Policy bazaar is an online insurance web aggregator providing compare and buy platform for customers to compare multiple insurance products, make a selection and complete end to end purchase journey
Life Insurance arm of Policy Bazaar currently is at the matured scaling stage - they dominate ~90% of the direct to customer insurance purchase in the country. The product sees interest from over 1 crore potential customers visiting the website and eventual over half a million purchasing the product. the company runs two lines of business under Life insurance: Term product and Savings product
For the scope of this project, we will be picking Term product category given the category is growing at a comparatively faster rate of ~50%, the focus is to improve insurance penetration in the country with the Term category uptake and lastly it is more looked up on by the customers online in terms of research, affiliations and comparisons.
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Definition of Term Insurance: Pre-agreed sum amount (basis the policy premium paid) is given to the nominee in case of the death of the policy holder.
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Policy Bazaar is currently in the matured scaling stage. The core focus is to identify channels which can help generate large customer footfalls / leads for the call center team to chase while staying within the quality expectation as well as ensure reducing / flatten Cost of acquisition . Currently Policybazaar is heavily dependent on Digital ads (Meta, Google searches, email campaign etc.) while also using some kind of cold data.
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During my interaction with Ms. Santosh Agarwal - Chief Business officer Life insurance at Policy Bazaar, there were 2 insights / problem statements which i came across are:
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Understanding the Ideal Customer Profile
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For this understanding, there was a a quick survey link (https://www.surveymonkey.com/r/NJT57H9) put out which received responses from 18 folks who have purchased Life insurance policy online. Below are the quick results:
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In addition to this, i met up / spoke to ~27 users around me to understand some other factors of an ideal customer profile. some of them are listed as below:
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Basis all of the above below are two kinds of customer profiles created:
β | ICP 1 | ICP 2 |
---|---|---|
Age Group | 30- 40 | 25-35 |
Income range | >15 lacs | 10- 15 lacs |
City | Tier 1 | Tier 1 & 2 |
Occupation | Salaried | Salaried & Self employed |
Family details | Married | Single, Married |
Online investment traits | 100% confident in making investment online 75% of them can take a DIY journey | 70% - 80% confident |
Current touch points (in that order) | Google search, Podcasts, Referral, Meta, Linkedin | Youtube, Linkedin, Meta, Google search |
Key influencers | Intermediary investment apps Own research - Blogs, Podcasts Social media- Linkedin, Meta Peer recommendation | Digital ads Investment apps Peers & family Social media - Meta |
Key blockers | Clarity in communication needed Clear Give & get to be shown Trust missing - Hidden T&C's | Simplified communication missing Trust issues - problem of over communicating |
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# | Adoption curve | Frequency of use | Appetite to Pay | TAM | Distribution potential |
---|---|---|---|---|---|
ICP 1 | Low | Low | High | High | High |
ICP 2 | Medium | Low | Medium | High | High |
What is the TAM for a life insurance policy to be bough online: Since Insurance industry is in its matured scaling stage, i am going ahead with a Top-down approach to calculate the potential TAM
# | Numbers |
---|---|
Indian population (as on June'24) | 144 crs |
% of Population between 25 to 40 | 50%-55% |
Population eligible between 25 to 40 | 70 crs |
A - Income tax filers / Payers (basis current 5%) | 3.5 crs |
B - Others with disposable income but no returns filed (~5%) | 3.5 crs |
A + B - TAM | 7 crs |
Penetration within the eligible base @5% - SAM | 35 lacs customers |
Avg Life insurance premium | 25,000 |
Total Market potential | 8750 crs |
Sources: https://www.investindia.gov.in/sector/bfsi-insurance, Worldometer, https://policyholder.gov.in/indian-insurance-market
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Core proposition of the product: Sum of money given to the designated beneficiary in case of the death of the insured person.
Keeping the ICP in mind along with the TAM opportunity, let's figure out the Right Acquisition channel
Through the right acquisition channel, we are trying to find a solve for below of the two problem statements:
What are some of the traits demonstrated by ICP 1:
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Keeping all of the above in mind, organic search continues to be one of the most preferred way to acquire large volumes of customer. while Policy bazaar currently focuses on their SEO strategy to acquire over 50% of their customers online, there is still some room to optimize and win on rankings.
Organic search will be our 1st acquisition channel with the objective to solve for large customer acquisition as one of our first problem statements. While solving for this, we will also try and address the concern raised by the CBO at Policy Bazaar on acquiring large volumes with quality for better conversions
Another reason to believe for considering organic search as one of the important channels of acquisition is given the potential to scale, flexibility to scale up / down with a potential to reduce cost of acquisition with some smarts on articles, content, search words etc.
