Segwise provides a copilot tool to boost Return On Ad Spend (ROAS) for games and apps by automatically monitoring campaign data and providing insights. The service fetches and analyzes data, turning it into actionable insights without the need for engineers or credit card.

Segwise

Fiddler is an AI Observability platform that enables organizations to build trustworthy, transparent, and understandable AI solutions. The company is committed to responsible AI and offers products to build trustworthy AI free of bias.

Amit Paka

Krishna Gade

Fiddler

Amazon Web Services (AWS) provides cloud computing services, enabling businesses to build sophisticated applications with flexibility, scalability, and reliability.

Phoebe Wang

Amazon Web Services (AWS)

AppDynamics is a full-stack application performance management (APM) and IT operations analytics (ITOA) company based in San Francisco. The company focuses on managing the performance and availability of applications across cloud computing environments, IT infrastructure, network architecture, digital user experience design, application security threat detection, observability, and data centers.

Jyoti Bansal

Bhaskar Sunkara

AppDynamics, Inc.

Segwise is an AI powered observability platform for Product Growth teams that tells you what is influencing your metrics everyday. It tracks millions of user segments and funnels and alerts you about growth opportunities or broken funnels.

Segwise.ai

So we did a thing 😛

We launched a giveaway for all our substack readers wherein we promised 3 lucky winners Premium Subscriptions to Lenny's newsletter!!! We know how much you PMs love him 😉. 

In this fun little video, we announce the winners for the same as promised: Tanuj Agarwal, @veekay_21 (on Twitter), and @Shubhambrnw (on Twitter). Congratulations folks! We will reach out to you to get you the subscriptions! Thank you to everyone who participated 🙏

Those of you who might not have won, don't worry, we will keep doing fun PM-related giveaways for our subscribers. So what are you waiting for? Hurry up and subscribe, find the link in the comments 👇

As we get ready for the holidays in the new year, a lot of the PM's out there might be thinking...

HOW DO I PERFECT MY PRODUCT ONBOARDING? 😛

As always, we are here to help. Check out our blog to discover how you can systematically address and improve all aspects of your onboarding experience, impressing your managers in the process. Link to the blog in the comments👇

Finding it hard to keep up with all that product and growth content?
Feel like you just don't know where to start? 

Say no to FOMO, we here at segwise.ai have faced the problem and are out to solve it - Presenting "This Week in PLG", a newsletter that follows all the best product content creators on all their channels and sends you links to all the good stuff from the week with short summaries. Link to the latest newsletter in the comments 🚀

We just got covered by YourStory Media where we share our view on why Observability for Product Growth teams is where the alpha is for data driven mobile app startups! 



https://lnkd.in/dn4HxvkX

How to Systematically Conduct PMF Experiments for Your PLG Product 🎯

Everyone starts building with a broad idea of who their Persona would be and a Usecase that will solve a particular Problem. Let's call these the PMF Inputs.

💡 The PMF journey is refining these inputs for user acquisition at a sustainable cost.

Take an English learning app for instance:
Starting Point: Usecase: Improve English speaking 
Persona: English learners 
Problem: Desire to speak English better

Round 1
Bring users in (Consumer app - 1000, B2B PLG - 100) and see who sticks! Use broad message ads at this stage, don’t worry about CAC at this stage.

⭐️ Pro-Tip: Don't optimise for signup conversions now. Infact, add friction to capture: Who they are (Persona), What is their usecase and What is their problem in their own words.

Post-Round 1, you'll know:
1. Who retained and engaged the best/worst from app analytics.
2. Direct inputs from users on persona, use-cases, and problems in their own words.

Merge this info to form 2-3 refined PMF Input Sets whose size is atleast 10% of your initial users. Keep broadening the Inputs until you get a 10% set. 

Examples:
Usecase: TOEFL preparation 
Persona: Non-native English speakers 
Problem: Efficient and affordable TOEFL success

Usecase: Seeking remote support job 
Persona: Latin American users 
Problem: Dollar-paying job

🚨 Note: At this stage, your retention and engagement will still be horrible. That's expected. The idea is to find the best segments among what you have.

