Everyone focuses on the Total Addressable Market (TAM), which gives an unrealistic expectation of your market size.
Instead SOM gives you a more practical estimate.
14 mental models that helped me build 10 startups and sell (a bunch of them) for millions.
Everyone focuses on the Total Addressable Market (TAM), which gives an unrealistic expectation of your market size.
Instead SOM gives you a more practical estimate.
Is the number of new users an average customer generates and a strong indicator of how highly your users like your product.
The higher your viral coefficient, the cheaper your acquisition costs.
The process of exposing your users to different versions of the product/ messaging to determine the most effective one.
All top companies do this on a regular basis.
The different stages that a buyer goes through before making a purchase.
Understanding what stage they're in helps you strategize your marketing accordingly.
A comprehensive step-by-step plan that companies deploy to bring a new product/ service into the market.
The basic version of your product with core functionality that's just enough to launch and gather feedback.
A measure of how much your product/ service is being used relative to the total market.
Eg: Netflix has a 21% share in the streaming services market in the US.
The activities that a user performs repeatedly while engaging with your app, reinforcing them to use it again, and again.
It comprises the different touchpoints that take a person from a complete stranger into a happy customer.
It measures how much a customer is worth relative to the cost of acquisition.
If it's less than 1, you're burning your cash by bringing in more customers.
The percentage of customers who cancel/quit your product relative to the total number of customers.
To increase LTV, you need to have a lower churn rate.
The gap that exists between a user's problem and the value delivered by the solution.
The higher the gap, the more you can charge.
Refers to the interaction that makes the users realize the value of the product or causes them to change their impression of the brand.
A plan designed to help owners/ shareholders sell their ownership partially/ completely.
14 mental models that helped me build 10 startups and sell (a bunch of them) for millions.
— Joe Speiser \u26a1\ufe0f (@jspeiser) October 24, 2022
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
