Founder Supl.ai | Product & Growth Analytics for SaaS | Data-Driven Pricing Expert
I had an excellent session with Kritika. I don't think I've ever had a more productive 30mins than this discussion ever. Kritika structured an agenda, asked inquisitive questions, discovered our product and our industry beforehand, and was prepared with a thorough approach for us to follow with super solid frameworks, helping us address our analytics challenges. We even went over on time and kept going. I leave the meeting with so many thought starters and action items for us to work on for our analytics. I couldn't have asked for more, thanks you Kritika! Definitely a mentor and analytics rockstar.
Kritika was exceptional. Before even visiting the website, she took the time to deeply understand the problem my product aimed to solve, asking thoughtful questions that helped surface the core pain point and validate the need for the solution. Her discovery process was sharp, curious, and grounded in real user empathy. She visited the website in real time, offered thoughtful critique on UI/UX elements, and provided clear, actionable advice on monetization and growth strategy. I left the session with renewed confidence, strategic clarity, and a prioritized roadmap. Highly recommend Kritika to any founder looking for practical, high-impact guidance on product-market fit and early-stage growth.
It was a great session with Kritika Jalan. Her approach was both insightful and practical. One of her key recommendations was to create four dashboards: acquisition, activation, sales and revenue, and a top-level company view. This structured approach provided a clear roadmap for analyzing our data more effectively. Although we couldn’t directly walk through our analytics during the session, what she shared gave me a solid foundation for our investigation. Would definitely recommend her for data science/analytics!
I help subscription-driven businesses turn monetization into their strongest growth lever. With 10+ years across SaaS, consumer tech, healthcare, retail, logistics, and telecom, I’ve seen too many companies chase growth through expensive acquisitions while ignoring the revenue potential locked in pricing, retention, and market-fit. My work focuses on three areas: AI-Powered Pricing Innovation → Using data and personalization to move beyond static tiers and unlock scalable, dynamic revenue models. Retention & Sustainable Monetization → Helping companies grow efficiently by reducing churn, improving LTV, and aligning monetization with long-term customer value. Emerging Market Pricing Playbooks → Designing subscription strategies for India, MENA, and Africa where behaviors differ dramatically from the US/EU. I speak regularly on these topics, where I’ll cover how AI, sustainability, and emerging market dynamics are reshaping the subscription economy. Some highlights of the work: 📊 Piktochart – Rebuilt pricing after a major revenue drop, unlocking recovery and new growth. 🌍 Feeld – Optimized packaging and pricing for emerging markets, adapting to prepaid-first behaviors. 🧬 Genentech Pharma – Shaped breast cancer market-entry strategy by identifying early adopters, treatment drivers, and halo effects. 🛍️ Harrods & Bed Bath & Beyond – Improved customer segmentation, sales forecasting, and inventory planning. 📱 Optus.Yes (Australia) – Measured and optimized marketing effectiveness for the iPhone 6s launch campaign. 👉 If you’re a founder, investor, or product leader scaling a subscription business, I can help you design systems that unlock growth without burning CAC.
From landing page conversion optimisation to e-commerce paid conversion, I have done it all with numerous clients I have worked with across the globe. I work from an angle of product growth and human psychology
There are 2 ways of doing this. One is internal data products (like chatbots, recommender engines, or search box optimization). The other is advanced analytics for planning and prediction - What SKUs are going to sell the most next year, optimize the inventory accordingly. What users have the highest propensity to churn, give them discounts.
Building loops, not funnels are the way to grow in the competitive world of marketing and decreasing channel effectiveness. Linear channels are only going to take you so far. The best companies are built on self-sustaining growth loops with high ceilings.
Apart from competitiveness, pricing needs to change per market and their willingness to pay. Have helped dating apps, as well as productivity apps, find the sweet spot for pricing for maximum impact and long-term revenue!
That has been primarily my job since I started my career. Customer analytics is another term for product analytics. How should your onboarding flow look like, what should the user journey from acquisition to activation look like; what kind of content speaks to our users, what pricing strategy, what feature set, what works, what doesn't
Working remotely since 2018, before it was widely accepted. Talk to me about workspace organisation, team structure and team offsite. Have worked remotely with companies in the UK, Germany, Netherlands, Romania, US, Australia, Malaysia, UAE, Africa and the list goes on
Be it your analytics stack or marketing stack, I can help pick the right tools based on your needs and the stage the company is at. Having worked with companies making 1M ARR to 300M ARR, the exposure on the tooling I got was phenomenal
Empower your teams with self-service insight into what bets to make, what features and customer actions lead to outcomes, and where to double down. Allow your team to instantly answer both simple and complex questions—from measuring baseline metrics to understanding, exploring, learning, and predicting what will happen next.