Round 2
We now need to get the same number of users from each set through the gate as Round 1 so that we can sharpen our inputs even further.

In this Round, we can use what we know about our best users’ Usecase, Persona and Problem in:
1. Ad Creatives
2. Campaign Targeting

You can even use niche forums to acquire users for free, e.g., Reddit's TOEFL boards.

⭐️Pro-Tip: Every round, should generate segments which have higher top retention and engagement than the previous rounds and give you Sharper PMF Input Sets! If this happens, then you are headed in the right direction! 🎯

Repeat till PMF! ♽
At the end of Round 2, Maybe your top set looks like:
Usecase: Get a remote support job for a US Company
Persona: Women above 30 years from Brazil
Problem: Need a job that pays in dollars, can be done at Home and has flexible hours

Now, keep repeating the Rounds until you get to a Cost per retained user you can live with! 🤝

#pmf #plg #growth #productmanagement #findingpmf

🚀 Exciting News from BITS Spark!

We are thrilled to announce that not one, not two, but SIX of our BITSian-founded companies have been selected for the prestigious Techsparks '23 Tech 30 list! 🏆

These exceptional companies have made their mark in diverse sectors including:

1️⃣ Nawgati: operates a vertical SaaS platform for fuel station owners
2️⃣ Segwise.ai: an AI-powered observability platform for product and growth teams
3️⃣ NexStem: leveraging neuroscience to enhance human-machine interactions
4️⃣ Monet Work: platform to help companies hire mid- and senior-level talent through professional networks
5️⃣ PierSight Space: building satellites to enable easier and more effective monitoring of human activity at sea
6️⃣ INCLUD: a marketplace for manufacturers that operates in the kidswear segment

We couldn't be more proud of these companies and their teams for achieving this remarkable milestone. It's a true reflection of the thriving tech ecosystem we've fostered at BITS Spark.

Congratulations to all six companies! 🎉 Your success is an inspiration to us all, and we can't wait to witness your continued growth and impact on the Indian startup landscape.

Link to the article: https://lnkd.in/giuud7a2

YourStory Media Vaibhav Kaushik Brijesh Bharadwaj Siddhant Dangi Alok Soni Vinit Bansal 

Raju Reddy Jayan Ramankutty  Prem Jain Rahul Seth Venu Palaparthi Preetish Nijhawan Abhinav Khushraj Rohan Manchanda Sahil Shah

#BITSSpark #YourStory #Techsparks23 #Tech30 #Innovation #TechInIndia

We are now a YourStory Media, Tech30 startup! With an alumni of startups like Ola, Freshworks, Capillary Technologies, Chargebee, it's big big shoes we hope we will some day fill 🙂

Metric
Company Name	Segwise	Fiddler	Amazon Web Services (AWS)	AppDynamics, Inc.
Symbol
MSH ID	AI:SEGWISE	AI:FIDDLER	COM:AMAZON:AWS	COM:APPDYNAMICS
Market	PRIVATE	PRIVATE	PRIVATE	PRIVATE
Sector	Technology	Technology	Technology	Technology
Industry	Marketing & Advertising	Artificial Intelligence	Cloud Computing	Technology
Country	JO	US	US	US
Stage
Employee Count	6	74		1.51K
Website	segwise.ai	fiddler.ai	aws.amazon.com	appdynamics.com
LinkedIn		fiddler-ai		appdynamics
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic				540.46K
Web Traffic Growth				-0.11
Valuation
Raised Capital

Metric
Revenue
Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

AI:SEGWISE

Segwise

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio
P/B Ratio
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio
EV Multiple

Metric
Days Sales Outstanding
Days Payables Outstanding
Days Inventory Outstanding
Operating Cycle
Cash Conversion Cycle
Asset Turnover

Metric
Operating Cash Flow
Free Cash Flow
Cash Flow to Debt
Operating Cash Flow/Sales
Free Cash Flow Yield

Metric
Cash & Equivalents
Accounts Receivable
Inventory
Goodwill
Debt to Capitalization
Debt to Assets
Current Ratio
Quick Ratio

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue
R&D to Revenue
SG&A to Revenue