Channel | Cost | Flexibility | Effort | Lead time | Scale |
---|---|---|---|---|---|
Organic search | Medium to High | High | Medium | Medium - High | High |
Top key words basis the avg monthly searches used for Term Insurance:
Term Life Insurance
Term Insurance
Best life insurance
Best Term life insurance
Term insurance calculator
Policybazaar
LIC life insurance
Max life term insurance
Cheapest term life insurance
Source: Keyword planner - Google ads and Keyword research & SERP analysis - Moz
Basis the above keywords, have collated the insights in a measurable format to understand the entire funnel in detail:
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Type of search | Keyword | Search volume (avg monthly) | Impressions (Share of voice) | Difficulty to rank on seo | Avg cost per click | Projected Click through rate | Clicks | Click to session | Session to lead | Leads | Conversion rate | Conversions | Cost per website/app land | Website land to conversion rate | COA |
Use case | Term Insurance | 100000 | 60000 | High | 210 | 12% | 7200 | 4320 | 20% | 864 | 3.5% | 30 | 350 | 0.7% | 167% |
Competitor | Maxlife Term | 80000 | 24000 | High | 260 | 9% | 2160 | 1296 | 15% | 194 | 2.0% | 4 | 433 | 0.3% | 481% |
Your product | Compare and buy | 90000 | 54000 | High | 50 | 30% | 16200 | 9720 | 30% | 2916 | 7.0% | 204 | 83 | 2.1% | 13% |
Your brand name | PolicyBazaar | 100000 | 90000 | Medium | 40 | 30% | 27000 | 18900 | 30% | 5670 | 8.0% | 454 | 57 | 2.4% | 8% |
Use case | Best term life insurance | 100000 | 60000 | High | 250 | 15% | 9000 | 5400 | 20% | 1080 | 4.0% | 43 | 417 | 0.8% | 174% |
Competitor | Icici term life insurance | 70000 | 21000 | High | 280 | 10% | 2100 | 1260 | 15% | 189 | 2.0% | 4 | 467 | 0.3% | 519% |
Your product | Cheapest term insurance | 100000 | 70000 | High | 100 | 25% | 17500 | 10500 | 30% | 3150 | 6.0% | 189 | 167 | 1.8% | 31% |
Your brand name | PolicyBazaar | 100000 | 90000 | Medium | 80 | 35% | 31500 | 22050 | 30% | 6615 | 7.0% | 463 | 114 | 2.1% | 18% |
Use case | Term Insurance calculator | 60000 | 36000 | High | 200 | 15% | 5400 | 3240 | 20% | 648 | 3.0% | 19 | 333 | 0.6% | 185% |
Competitor | Max life Term calculator | 50000 | 15000 | High | 230 | 10% | 1500 | 900 | 15% | 135 | 1.5% | 2 | 383 | 0.2% | 568% |
Your product | Cheapest price, online discount of 10% | 50000 | 30000 | High | 50 | 30% | 9000 | 5400 | 30% | 1620 | 7.0% | 113 | 83 | 2.1% | 13% |
Your brand name | PolicyBazaar term calculator | 60000 | 54000 | High | 40 | 35% | 18900 | 13230 | 30% | 3969 | 8.0% | 318 | 57 | 2.4% | 8% |
Use case | term life insurance | 100000 | 60000 | High | 240 | 15% | 9000 | 5400 | 20% | 1080 | 4.0% | 43 | 400 | 0.8% | 167% |
Competitor | HDFC best term life | 80000 | 24000 | High | 300 | 10% | 2400 | 1440 | 15% | 216 | 2.0% | 4 | 500 | 0.3% | 556% |
Your product | Compare and buy term insurance | 90000 | 63000 | High | 150 | 25% | 15750 | 9450 | 30% | 2835 | 6.0% | 170 | 250 | 1.8% | 46% |
Your brand name | PolicyBazaar | 100000 | 90000 | Medium | 125 | 30% | 27000 | 18900 | 30% | 5670 | 7.0% | 397 | 179 | 2.1% | 28% |
Use case | 1 cr term insurance | 70000 | 42000 | High | 200 | 13% | 5460 | 3276 | 20% | 655 | 3.0% | 20 | 333 | 0.6% | 185% |
Competitor | Icici pru 1 cr term cover for 460 pm | 50000 | 15000 | High | 220 | 10% | 1500 | 900 | 15% | 135 | 1.5% | 2 | 367 | 0.2% | 543% |
Your product | Cheapest price, online discount of 10% | 50000 | 30000 | High | 60 | 25% | 7500 | 4500 | 30% | 1350 | 7.0% | 95 | 100 | 2.1% | 16% |
Your brand name | PolicyBazaar best buy 1 cr term cover | 60000 | 54000 | High | 50 | 30% | 16200 | 11340 | 30% | 3402 | 8.0% | 272 | 71 | 2.4% | 10% |
Key Insights from the searches and current utilisation report:
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What are some of the Friction areas / Opportunity to influence ranking?
