Sergey Keller

You have a product. Leads are not converting. The next step is to look into your funnel, find the gaps, and define hypotheses based on the research you did with the dropped off users.

When we created product funnel for PandaDoc I was involved in a strategy for churn. Another word for churn is success. Winning at churn is not possible without setting the right process for the Customer Success team. Looking into starting your own success team? Simply start polling your customer base offering free help, call them.

I have expertise in data science, tech stacks, and business, which allows me to come up with a solution for such topics as churn, conversion optimization, PLG, and improving revenue funnel. Feel free to call me for advice or brainstorm session. Happy to help and spread the good vibes.

I follow simple rule here: one-click action — hide complexity behind the scene. I apply new techs to enable this rule. This is especially important when you create product-led growth — replacing a step in the critical path increases conversion rate. Why adding cognitive load on a human?

The 'Growth Hacking' term nowadays is used like a hype train. I prefer focusing on Growth Engineering. It is a set of rules consisting of design & UX principles, baked with data analysis, some stats knowledge is required. And don't forget to put your custom ideation sauce on top.

I set roadmaps, prioritize features, build a data-driven culture for the rest of the organization, and set the vision for the future. My role is to enable Revenue Funnel with our product-led growth initiatives.

Looking to analyze the initial pre- and post-release strategy for your product? Let me know your thoughts and ideas, I how to look for the signals before wasting your time. Also, some say PMF is a myth. I believe it's just a matter of marketing requirements, user research and data analysis

I specialize in full-stack web development and architecture. I outline 3 main directions: Python, JavaScript, Data Engineering. For external 3rd party SaaS tools, I've had worked with CRMs, BI and Analytics, Project Management, Data pipeline, Tooltip systems.

In general, most event-based analytics help easily navigate into SQL-less data-driven world. I prefer such tools and now using Amplitude. It helps to build cross-cutting analytics

I built many interfacing using modern frameworks like Angular or React ecosystem. I can tell that lots of UX depend on how performant your web-app is and that depends on following modern frontend technologies

Python is a powerful language that can help you to bootstrap your startup in a really fast way. Python can also deal with a variety of data science and machine learning projects, having a strong open source community behind.