Summary

Bajaj Tech.AI partnered with a leading NBFC in India to spearhead the “SEO Factory” initiative, aimed at improving SEO performance by optimizing keyword and URL strategies using data-driven insights. The NBFC's SEO team had no centralized way to see which keywords and URLs were actually driving business outcomes, not just traffic, a common gap between marketing analytics and the transaction systems that record whether a visit ever became a customer.

Bajaj Tech.AI integrated clickstream data from Adobe Analytics with transaction data into a unified Data Lakehouse, giving the SEO team a direct “URL to Disbursal” view connecting every page visit to the leads and disbursements it ultimately produced.

Business Challenge

The primary challenge for the NBFC's SEO team was improving the website's search engine ranking to drive organic traffic. But ranking alone doesn't pay the bills, the team struggled to pinpoint which keywords and URLs actually elevated page rankings and increased conversions, as opposed to simply driving visits that went nowhere. A page could rank well and attract significant traffic while contributing almost nothing to actual loan disbursements, and without connected data, there was no way to tell the difference.

Without a centralized system to track keyword and URL performance against business outcomes, SEO efforts lacked the precision needed to focus on what actually mattered. The company needed a consolidated platform that could highlight the most effective URLs and keywords, showing the correlation between site visits, leads, and disbursements not just between visits and rankings.

The gap wasn't a lack of SEO effort, it was that traffic data and business outcome data lived in separate systems, so no one could tell which SEO wins were actually translating into revenue.

Solution Approach

Bajaj Tech.AI implemented a solution by integrating clickstream data from Adobe Analytics into a Data Lakehouse. Simultaneously, leads and disbursement data from the NBFC's transaction system were merged into the same central repository, connecting two datasets that had never been queried together before marketing analytics on one side, the system of record for actual loan outcomes on the other.

• A unified performance view: Combining key performance indicators such as page URL, visit count, lead count, and disbursement count into one connected dataset.
• Full-funnel visibility: This comprehensive dataset enabled the SEO team to track which URLs and keywords were driving the most engagement, leads, and conversions, not just traffic.
• Targeted optimization: With this unified view, the team could focus their effort specifically on optimizing the highest-converting URLs, ensuring the SEO strategy was both data-driven and precisely targeted.

This solution builds on the same Data Lakehouse architecture and Adobe Data Feed processing pipeline Bajaj Tech.AI built for this financial marketplace — SEO Factory is one of the concrete business use cases that unified data foundation was designed to enable.

Business Impact & Results

The unified “URL to Disbursal” insights transformed the NBFC's SEO approach, changing what the team measured and, in turn, what it optimized for.

• Data-driven strategic decisions: With data showing which pages led to the highest disbursements, the SEO team could make strategic decisions grounded in concrete performance data, rather than traffic metrics alone.
• More efficient optimization: This shift resulted in more efficient and focused optimization efforts, ultimately driving higher organic traffic and conversion rates simultaneously.
• Deeper customer understanding: A deeper understanding of customer behavior empowered the NBFC to make informed, data-driven decisions aligned with its business goals, enhancing both online visibility and SEO performance.

The core shift was moving SEO measurement from “which pages get visited” to “which pages actually generate business”, a distinction that changes where a team spends its optimization effort entirely.

Key Takeaways

• SEO performance and business outcomes need to live in the same dataset before a team can optimize for the right thing
• A “URL to Disbursal” view turns SEO from a traffic metric into a revenue-attributable one
• Connecting clickstream data with transaction data is a direct, practical use case for a unified Data Lakehouse
• Precision in SEO strategy comes from knowing which pages convert, not just which pages rank or get visited
• This kind of full-funnel visibility benefits from the same Adobe Data Feed processing discipline used elsewhere in the same platform

Conclusion

For this NBFC, the SEO Factory initiative turned SEO from a traffic-focused discipline into a revenue-attributable one, giving the team a direct line of sight from a specific URL all the way to disbursement. Organizations running SEO efforts disconnected from actual business outcomes can draw a clear lesson from this engagement: ranking and traffic are necessary, but only useful once they're measurable against the metrics the business actually cares about leads, disbursements, and revenue, not just visits.

This kind of data engineering work reflects the same unified-data-foundation thinking behind Bajaj Tech.AI's OBT Data Warehouse and data democratization engagements, in each case, the real unlock was connecting data that had never been queried together before.

Looking to connect your SEO strategy directly to business outcomes? Connect with our experts to explore the right approach for your organization.