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Core USP of Policy bazaar that aligns with our ideal customer profile:
# | Policy Bazaar USP | ICP expectation |
---|---|---|
1 | Option to compare & Buy | Likes to do own research before making the decision |
2 | Best of the plan from different insurance companies available at one stop | Simplified & Authentic information needed Information to be validated by influencers |
3 | Acquisition time | Expectation to receive information within no time |
1st Experiment:
For over last couple of years, online term insurance segment has been dominated with the cheapest 1cr term cover being promoted with the subsequent pricing war propositions and top search results showing similar results as seen below:
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Experiment is to a create a new Search category aorund 2 crs Life cover with the following rationale:
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How will we go about doing this?
Begin with marketing a new concept call Life which resonates to the Life premium as well as provides a simple concept which can be extensively communicated too .
How much Life Insurance coverage is a good cover to have?
L: Liabilities
I: Income replacement
F: Final expenses
E: Education (most ICP are / will enter phase with young children)
This easy formula being communicated extensively will help users realise the need for an higher cover
Some headlines / user stories to pull traffic on popular keywords:
Leveraging Podcasts, news letters, website content etc, to build on this strategy.
Some key words to start building on this experiment:
Landing page to be re-imagined with the L.I.F.E calculator. Focus on diverting entire traffic to the LIFE calculator. Currently entire traffic is directed to the quote generation page, quote to be integrated with calculator.
2nd Acquisition channel: Paid Advertising
Understanding the CAC: LTV ratio for a term life insurance product as below:
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The CAC to LTV ratio is 1:3 with the current 1.5 of product density. With the density moving to 2, the CAC to LTV ratio will land around 1:4
Now, with this Paid advertising continues to be one of the largest acquisition channel in a B2C insurance industry
Channel | Cost | Flexibility | Effort | Lead time | Scale |
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Paid Advertising | High | Low to Medium | High | Medium - High | High |
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The 2nd problem statement we wanted to solve was around getting new users with a specified demographics in mind. This helps in right product positioning, brand awareness and quality lead generation.
Keeping this in mind, lets us plot the framework for the campaign to be launched:
# | Basis the selected ICP inputs |
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Channel selection | Meta, Linkedin, Youtube, Google |
what does mine ICP look like? | Meta: 25-35 yr old I Tier 1 & 2 cities I Interests in financial information pages - mutual funds, stocks, how to build capital etc. Users to looking at new born pages / reels (child pitch), frequent travellers, users following health & lifestyle related topics etc. |
Campaign structure | Objective: Generate leads / interests for an outbound campaign Ad group: Basis the ICP description mentioned above |
Ad creative | Generate ~12% impressions to lead ratio |
With this let's look into experiments we want to run on Meta to meet our objective:
Experiment 2: We want to extensively target salaried professionals with minimum 5 lacs and above income, both in Tier 1 and 2 cities, between the age group of 25-40 years with the proposition of special product discount available for them
Campaign | Ad Set | Marketing Pitch |
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Special salaried professional discount β β | Salaried : >10 lacs | As you support your family, here is a little from us too 15% discount on 1st year premium 2 cr Term cover starting 1000/ month |
Salaried: 5 - 10 lacs | Cheapest term cover starting 589* per month Exclusive 15% discount for salaried professional | |
Salaried: 30-40 years with children | Be there for every step that they take! 2 cr term cover starting 1000 / month 12% salaried employee discount on 1st year premium | |
Salaried: below 30 years | Start early, 1 cr term insurance starting at 25 / per day 10% salaried discount available online | |
Female salaried professional | Securing their future is in your hands too! 1 cr term cover starting 589 / month 12% online discount on 1st year premium for salaried professionals |
Have created some sample static mocks for Meta:
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Experiment 3: We want to extensively target self employed professionals with minimum 5 lacs declared income, both in Tier 1 and 2 cities, between the age group of 25-40 years with the proposition of unique plans without the need of financial proof available for them
Awareness and penetration of Life Insurance is low in Self-employed as a segment. with the need to acquire new users to the Life insurance, Self-employed category needs to be promoted. This will need push marketing in reaching out these target cohort, building awareness and generating interests .
# | Basis the selected ICP inputs |
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Channel selection | Meta, Youtube |
what does mine ICP look like? | Meta: 25-40 yr old I Tier 1 & 2 cities I Interests in financial information pages - owns a business account with Meta, interests in building businesses, users following health & lifestyle related topics etc. |
Campaign structure | Objective: Generate leads / interests for an outbound campaign Ad group: Basis the ICP description mentioned above |
Ad creative | Generate ~10% impressions to lead ratio |
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For self employed, we will be using both Meta and youtube with below details:β
Campaign | Ad Set | Marketing Pitch |
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Special offering for Self employed β β | Self employed: >10 lacs | We have got you covered while you take care of your business No financial documents needed 50 lacs Term cover starting 500/ month |
Self employed: 5-10 lacs | As you take risky business calls, we have got your family secured No financial documents needed 50 lacs Term cover starting 500/ month | |
Salaried: below 30 years | Finding the right investor for your startup? We have found you the right investment for your family No financial documents needed 50 lacs Term cover starting 500/ month |
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Sample static mock created for the self employed advertising:
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