Policy Bazaar I Acquisition project
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Policy Bazaar I Acquisition project

Product: Policy Bazaar Life Insurance B2C

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


About the Product:

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.

​

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.

​

Acquisition stage of the product:

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.

​

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:

  • Acquiring higher quality users online - ~1.2 cr+ Income tax filers still do not have any life insurance policy. Income tax filers are considered high quality users given ~70% are salaried with justifiable income against the sum assured seeked in the term policy
  • Scale customer acquisition for non-conventional users like Self employed (with low income tax filing), Homemakers etc.

​

Let's get started:

Understanding the Ideal Customer Profile

​

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:

  • 67% of the folks are in the bracket of 25-25 (with majority falling between 30-25)
  • 70% of the users are salaried, 20% are self employed and balance either student or homemaker
  • 80% of the users are married with 15% of them are with young children
  • 85% of the users have an annual income range of over 15 lacs and balance are between 5-15 lacs
  • 76% of the users stay in Tier 1, 12% in Tier 2 and balance in Tier 3
  • 100% of the users are comfortable making their other investments like Mutual funds, Stocks, FD online using the intermediary apps
  • 44% of the users like to do their investment research themselves via Google search, Blogs, Podcasts etc. , 22% take recommendation from current trusted app and the balance are influenced by social media
  • Most users have seen Insurance ads on social media - Meta & linkedin
  • Top decision making factor while purchasing insurance is the policy feature & the brand being promoted

​

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:

  • Most users think of Life insurance after a particular milestone in like - Marriage or kids
  • These users are also searching for some other milestone related gaols like child plan, child education expense, house property rates in their individual areas etc. this could be a good surrogate
  • The potential customer base is active across social platforms, open to engage with digital RM's as well as open to purchase via "DIY" journey
  • All the users are comfortable purchasing via both app as well as web journey
  • Fear (Particularly post COVID), uncertainty of future income, family security are some reasons driving the urge to research and buy life insurance

​

Basis all of the above below are two kinds of customer profiles created:


​

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

​


#

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


Now that we have two ICP's identified for the product, let's understand if the product has room to acquire more customers​

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

​

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:

  1. Acquiring larger volumes of customers online via top ranking amongst the most popular keywords used for term insurance considering the TAM detailed above
  2. Increasing awareness via Paid advertisements and partner integrations to reach out to a potential / new user base with better conversional ratios as well as quality


What are some of the traits demonstrated by ICP 1:

  • Believe in their own research - Over 50% of the users believe in researching themselves before making the purchase decision - google search being the top preference
  • 100% comfortable in doing an online journey with low need of physical assistance
  • Spends time on investment & other ecosystem apps like Investment apps (Groww / Zerodha, Banking), Mobility (Ola / Uber), Medical & Pharma (Practo / netmeds), Groceries (Swiggy / Zomato), OTT (Netflix / Prime), Food Delivery (Zomato / Swiggy) etc.
  • Also, as per Deloitte 2020 insurance outlook - 93% of the customer buying policy online start with a search engine result

​

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

Screenshot 2024-06-08 at 8.50.36 AM.png

Screenshot 2024-06-08 at 8.51.28 AM.png

Basis the above keywords, have collated the insights in a measurable format to understand the entire funnel in detail:

​

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:

  1. On 3 of the top 6 key word searches like Term insurance online, term life insurance etc. policy bazaar does not feature in the top 2 ranking (sponsored) as well as organic
  2. Max life insurance and Icici prudential life insurance dominate the top ranking (organic + sponsored) given the following reasons: Immediate calculator landing page (to view premium and features), simplified communication as compared heavy communication from policy bazaar, simplified UX etc.
  3. With the air cover from Digital / brand campaigns, policy bazaar as a keyword has searches over 4 lacs / month and has over 80% click to session rates - This must be capitalised.
  4. Only issue - despite heavy traffic on Policy bazaar keyword - some of this traffic gets re-directed to Insurance company website. Hence, strong hooks needed to keep the customer engaged and acquired on the policy bazaar website itself

​

What are some of the Friction areas / Opportunity to influence ranking?

  • Need to influence ranking to appear on the top search links - higher footfall on policy bazaar website
  • Ring fence customers on Policy bazaar website to improve clicks --> visits --> leads --> conversions

​

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:

Screenshot 2024-06-08 at 11.25.40 AM.png

Screenshot 2024-06-08 at 11.25.00 AM.png

​

Experiment is to a create a new Search category aorund 2 crs Life cover with the following rationale:

  • 2 crs of Life cover can be given to any individual below 40 yrs of age and over 10 lacs of annual income in a simple DIY journey without complicated interventions
  • Over 70% of the ICP's covered through survey and other conversations are in the income range of 10 lacs+
  • When nudged about the 2 crs life plan, 80% of the respondents agreed to getting a higher life cover - but lack of information in this area restricted their choice
  • Most amazing fact: 1 crs life premium / month for a 30 yr old is ~1300 INR and the same premium for a 2 cr life cover (2X life cover) comes at just 1900 INR (1.4X increase). Customer premium paying ability should not become a blocker here.

​

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:

  • Double your life insurance cover with just additional 500 / month
  • Now 2X Life insurance cover comes at a cost of a Netflix subscription
  • Beat Inflation with an adequate cover, Salary to security etc.
  • Targeting earning females: Securing their future in your hands too


Leveraging Podcasts, news letters, website content etc, to build on this strategy.

Some key words to start building on this experiment:

  • Bidding higher on 2 cr life cover / Insurance cover
  • Bidding higher on cheapest term insurance
  • Bidding on Best Insurance cover with the headline as: Best Ideal Insurance cover. No Compromises


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:

​

Screenshot 2024-06-08 at 2.33.33 PM.png

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

Paid Advertising

High

Low to Medium

High

Medium - High

High

​

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

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

Special salaried professional discount

​

​

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:

​

BE THERE FOR EVERY STEP THEY TAKE.png


​

Green Casual Corporate Personal Insurance Finance LinkedIn Single Image Ad (1).png


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

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

​

For self employed, we will be using both Meta and youtube with below details:​

Campaign

Ad Set

Marketing Pitch

Special offering for Self employed

​

​

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

​

Sample static mock created for the self employed advertising:


Red Minimalist Family Insurance Instagram Post.png





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