CASE STUDY

FTA Global x ManipalCigna

FTA Global helped ManipalCigna, a leading health insurance brand, scale its visibility across high intent search and AI driven discovery.
5
-MINUTE READ
March 25, 2026
Business Impact

From 149 to 1,337 Top 10 Keywords and 1.5M+ Search Demand Captured in 5 Months

797% Top 10 keyword growth

Top 10 keywords grew from 149 to 1,337 between August and December 2025

1.5M+ search demand captured

Up from 408K, driven by intent-aligned content and city-level demand capture
month SEO strategy and content optimisation programme

Traffic was never the problem. Intent was.

Health insurance is one of the most researched purchase decisions a person makes. Nobody buys a policy on impulse. They compare. They calculate. They ask very specific questions: "Which plan covers pre-existing conditions?" "What does a ₹10 lakh sum insured actually get me in Chennai?" "Is ManipalCigna better than X for a family of four?"

These are not casual queries. They are the questions of someone who is close to a decision and looking for a reason to trust one brand over another.

ManipalCigna had the product to answer those questions. But the website wasn't built to intercept them.

Traffic was coming in. Leads were not following. And the gap between the two wasn't a marketing problem or a brand awareness problem. It was a structural content problem dressed up as a conversion problem.

When we looked under the hood, the diagnosis was clear: the site was capturing broad, low-intent traffic and losing the users who actually mattered at exactly the moment they needed the most clarity.

What the audit revealed.

Five structural gaps were driving the disconnect between traffic and qualified leads.

Pages were broad where they needed to be specific. Health insurance buyers don't search generically. They search by sum insured, by city, by family size, by condition. The site had pages. Those pages weren't aligned to how buyers actually search when they're ready to evaluate and choose.

Content lacked depth and expert signals. In a category where trust is the primary purchase driver, thin pages with no expert backing, no contextual depth, and no credible signals give users no reason to stay, no reason to trust, and no reason to convert. They bounce to a competitor who answers the question properly.

High-intent coverage was missing entirely. The queries that sit closest to purchase, sum insured comparisons, city-specific plan availability, coverage explainers for specific conditions, were either absent or too shallow to rank. The site was visible for informational queries and invisible where buyer intent peaked.

Internal linking was accidental. Blog content existed but wasn't connected to conversion pages. Users who arrived through informational content had no clear path toward evaluation or enquiry. Traffic was entering the site and leaking out without ever touching a page designed to convert.

City and sum insured demand was completely uncaptured. A buyer in Bengaluru searching "health insurance ₹10 lakh cover Bengaluru" and a buyer in Mumbai searching the same query are both high-intent, both close to a decision, and both looking for a localised, specific answer. Neither was finding ManipalCigna in that moment.

The fix was structural, not cosmetic.

The instinct when traffic isn't converting is to optimise the landing page. Change the CTA. Test a new headline. Run a heatmap.

That is the wrong move when the structural problem sits upstream, in how content is organised, what queries it targets, and whether the internal architecture guides users toward conversion or lets them drift.

We rebuilt the content architecture around four connected tracks.

Intent alignment first.The content structure shifted from topic-led publishing to intent-led architecture. Every piece of content was mapped to where a user sat in the evaluation journey: awareness, comparison, or decision. Mid-funnel and bottom-funnel queries got dedicated coverage. The site stopped publishing content that attracted the wrong users and started building pages that intercepted the right ones.

Content rewritten for decision support.Pages were rewritten for clarity, not comprehensiveness. Health insurance content fails when it explains too much without helping users decide. We introduced FAQs structured around real buyer questions, added contextual depth where evaluation required it, and built in expert-backed signals that gave users a credible reason to trust what they were reading. The goal was content that moved people toward a decision, not content that answered every possible question for every possible user.

Demand capture built from scratch.Sum insured pages were created for the specific coverage levels buyers actually search: ₹5 lakh, ₹10 lakh, and the tiers in between. City-specific landing pages were built to capture localised demand across the markets where ManipalCigna operates. Blogs were connected to conversion pages through deliberate internal linking so informational traffic had a clear, friction-free path toward evaluation.

Internal linking restructured as a conversion system.Structured linking hubs were built across the content architecture. Blog content pointed toward relevant service and product pages. Service pages pointed toward comparison and enquiry pages. The linking wasn't decorative. It was functional: designed to move users through the funnel rather than leave them stranded on an informational page with nowhere obvious to go next.

Five months. What changed.

August 2025: 149 keywords in the Top 10. Search demand captured at 408K. The site is visible but not where buyers are making decisions.

The months that follow: intent mapping complete, pages rewritten, sum insured pages live, city pages launched, internal linking rebuilt. The content architecture starts intercepting the queries it was previously missing.

December 2025: 1,337 keywords in the Top 10. A 797% increase. Search demand captured at 1.5M+, nearly four times the starting baseline.

But the number that matters most isn't in the keyword report. It is in what those keywords represent. ManipalCigna was no longer appearing only in informational search. It was showing up where users evaluate, compare, and choose: the queries that sit closest to a purchase decision, in the cities and sum insured tiers where real buyer demand lives.

Traffic became qualified traffic. And qualified traffic converts at a fundamentally different rate than broad informational traffic.

The lesson that applies to every insurance brand.

Health insurance search is won or lost in the middle of the funnel.

Most brands optimise for awareness, broad category terms, generic explainers, top-of-funnel visibility. That traffic feels good in a dashboard. It looks like reach. But it rarely converts, because the users arriving through broad queries are researching, not deciding.

The users who convert are the ones searching with specificity. A sum insured in mind. A city in mind. A life stage or health condition shaping what they need. Those users are looking for a brand that meets them with an equally specific, equally credible answer.

ManipalCigna had that answer. The work was making sure the site delivered it at exactly the right moment, for exactly the right query, with exactly the right path to conversion waiting on the other side.

When those three things align, traffic stops being a vanity metric and starts being a business result.

Campaign Duration: August to December 2025Services: SEO Strategy, Content Optimisation, Keyword MappingIndustry: Health InsuranceLocation: India

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