carry its range and retailers willing to give it shelf space, and it wanted proof that Meta could reach them before it spent serious money.

We answered the question in three days. A short test from 2 to 4 December 2023, on ₹3,796.64 of ad spend, produced 145 trade leads at an average of ₹26.18 each. More than 95% of those leads were genuine distributors and retailers, and the estimated yearly value of the pipeline they opened is more than ₹1 crore.

At a glance

ClientFMCG spice brand, India
IndustryFMCG and B2B
Buyers wantedDistributors and retailers
Period2 to 4 December 2023
PlatformMeta, with instant forms
Ad spend₹3,796.64
People reached21,362 accounts

The client

The client makes and sells spice powders, an everyday FMCG product found in almost every kitchen. In a category like this, any single shopper matters very little. What matters is the shelf. The more distributors carry the range and the more shops stock it, the more packets sell.

That changes who the real customer is. A home cook usually picks from whatever spice brands the local shop has in stock. The shop stocks what its distributor supplies. So the decision that shapes sales is often made a step or two before the shopper walks in, by a business owner weighing up margins, demand and whether a brand is worth the space.

For this campaign, then, the brand was not selling a packet. It was looking for trade partners: distributors who would take on the range, and retailers who would put it on their shelves. A trade buyer does not check out with a basket. They talk to a sales team, ask about terms and decide over a few conversations. A useful lead is a business owner who is open to that conversation.

The challenge

Meta is usually treated as a consumer channel, and with good reason. Its targeting is broad, and it cannot pick out the owner of a distribution business the way a trade directory can. Put a spice ad on Facebook and most of the people who respond will be home cooks. They may like the product, but they are of no use to a sales team looking for trade partners.

That creates two problems. The first is money: every consumer who fills in the form is a lead the brand has paid for and cannot use. The second is time: someone in sales has to call each of those leads, only to learn it is not a business. A campaign can report a low cost per lead and still waste most of its budget and most of the team's week.

The usual way of running lead ads makes this worse. A standard lead campaign is set up to collect as many form fills as possible at the lowest price, and Meta's delivery system becomes very good at finding people who will tap submit. For a food product, those people are mostly consumers. The report looks healthy while the list behind it is close to useless.

So the brand wanted a clear answer to a simple question before putting real budget behind it: can Meta bring genuine trade enquiries at all?

What we did

A small, short test first

Rather than commit a large budget to an unproven channel, we ran a three-day test, from 2 to 4 December 2023, on a budget of ₹3,796.64. The point was speed and clarity. Within a few days the brand would know whether distributors and retailers would respond to it on Meta, and roughly what each enquiry would cost.

Forms that ask before they accept

Meta's instant forms can fill in a person's name and phone number for them. That makes submitting almost effortless, which is good for volume and bad for quality, because people tap through without much thought. We built the forms around qualifying questions instead of one-tap autofill, so that each submission said something about the person's trade, not just their phone number.

In a B2B campaign on a consumer platform, the form is the filter. A question that only a trade buyer can answer sensibly turns casual consumers away before they become a cost to the sales team.

Two campaigns with two jobs

We split the budget across two campaigns, testing different creative angles and audience groups. The first was for discovery: finding the message and the audience that produced genuine trade enquiries. It brought in 41 leads at ₹30.60 each.

The second scaled what the first had found, and brought in 104 leads at ₹24.44 each, the lowest cost in the test. Keeping the two jobs apart kept the learning clean. Money only moved towards an angle once there was evidence that it worked.

Leads checked, not just counted

Finally, the leads were checked against what the brand actually needed. A lead count on its own says nothing about whether those people can be sold to. More than 95% of these leads turned out to be genuine distributors and retailers.

The results

Trade leads145
Average cost per lead₹26.18
Discovery campaign41 leads at ₹30.60 each
Scaling campaign104 leads at ₹24.44 each
Genuine distributors and retailersMore than 95%
Accounts reached21,362
Total ad spend₹3,796.64
Time3 days
Estimated yearly pipelineMore than ₹1 crore

In plain terms: for less than ₹4,000 and three days of advertising, the brand found 145 businesses interested in stocking its products, and its sales team could trust that almost all of them were real. The ads reached 21,362 accounts, a modest audience, so the result came from filtering well rather than from sheer volume. The estimated yearly value of that pipeline is more than ₹1 crore.

Why it worked

The test was small and short. The question "does Meta work for us?" was settled in three days for under ₹4,000, not after months of spend.

The form did the filtering. Dropping one-tap autofill cost some easy leads. The leads that did come through were businesses, and businesses were what the sales team needed.

Scaling followed proof. The second campaign only scaled what the first had shown to work. The budget moved to the stronger angle, which is why the cost per lead fell from ₹30.60 to ₹24.44.

A few extra questions lose some leads and save the sales team from chasing the wrong ones.

How to apply this to your business

  • Write down exactly which kind of business you need to hear from before you write a single ad.
  • Add qualifying questions to your lead form that only a real trade buyer would answer properly, and avoid one-tap autofill.
  • Start with a small, time-boxed test, so you learn whether the channel works before you commit a real budget.
  • Run a discovery campaign to find the message that works, then move money to a separate campaign that scales it.
  • Check every lead against your criteria and track the share that are genuine, not only the cost per lead.
  • Ask your sales team to call new trade leads quickly, while the interest is still fresh.

Questions business owners ask

Can Facebook ads find distributors for an FMCG brand?

Yes, if the campaign is built for trade buyers rather than shoppers. In this case a three-day Meta test brought in 145 trade leads, and more than 95% were genuine distributors and retailers. Targeting alone cannot do this. The form questions and the way the budget is split do most of the work.

How much should a brand spend to test Meta for B2B leads?

Enough to get a clear answer, and no more until you have one. This brand spent ₹3,796.64 over three days and came away with real cost figures to plan from. The same small-budget thinking helped an Indian startup start conversations with angel investors on Meta.

Should I turn off autofill on Meta lead forms?

For a consumer offer, autofill can be fine, because volume matters. For B2B, it tends to let in too many people who tap without thinking. Replacing it with qualifying questions will cut the number of leads, but the ones you keep are far more likely to be worth a call.

How do I know if B2B leads from Meta are genuine?

Check them. Compare each lead with what your sales team needs, such as the type of business and whether they buy to resell, and record the share that pass. Here, more than 95% were genuine distributors and retailers. That share matters more than the cost per lead, because a cheap lead you cannot sell to is worth nothing.

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