Customer.io is a customer engagement platform that enables marketers to build sophisticated automated messaging campaigns. With access to real-time behavioral data, users can create personalized and relevant messages to engage and retain customers. This includes sending emails, push notifications, SMS, in-app messages, and more through a visual building experience. Built for scale, Customer.io boasts users among over 4,600 companies, sending over 8 billion messages per year.
All saas product companies use GA to track their customer events and understand acquisition, retention, user journey, product changes required, etc. Expertise: Auditing to setting up the right metrics to find value from GA data.
Experimentation framework from CXL, robust experiments to get maximum out of every test and faster path to optimization. Conversion optimisation on landing pages, click through on parts of the app, activation, engagement experiments etc.
Since its beta version release, I have seen this baby grow! Free BI tool with multiple connectors and easy to use for BI analysts. Works best with Google Platforms (BQ, Sheets) but seamless with other sources as well.
I do not like that they insist us to write our processing logic in their tools so I recommend using DBT instead and just use looker for viz and self-serve. Well, you can get this functionality for close to no price with Holistics so rather try that!
Love of my life, hold on to your dear wallets! Very similar to what Amplitude does (in a fraction of the price), this is a product analytics tool that will let you analyze your product with ease. It gets costly at times if you have high user events and is recommended to use only when you start making money off your product.
Strong proficiency in MySQL database management. Decent experience with recent versions of MySQL. Understanding of MySQL's underlying storage engines, such as InnoDB and MyISAM. Experience with replication configuration in MySQL. Knowledge of de-facto standards and best practices in MySQL.
Magical CDP Plug and play, for real. Connect all your data sources and this platform will let you debug the data, move to another destination like product analytics tools or data warehouses or CRM tools for ease of data management.
Some of the cuts and charts you can throw in here are just exceptional. It is very similar to PowerBi and both are really powerful in getting you started with telling compelling business stories from your enterprise data.
Worked with 2 Ed-tech companies, from India (Goa and Hyderabad). One of them was an LMS for engineering colleges and another one was an LMS for private tutors and coaches.
Worked with multiple B2B companies - Air cargo logistics, courier delivery, enterprise hiring system, startup hiring system, enterprise storytelling and reporting tool. Freed.ai Digitail Allied Aviation Aviahire Piktochart
Some of the B2C clients I have worked with in the past - Dating App from UK, Fitness app from Singapore, Luxury Retailer in the UK, Furniture Retailer in the US, Chinese Laptop company, Australian Telecom, Indian Social Media
For Iran-based biggest e-commerce retailer, have been advising them on things to look for in the data to drive their day-to-day decisions on partnership, offers and discounts, inventory, recommendations etc.
Worked with multiple SaaS companies - A competitor to Excel with smart database and templates. A competitor to Lever and Greenhouse with smart ATS and recruiter marketplace. A competitor to Canva with focus on business audience and reports.
Have helped multiple digital marketing agencies monetize their data; effectively communicate their impact to the clients and improve their experimentation framework to lead to better conversion rates.
Enabling the vet clinic SaaS company with - 1. Defining OKRs and KPI reporting 2. Monetise clinic data by selling rich information to the client itself 3. Generate industry-level insights to become experts 4. Migrate clinics from legacy softwares to Digitail systems
Set up their analytics function from scratch as they grew from 1m ARR to 10m ARR 1. Architecting Data Infrastructure 2. Growth Experimentation for churn reduction (leading to 5% churn reduction) 3. Product Analytics for profile completion (leading to doubling the completion) 4. Pricing Experiments for improved revenue (leading to $10K monthly improvement)
Enabled the marketing agency with - 1. To monetize their data (can talk more on how). 2. Effectively communicate their impact to the clients 3. Improve their experimentation framework to lead to better conversion rates.
1. Identified trade-routes that were most valuable for business in terms of revenue, relations and brand value. 2. Identified decripancies in prices the airlines were charging the aggregator leading to better negotiating power. 3. Decluttered their data and automated process to make information available easily. The project led to changing of their yearly strategy around sales, hiring and operations. It directly impacted $10M in revenue for the aircargo aggregator.
The project involved understanding their inventory utilization and identifying measures to reduce wastage. The project led to $60K in waste reduction (and losses) every quarter
Enabled savings of millions in warranties by understanding the issues in their product using customer support calls, online reviews, and written complaints. NLP and ML use case.