Growth Model Design project | Lokal
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Growth Model Design project | Lokal

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One platform for everything local

Trusted by over 45+ million Bharat users

Our Vision

Building a one stop place for all local needs for billion non-English speaking Indians.

Our story

Founded in 2018, Lokal is on a mission to strengthen hyperlocal communities by enabling its mostly non-English users to share, interact and transact in their regional language. Lokal users gain access to hyperlocal information such as daily commodity prices, local jobs, real estate, matrimonial, local business advertorials and classifieds which would otherwise be scattered across local newspapers.

The app is available in Kannada, Telugu, Tamil, Malayalam, Gujarati, Bengali and Marathi, and has 45M+ downloads with a presence across 1000+ towns and 250+ districts across India. Having achieved unmatched user density in deep tier 2 & 3 locations in India, Lokal has raised Rs 120 crore in a Series B funding round from new investors Global Brain and Sony Innovation Fund and is also been supported by marquee investors, namely 3 one 4 Capital, India Quotient, Y Combinator.  

Latest local Updates for Bharat

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Jobs from diverse categories

With 25 lakh+ job opportunities available, reach out to the recruiter directly to apply based on your qualification and interested job role.

Approaching Bharat via Lokal

Unlock your business growth today by advertising on Lokal App. Reach your target audience easily, boost brand visibility, and drive results. Partner with us to elevate your marketing strategy today.

Step 1: Decide your Northstar metric for Lokal

Lokal currently has:

  • 45 million downloads
  • 10 million Monthly active users
  • 3 million daily active users
  • Average daily engagement time ~ 12 mins
  • Average no of sessions done by users ~ 4 sessions
  • Average news cards consumed per session ~ 15


As Lokal is at Early Scaling stage, north star metrics for a news (Social Media) application would be:

  1. # engaged sessions
  2. # average time spent​

Step 2: Build the growth equation for Lokal

AVOD

Revenue = No of free customers X Average No of Sessions Per User X Average Ad Revenue per session

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Lokal last year made $3 Million using AVOD


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Step 3: Collate current metrics of Lokal

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Current monthly new users

1250000

Current definition of casual users

Uses Lokal App for less than 15 minutes on a daily basis

Current definition of core users

Uses Lokal App for 15 to 30 minutes on a daily basis

Current definition of power users

Uses Lokal App for 30 minutes+ on a daily basis

Activation metric definition

Use Lokal App for 3 consecutive days for ~ 15 mins on a daily basis

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Step 4: Establish the nuke scenario for Lokal


Existing users

10,000,000

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80%

70%

64%

50%

47%

40%

38%

36%

34%

32%

30%

28%

28%

Month 0

Month 1

Month 2

Month 3

Month 4

Month 5

Month 6

Month 7

Month 8

Month 9

Month 10

Month 11

Month 12

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https://docs.google.com/spreadsheets/d/1-MGeciBnK5n2Pt7ZZxmJ9sUhQArJgz49QMZ-E9BGOII/edit?gid=1121463088#gid=1121463088

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Nuke scenario is what happens to Lokal in terms of number of users if no new users are added for next 12 months. In such a scenario, two aspects come into play.

  • Effect of retention rate
  • Effect of resurrection​

We have to grow revenue from $3 Million to $20 Million

Step 5: Calculate Incremental Growth for Lokal

Currently, $0.025 is the monthly Ad revenue per user which we need to take to $2


https://docs.google.com/spreadsheets/d/1wT03w7JMtc6-pbRe3svj7CZTwe45tPnSrId-U8rRhfw/edit?gid=0#gid=0

Step 6: Identify core levers for Lokal

  1. Increase CPM
  2. Increase Perceived Value
    1. Enhance the overall advertising performance & drive higher revenue for brands
      1. User Segmentation
      2. Cohort Targeting
      3. Ad Selection
      4. Ad Personalization
      5. Ad Delivery Optimization
      6. Performance Tracking and Analytics

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Presenting your growth model

Step 1 : Begin with the conclusion

Step 2 : Create a list of supporting arguments for my proposed solution.

Step 3 : Accompany your supporting facts with data

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