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Perplexity is an alternative to traditional search engines, where you can directly pose your questions and receive concise, accurate answers backed up by a curated set of sources. It has a conversational interface, contextual awareness and personalisation to learn your interests and preferences over time.
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Click here to view core desktop web product workflows. The core workflow is same across web and mobile applications.
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Click here to view PR, reviews and marketing campaigns.
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1) What are the different topics/categories searches you have made? and what are you trying to accomplish on the Perplexity?
2) How many corrections/ nudges you have to make before getting ideal search results while using? how long do you take to get a satisfied answer?
3) How do you generally end up on perplexity chat interface? whats the task you are trying to achieve? Were you using any software/ product before ending up on perplexity, what is it?
4) How do you use the information/ search results generated by perplexity? What are the immediate applications/ products you interact while using or just after the use of perplexity?
5) Do you see any need for you to convert to a Premium plan? If you ever convert to a premium plan, what will be the scenario.
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β | ICP 1 | ICP 2 | ICP 3 | ICP 4 |
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Who are they? | Random searcher | Working Professional | Founders/ Business Managers | Student |
Age | 22-25 | 25-30 | 33-40 | 18-20 |
Gender | Male | Male | Female | Female |
Location | Bangalore | Hyderabad | Mumbai | Chennai |
Occupation | Junior Engineer | Software developer | Founder | College Student |
Income | 5 LPA | 15 LPA | 25 LPA | - |
Relationship status | Single | Single/ In a relationship | Married | Single |
Lives with | Family | Alone | Family | Friends |
Where do they spend time? What are their interests? | Work: 40-50 hours per week. | Work: 50-80 hours per week They spend time upgrading skillset, parties and social media. | Work: 40 hours per week. | College: 40-50 hours per week. |
Where do they spend money? | Cricket, Movies, Sports and Food. | Rent, travel, food, family, lifestyle, fashion. | Loan EMI/Mutual funds/Savings, Rent, food, lifestyle, fashion, shopping | Food, rent, lifestyle, fashion |
What do they value more: Time vs. Money | Money | Money & Time | Time | Money |
Did they previously used Google Search/ ChatGPT | Yes | Yes | Yes | Yes |
How many times they search on perplexity? | once a week | 1-10 times per week. | 10-70 times per week | 1-10 times per week. |
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Value to user | Ease of Adoption | Frequency | Appetite to pay | CAC | |
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ICP 1 | Low | Medium | Low | Low | High |
ICP 2 (Working Professional) | High | Very Highβ | Medium | Medium | Lowβ |
ICP 3 (Business Managers) | Very Highβ | High | Highβ | Highβ | Mediumβ |
ICP 4 | Medium | Medium | Medium | Low | High |
Assumption: Since this is an acquisition project, not focusing much on monetisation and product is available in freemium model.
Based on above framework prioritising considering high value, low CAC and high ease of adoption; narrowing it down to two channels:
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Click here for in depth Market research.
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Scope is Indian Market though the product is international product.
Perplexity is a free search product and can be converted to Premium based on the user need and usage.
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There are a total of 820 million internet users in india.
TAM = 620 million
(Assumption, users use Jio Cinema (IPL & Disney hotstar merger) and often use search for cricket score or to know more about their favourite player or actors) reference
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SAM = 130 million users - (English speaking users as Perplexity is only available in English, Users should know English.) reference
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SOM = 20.56 million users
(Based on the priority ICPs who uses our product for learning, 20.56 million is the number of learners on Udemy. this user segment mostly consists of all users who want to put in effort to gin knowledge). reference
Average ARPU = 1 $ (generated via ads)
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Market size for free search product is 20.56 million * 1$ = ~ 20 million $ (Potential revenue from advertising in Indian market)
FYI: In user research no one needed premium version of Perplexity as either they have alternate product or free access suffice their needs.
Nonetheless, lets estimate the market for Paid/Upgrade Search Product.
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TAM = 130 million users - (English speaking users as Perplexity is only available in English, Users should know English.) reference
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SAM = 20.56 million users
(Based on the priority ICPs who uses our product for learning, 20.56 million is the number of learners on Udemy. this user segment mostly consists of all users who want to put in effort to gin knowledge). referenceβ
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SOM = 7.2 million users
(The above users are making >10 lakhs per annum and can afford to pay 20 $ or 1500 rupees per month if the need comes up) reference
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Considering the adjusted price point for indian users of 5$ per month. Low Premium plan.
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Average ARPU = 5*12 $ = 60$ (generated via subscriptions)
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market size for free search product is 7.2 million * 60$ = ~ 430 million $ (in the best case scenario for indian search subscription market).
Search and discovery with AI along with verifiable sources.β
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As there is no visibility for the immediate monetisation from the users (B2C) in Indian market, the plan is to reach the potential users with use cases and build brand value/ mind share so that indian users think of perplexity for their needs of knowing something or completing a task with AI.
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Choosing Acquisition channels with Low CAC or almost no CAC.
Organic search
Capturing incoming interest and expanding on this seems to be a good idea. Often the prioritised ICPs search for task/ use case in Google/ Youtube and go to Specialised AI chat interfaces like Perplexity.
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Content loops
As there is a lot of data generated by the free users, converting system & user generated data into some form of content loops seems to be a good idea.
Paid advertising - No
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Product Integrations - Maybe
ICPs often use Linkedin, Workplace softwares like powerpoint/ docs, Browser, Development environment etc. Direct integration needs a lot of accuracy and access to workplace/ personal information which user might not be comfortable.
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Referral/ Partner Design - Maybe
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