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Strategy2 min read7 July 2022

What "performance marketing" actually means when your client spends Rs. 50k/month

What "performance marketing" actually means when your client spends Rs. 50k/month

When large agencies talk about performance marketing, they mean attribution models, multi-touch journeys, CPL benchmarks across channels, and audiences built on first-party data. When a client asks us to run "performance marketing" on Rs. 50,000 a month, we are operating in a different world entirely.

That is not a complaint. It is just the reality of the Indian SMB market, and pretending otherwise means selling clients something that does not work at their budget.

What the math looks like

Rs. 50,000 a month is around Rs. 1,600 a day across all platforms. If you split that between Google and Meta, you get Rs. 800 on each. At an average CPC of Rs. 25 to Rs. 40 for most local service categories, that is maybe 20 to 30 clicks per day per platform.

20 to 30 clicks a day is not enough data to optimise a campaign meaningfully. You are essentially running a very slow experiment. The algorithms do not have enough signal. A/B testing becomes nearly impossible because you cannot reach statistical significance in a reasonable timeframe.

So what do you actually do?

How we run small-budget campaigns

First, we pick one channel, not two. Rs. 50,000 on one platform is better than Rs. 25,000 split across two. For most of our B2B clients, that means Google. For D2C and local retail, Meta.

Second, we get narrow. A broad audience on Rs. 1,600 a day is a waste. We define the tightest possible audience -- one city, one job title, one service category -- and spend it all there. Better to dominate a small pond than disappear in a large one.

Third, we set different expectations on what "performance" means. With a large budget, you can measure cost per acquisition with statistical confidence inside 30 days. With Rs. 50k, you are measuring lead quality and call volume directionally. We tell clients this upfront.

Performance marketing at this scale is more manual, more reliant on experience, and less dependent on platform algorithms. That is fine. It just requires a different operating model than the whitepapers describe.

Published 7 July 2022
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