← All Growth Stories/Case Study · BFSI · Performance Marketing

Aditya Birla. Two products. One performance marketing strategy.

BFSI · Instant Loan · NPS · IndiaGoogle Search · Meta Ads · PMax4 months↗ Scaled
Campaign Results
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3.92x
ROAS Delivered
$95.84K
Revenue Generated
$24.41K
Ad Spend Managed
#1
Ranking on Competitor Keywords
Platforms used in this campaign
Google SearchGoogle PMaxMeta AdsGoogle SearchGoogle PMaxMeta AdsGoogle SearchGoogle PMaxMeta AdsGoogle SearchGoogle PMaxMeta Ads
01 · The Situation

Two products. Two distinct objectives.

Aditya Birla came with two distinct objectives across two financial products. For Instant Loan, the goal was straightforward performance marketing, increase disbursements and drive qualified loan applicants at an efficient CPL. There was no specific problem to fix; they wanted a performance marketing operation that would consistently generate results. For NPS, the product was being introduced to a new audience. The challenge was building awareness around a category many consumers were unfamiliar with while simultaneously driving conversions among high-intent buyers.

02 · The Strategy

Two campaigns. Different objectives. Shared discipline.

Two campaigns ran with different objectives. Instant Loan campaigns optimised for disbursement-intent leads using Google Search to capture people actively searching for personal loan options. NPS campaigns combined awareness objectives for the new product introduction with conversion campaigns for high-intent buyers. Competitor conquesting on Google Search placed Aditya Birla NPS directly in front of users researching alternatives. Meta first-party disbursement data was used to build lookalike audiences for Instant Loan, modelling from existing approved applicants.

03 · The Execution

Every rupee against a verified break-even.

Google Performance Max layered on top of Search to capture untapped demand across YouTube and Gmail. Every rupee deployed was mathematically calculated against a verified break-even threshold before launch. No budget went live without a profitability justification.

04 · The Results

3.92x ROAS. $95.84K returned on $24.41K spent.

Metric
Result
Total Ad Spend Managed
$24.41K
Total Attributed Revenue
$95.84K
ROAS
3.92x
Ranking on Competitor Keywords
#1
Products Covered
Instant Loan and NPS
05 · Key Insights

The strategic takeaways.

01

What I learned

In high-consideration financial categories, the buyer has already made 80% of their decision before clicking an ad. The campaign's job is to be present at that exact moment, not to persuade from scratch. Competitor conquesting works precisely because it intercepts an already-active decision.

02

What surprised me

The first-party data model outperformed interest-based targeting by a significant margin from week one. When you model from real disbursed customers, the algorithm finds more of them faster.

03

What I'd do differently

Implement brand recall tracking from day one rather than adding it mid-campaign. The 25% uplift was likely higher, we just couldn't measure the full baseline accurately.

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