Motif Analytics Brings Sequence Analytics to Growth Teams


Pattern Analysisa startup specializing in sequence analysis for Growth Teams, announced today that it has raised a $5.7 million seed funding round led by Felicis and Amplify Partners. Angel group InvestInData also participated.

At its core, Motif helps product teams find patterns in how users interact with their tools. According to the team, simply looking at metrics on a dashboard doesn’t provide the right kind of information. Instead, you may want to see what happens between a user viewing a product page, clicking through to a site, putting something in a cart, and then checking out.

“So you have this sequence of events that the user is doing and then you can look at and mark in your sequence: here’s the moment when a certain thing happened that could affect their actions,” m’ explained Mikahil Panko, co-founder and CEO of Motif. “Did they see a certain banner, for example? Did they set a reminder for meditation in the meditation app, something like that. And then later, did they pay or did they subscribe? »

The company was founded Panko (CEO) and Théron Ji (CTO), who met while working at Google. There, Panko told me, he discovered that even though he had access to enormous amounts of data, it was difficult to get practical insights from all that information.

“The reporting was pretty good, but the practical information, which is generally ‘what do I need to do to move my metrics forward, where can I find my levers to influence the business?’ It was complex,” he told me. So he started looking at sequence analysis as a tool to find these levers and developed an internal sequence analysis platform within Google, which became very popular within the company. Today, after a stint at Uber, he and Ji, who built these tools with Panko at Google, decided to team up to create a company around this idea.

Sean Taylorwho previously worked at Facebook and Lyft in various data science roles, joined the team as the third co-founder.

Image credits: Pattern Analysis

Panko tells me the team is currently targeting growth and operations managers. These users interact with Motif primarily through its easy-to-learn tool. Sequence Operations Language (GROUND). According to the team, the more standard SQL is not suitable for sequence analysis. The team is also working on a full drag-and-drop user interface, which will also open the service to more non-technical users. The result, however, is an interactive visualization that makes it easy for virtually any user within a company to see where potential changes could lead to increased growth. As the team noted, Motif leverages much of the rigor of data tools that data science teams already use and then combines them with its SOL and interactive visualizations.

Image credits: Pattern Analysis

An interesting aspect of Motif’s technology stack is that it uses extended language models (LLM) at the heart of its analytics engine.

“LLMs predict what the next words will be – and they are very good at telling which word goes with another – or not,” Panko said. “We adopted it for use on event sequences. I’m interested in this type of conversion, for example subscriptions, unsubscribes or unsubscribes. That’s what matters to me. And now it can model the entire sequence and the model can tell us at each step how likely the user is – given what they’ve done in the past – to reach the end. [of the sequence]. This allows you to get to where the levers are much quicker.

Image credits: Pattern

Another interesting technical innovation: Motif uses WebAssembly to allow users to work with local datasets in the browser without having to send any of their data. to company servers. This won’t work for very large data sets, but it gives potential users the opportunity to try the service without having to connect their private data to Motif.

“As a technology marketer and investor, I have seen first-hand how the analytics space has become overcrowded with similar-sounding products that consistently over-promise and under-deliver,” he said. said Viviana Faga, general partner at Felicis. “Pattern‘s new and differentiated approach uses sequence analysis and offers a unique way to apply AI to analytical data. Most businesses face complex data stacks and enormous efforts to provide actionable insights for daily business decisions, now with Pattern there is an easy-to-use solution that will reinvent the way technology companies use their data.


Leave a Comment

Your email address will not be published. Required fields are marked *