We will talk about the Metrics that actually matter to your company ( Pre & Post Fundraising )

🎯 We all love building our company and we all mostly focus on tech or product, but as a founder we should track, measure and improve too. We will talk as m Here are the 9 most important startup metrics investors care about — and you should too.

What is Metrics and Why does Metrics Matter? Metrics are the values & financial related. You can't grow what you don't measure, to even raise the funds metrics matter alot ( Not 10th standard but financial metric )

Investors don’t only see your Idea or vision they also see your traction and many more stuffs. ( In India thou they just see tags as recent Thatmoonemojiguy's post, read it once )

Metrics are of many types lemme list below with details :

📈 MRR / ARR : Simple MRR is Monthly recurring revenue ( like Medial's 99rs premium per user and if 1000 users are buying premium then MRR of medial is 99,000 ) and ARR is Annual recurring revenue ( Medial's ARR in this case would be 11,88,000 ) now think how and answer it yourself give some exercise to your brains too 🪲

🚀 Burn Rate : How much money are you spending monthly / quarterly. For example let's see Zepto burns 2500cr quarterly I don't know for what they spend but yea they do. ( Don't know about medial burn Rate 🥲 )

🛣️ Runway : This is basically like now guess Medial have just 10L in their bank and there burn rate is 1L monthly so they have 10 months of runaway ! So did you get or did you understand ? If not lemme know

🤼 CAC ( Customer Acquisition Cost ) : These can be calculated in many ways let's think like advertisements, discounts, etc all comes under the marketing spends. I'll give an example, guess you are spending 5000₹ on marketing / running ads or whatever then you get 50 new customers so at that time your CAC is equal to 100rs ! Did y'all get it ?

Formulae : Total spends on advertising/ marketing ÷ new customers = CAC ( let's learn mathematics too ) ✅

🧑‍🦳 LTV ( Lifetime value of customer ) : How much money do you think you can earn from your customer's over time ? Example : Medial charges 99rs Premium per month and if customer is paying staying and paying for a year then Medial LTV is 1188rs They say that your LTV should be atleast 3/4 times more than your CAC

🍯 Churn Rate : Not that widely known by much of us but yea it's important to know, it's the percentage of customers who stop using your product after some time or immediately after 1 month. Example : Medial users are using premium and 1000 people are using this month and next month only 200 of them are using at that time it's called bad product fit or bad onboarding or no good Useful stuffs are provided ( In reality if you medial premium you wouldn't stop buying until you delete medial from your memory haha )

High churn rate is bad for a company. But always there's a way to correct it.

🤸 Activation Rate : How many user's did all the required stuffs & how many of them actually completed their first transaction or etc. Example : Medial get 500 new users in that all 500 complete their profile details and buy a premium. Then it's a great activation Rate ( this is mainly for SaaS, PaaS, Social Media platforms etc. )

🔁 Retention Rate : How many of them stay, how much of them return and scroll or stick around. Example : 500 people onboarded on medial and all are using it daily and sticking around and they are even sharing to friends. So that states a good retention rate.

💎Bonus metric : North Star metric ( i came accross this word recently and yea it's good to know ) NSM is like a key metric which will show your products ka value and also let's you capture the core value of what your product delivers to customer. Few examples as i understood are Uber : Rides completed Spotify : Time spent listening ( I might be no expert in this single topic, so i request you too check on it and know more about it )

💡 Pro Tip: Main one's from above at early stage are just focus on MRR, Activation Rate, Retention rate, and CAC - LTV that's more than enough at the early stage, but I suggest you to know everything 🚬