Kinetic Age
Consumer Technology
How Kinetic Age 4-5x'd lead conversion with a one-person marketing team
Kinetic Age was sitting on 10,000 leads from Meta, Google, referrals and offline camps with no way to rank them. With Sortment's Quest scoring the top 100 leads into Slack every morning, a 15-person team lifted conversions 4-5x without adding a single marketer.
Kinetic Age had 10,000 leads coming in and a small team doing its best to give each one the right kind of attention.
Leads arrived from everywhere. Meta and Google ads accounted for roughly 70% of them. The rest came in through referrals from existing customers and through offline senior-citizen camps the team ran in parks around Bangalore. With that many sources feeding into one list, it took real effort just to see who each lead actually was.
Calling all of them was never realistic, since IVR at that volume burns budget fast and risks making a health service for seniors feel like spam instead of care. Researching each one by hand asked even more of the team. A salesperson had to trace the lead back through the campaign that created it and the calls that followed before knowing how to open the conversation, and with 10,000 leads and a handful of people, that kind of manual care didn't scale.
Today, 100 ranked leads land in Kinetic Age's Slack at 9am, scored on all of that context automatically.
Challenge: Too many channels, no way to read them
Kinetic Age sells a service where the right opening line changes everything. A daughter enquiring about her father's post-surgery physiotherapy needs a completely different conversation than a 68-year-old signing up for daily yoga, and in a spreadsheet the two look identical. With leads spread across so many channels, the sales team had no fast way to tell which customer they were looking at or what that person actually needed.
The data existed, scattered across the ad platforms that generated the lead, the call logs that followed, and the sales team's memory. Reconstructing one customer's story meant opening several tools and reading backwards through their journey. Kinetic Age needed something that could pull all of that together into one place and turn it into a clear next step for each lead.
Solution: An intelligence layer over every source
Sortment connected to Kinetic Age's ad accounts, calling data, WhatsApp tooling and Slack, then started answering the question the team actually had: what does this specific person want, and how should we reach them?
Ad-level context on every lead. Sortment reads Meta and Google at the campaign, ad set and creative level. When a lead comes in, the team knows which creative brought them in and what that implies about their intent, so the sales script is chosen before the phone rings rather than discovered halfway through the call.
IVR scripts matched to the customer. Sortment supplies the data that decides which script runs for which IVR campaign, based on what that customer came looking for.
Channel preference, learned automatically. For existing customers, Sortment tracks where each person actually engages and prioritizes that channel for them. Yoga reminders, medicine reminders, vitals updates and progress reports for adult children all route to whichever surface that household responds on, WhatsApp or the app.
A marketing team of one, unblocked. The heavy lifting of capturing data and deciding how to use it sits with Sortment, which is what lets a single marketer run execution instead of spending their time on data collection and analysis.
Quest: The top 100 calls, ranked every morning
Quest is where the shift showed up in numbers. Sortment already held the full context on every lead, including where they came from, why they came, who had called them and what was said. Quest turns that into a daily ranking: the 100 leads most likely to convert today, plus the top 1,000 worth retargeting. The team stopped calling at random, and the results without Sortment's ranking were four to five times lower than with it, a 4-5x lift from using Quest on a daily basis to decide which leads to call.
IVR moved further. Running the same campaigns against Sortment-ranked audiences instead of a random thousand produced seven to eight times the conversions, at lower cost per conversion, and with easier, higher-quality conversions overall.
Use cases unlocked
A daily SOP that cannot be skipped. Every morning at 9am, Quest pushes the day's top 100 leads straight into Slack. Working through them and logging what happened is a standing part of the sales team's SOP. In a 15-person company where everyone carries several jobs, that removes the failure mode where lead review quietly gets dropped for a week, since the system builds the SOP into the workflow rather than leaving it to memory.
Sales feedback that improves the ranking. Sortment reads the sales team's responses in Slack and feeds them back into how leads are scored. The people closest to the customer end up training the model that decides who gets called tomorrow.
Script selection per creative. Because the ad connections carry down to the creative level, Sortment tells the sales team not only which leads to call but how to open with them, based on the campaign and creative that produced the lead.
Support: An extended team
Akshat singled out support as the thing that separated Sortment from the other tools Kinetic Age has bought. The Sortment team, particularly Arush, has acted as an extended team for Kinetic Age, coming up with ideas, pulling in data from their side to brainstorm, and driving many of the use cases the team relies on today. The volume of calls and back-and-forth that goes into that relationship is high enough that Kinetic Age doesn't even track it as separate overhead anymore, it's just part of how the partnership works.
Conclusion
Asked how he would describe Sortment to another founder, Akshat compared it to general-purpose AI tools wired up with MCPs, and landed on Sortment as the more complete answer: a single tool that understands how uniquely an organization works, connects with every data source available, acts as an intelligence layer over all of it, and tells the team exactly what approach to take and how to take it. In practice, it functions like an extended team member, one that understands the data and the context well enough to point out what will actually move sales and marketing forward.