Meta Ads Case Study: ₹19L Spend and ₹58L Attributed Revenue
My reported Meta Ads results include approximately ₹19 lakh monthly spend and ₹58 lakh monthly attributed revenue, equivalent to about 3.05× ROAS. Lead reporting included approximately 7,000 inquiries and 4,800 qualified leads.
What to do first
Keep spend, platform-attributed revenue and CRM-qualified leads as separate measures with their source systems identified.
Implementation and review
- Review campaign execution alongside creative delivery, landing-page qualification and tracking quality.
- Calculate ROAS as attributed revenue divided by media spend; assess profitability separately using actual costs.
What to watch for
Attributed revenue is not the same as incremental revenue or profit. These account results are not a forecast for a new client.
Acquisition and qualification
The reported lead funnel included approximately 7,000 monthly inquiries and 4,800 qualified leads. Using those rounded figures, the qualified share is about 68.6%. This is a qualification measure; it does not mean 68.6% of inquiries became paying customers. Qualification definitions should be agreed with the admissions or sales team.
Reading the revenue and spend
₹58 lakh divided by ₹19 lakh is approximately 3.05. The result is Meta-attributed ROAS. It does not account for all operating costs, and another advertising platform may also claim credit for some of the same buyers. Compare the platform view with CRM and payment records before presenting unique total revenue.
Creative and execution scope
My account responsibilities included leading Meta execution with two colleagues and coordinating monthly delivery of more than 1,000 ad assets and 300 campaigns. Creative throughput describes the scale of operations. A useful learning process still distinguishes new concepts from edits and tests results against the quality of the leads received.
How to review a similar funnel
Keep campaign source attached to a stable lead record and record the outcome of follow-up. Inspect contactability, qualification and eventual sales by cohort. Use failed and unsuitable leads to improve the offer and sales handover, rather than optimizing solely for a large number of form submissions.
What this case does not establish
The available results do not describe a randomized incrementality experiment, a universal margin or a guaranteed scaling limit. They show the account’s attributed revenue and operational scope. Another business needs its own offer, creative, tracking and economic assessment.
A practical example to work through
A lead report can show inquiry capture, contact outcome and qualification separately from the platform revenue view. Sales staff need to know which stage they own and when an inquiry is closed as unsuitable. Marketing then gets useful feedback on the offer and creative. This is more actionable than explaining every difference between leads and buyers as an advertising-platform problem.
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References and further reading
References explain platform behavior; they are not independent verification of portfolio results. Check current documentation before implementation.
Need help applying this? Explore consulting services or review the project results.
Frequently Asked Questions
What is the first step?
Keep spend, platform-attributed revenue and CRM-qualified leads as separate measures with their source systems identified.
What should I avoid?
Attributed revenue is not the same as incremental revenue or profit. These account results are not a forecast for a new client.
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