Medical inflation in India is rising by around 12.9% annually, making health insurance increasingly critical for households. Yet, insurance penetration remains under 3.7% of GDP, with life insurance at 2.7% and non-life insurance at 1%.
This points to a serious protection gap. Many Indians need health and term insurance, but the way these products are sold often leaves buyers confused, pressured, or underinformed.
As a result, buyers often choose the cheapest policy instead of the right one, only to discover co-pays, room rent limits, or waiting period exclusions during a claim.
The Problem No One Talks About: Spam Calls
Researching insurance online brings another problem. The moment a user enters their phone number on most insurance platforms, they trigger a cascade of cold calls from multiple insurers, sometimes 10 to 15 calls within hours. For younger, digitally native buyers especially, this experience is a dealbreaker. It actively discourages people from researching insurance online and pushes many toward quick, uninformed purchases to end the process.
This cycle of spam, pressure, confusion, and mis-selling has been a structural feature of how insurance is distributed in India for years. A growing segment of consumers is now looking for a way out of it.
The Shift Toward Advisory-First Insurance
A new category of insurance platform has emerged in response. Rather than showing a user 50 plans and asking them to pick, advisory-first platforms assign a trained advisor who reviews the buyer’s health profile, family structure, existing coverage, and budget, then recommends 2 to 3 policies that actually fit. The comparison happens before the recommendation, instead of being pushed onto the consumer.
This shift mirrors what happened in mutual funds a decade ago, when direct stock-picking gave way to advisory platforms built around the insight that product complexity demands human interpretation.
The same logic now applies to insurance, a category where the stakes of getting the product wrong are highest precisely when the buyer is most vulnerable: at the time of a claim.
What distinguishes the advisory model from aggregation is the process and the incentive structure.
Many aggregation-led models may involve different commission structures across insurers, which can create potential conflicts in product recommendations. Advisory-first platforms that standardise commissions remove that incentive entirely. The advisor’s only job is to find the right fit.
The advisory relationship also extends beyond the sale, with help during application and claims.
How Ditto Insurance Built the Advisory-First Model
Ditto Insurance is an insurance advisory platform backed by Zerodha, built by the team behind Finshots, one of India’s most widely read finance newsletters, with over 5,00,000 subscribers. The platform focuses exclusively on health and term insurance advisory.
The Finshots connection matters because it established trust before Ditto ever sold a policy. Hundreds of thousands of subscribers already associated the team with clear, jargon-free financial explanations.
Ditto launched in January 2021 with a single premise: most Indians do not need another comparison website. They need someone to explain what the policy actually says. The Zerodha backing provides credibility and operational stability, but Ditto operates independently on its advisory model.
The platform has a team of IRDAI-certified advisors who help users understand, compare, and buy the right policy.
A free consultation is available with no obligation to purchase.
Critically, Ditto maintains a guaranteed no-spam policy. There are no follow-up calls unless the user asks for them. In an industry defined by unsolicited calls, this is a structural commitment rather than a marketing promise: Ditto’s business model accepts that many consultations will not convert to a sale, because the goal is correct advice, not deal closure.
What the Experience Actually Looks Like
Ditto Insurance holds a 4.9 Google rating from over 22,000 customers, making it one of the most trusted insurance advisory services in India. Having served over 8,00,000 customers, the platform’s scale is unusual for an advisory-first model.
A significant reason for the rating is post-purchase support. Most insurance platforms disengage after the sale. If a claim gets rejected, the policyholder is typically on their own. Ditto’s dedicated claims team acts as an intermediary: handling documentation, following up with the insurer, escalating to the grievance cell if needed, and filing with the Insurance Ombudsman as a last resort.
This lifetime claim support means the advisory relationship does not end at policy purchase. It extends to the moment that actually matters.
What This Means for the Insurance Industry
IRDAI’s recent push for greater transparency, standardised policy wording, hospital scorecards, and shorter waiting periods runs in the same direction as the advisory-first approach. Both aim to make insurance more understandable for the end buyer. As health insurance products grow more complex, with more add-ons, variable co-pay structures, and sub-limits, the case for human advisory grows stronger, not weaker.
The advisory-first model is unlikely to replace aggregation entirely. But it is establishing itself as the preferred channel for considered purchases like health insurance and term life insurance, where a wrong choice can lead to deductions, exclusions, or even claim rejection when the customer needs support the most.
Ditto Insurance is an IRDAI-registered Corporate Agent (Composite), License No. CA0738. This article is for informational purposes only and does not constitute insurance or financial advice.
