Our performance marketing is powered by real operational data from the internal systems we build. That means every decision about where to spend, what to scale, and when to stop is based on what actually happens inside your business.
Most performance marketing agencies follow a consistent playbook. Set up ad accounts. Create campaigns. Optimise for platform metrics: clicks, impressions, cost per click, cost per lead. Send monthly reports showing they generated a certain number of leads at a certain cost.
On the surface, this looks productive. The numbers are going up. Leads are coming in. The agency is doing its job.
But here is the question nobody asks loudly enough:
What happened to those leads?
How many of the 200 leads from last month's campaign actually became customers? What revenue did they generate? What did it cost operationally to serve them? Were they the right customers for your business?
Most agencies cannot answer these questions because they have no access to the information. Their visibility ends at the point of lead submission. Everything that happens after, the follow-up, the quoting, the order, the fulfilment, is invisible to them.
This structural blindness means they are optimising for the wrong outcomes.
When marketing can see what operations sees, everything changes.
Because we build the internal systems that track your operations, our marketing practice has access to data that no external agency ever would.
Standard agency sees
We see
Form submission rates
Actual sales conversion rates
Tracked from lead to closed deal.
Estimated average order values
Real customer values by channel
Actual revenue per customer, broken down by acquisition channel.
Abstract headcounts
Operational capacity in real time
Real production throughput, fulfilment timelines, and service capacity.
Which segments click on ads
Which segments are profitable to serve
Which ones generate margin after accounting for fulfilment costs and complexity.
This data changes every decision we make in the marketing practice. It changes what we target, how much we spend, when we scale, and when we deliberately hold back.
Before increasing ad spend, we check operational capacity. If your fulfilment team is at 90% utilisation, scaling lead generation degrades customer experience. We scale when the business can absorb growth, not when the ad platform suggests it.
When we can see which customer segments generate the highest lifetime value and the lowest operational complexity, we build campaigns that specifically attract those segments. Targeting based on observed business outcomes, not demographic assumptions.
Our marketing reports do not stop at lead count and cost per lead. They continue through the funnel: leads to qualified conversations, conversations to quotes, quotes to orders, orders to revenue. Full-funnel visibility, always.
By connecting ad spend to actual business outcomes, we identify and eliminate spend that looks productive on the platform but produces nothing useful. This often means reallocating significant budget from campaigns that generate volume to campaigns that generate value.
Scaling a business is inherently risky. Our approach reduces that risk by ensuring growth decisions are based on operational reality, not marketing metrics alone. When we recommend increasing investment, the data supports it across both marketing and operations.
Our performance marketing practice covers the channels that matter for businesses in the ₹5–50 crore range:
Campaign strategy, creative direction, audience development, and ongoing optimisation across Facebook and Instagram. Every campaign decision is informed by operational data about which customer segments are most valuable.
Search, display, and remarketing campaigns designed around real conversion data. We bid on keywords and audiences that we know lead to profitable customers, not just clicks.
Purpose-built pages designed to convert specific audiences. We test and iterate based on what actually converts to real business, not just form submissions.
Structured remarketing that follows up with prospects at the right stage of their decision process. Informed by internal system data about typical sales cycles and conversion patterns.
Systems that score and route inbound leads based on criteria derived from your operational data. High-value leads get fast attention. Low-quality leads get filtered early, before they consume sales resources.
If you are spending money on marketing and cannot tell us exactly how that spend translates to real revenue, there is a better way. Let us show you what data-informed marketing looks like.
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