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Acquisition Customer Engagement Customer Onboarding Retention

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Stop chasing revenue at any cost

Chase your company’s revenue at any cost, and your clients won’t stick around. Help your customers thrive, and your income will be automatically guaranteed. How can you do that? Just take out the revenue as the main KPI from your dashboard for a while. To test my theory, I asked 5 CEOs in the SaaS industry how they envisioned a dashboard that lacks the company revenue. I asked them to draw their ideal dashboard on a napkin. Curious what they look like?

How to get more users to reach your product goals?

How many of your customers pay without experiencing your value proposition? They will be the first to churn. Prevent that by adapting your strategy according to the onboarding stage your users are in.

North Star Metric

I was having a call with one of our customers and he wanted me right there and then to look into his data and tell him how to grow his SaaS business. Here’s what I told him: 'Take more people to the North Star Metric and their chances to stick with your app will increase significantly.'

Increase your revenue by 100% with a simple hack – The Rule of 72

If you are in the position to increase your company’s revenue by 100% you might want to have a look at The Rule of 72. It’s a simple hack used to split this massive task into manageable steps.

Why I love Zest so much

As a marketer I'm always on the run, but I still want to be up to date with what's going on in my field of expertise. With Zest I get the latest top marketing articles in my feed every day!

Which are the trends in analytics for 2019?

Growth frameworks and growth champions - these are the 2 main trends for 2019 which have recently come on the market and will further develop this year. To this - add the 'no bull shit' strategy and you'll be on the right track.

How to define a highly engaged SaaS user

8 min read

A highly engaged user is someone who regularly receives value from your app. But exactly how engaged do you have to be to be considered a highly engaged user?

How to analyse customer paths?

7 min read

Find what is the exact path customers use to convert, and you can replicate it again and again, making sure more clients are taking the same path.

4 tried ideas on marketing automation enrichment

13 min read

I used to be a marketer and I am guilty of every classic trick in the book. When I stopped fooling myself and started using these 4 strategies for enriching marketing automations I noticed the change.

Dear developers, why do you still hate marketers?

8 min read

I might be an analyst now, but I wasn’t always one. I started my career as a digital marketer, so I know the ins and outs of this job, the heartaches and the pain.

Here’s how we helped a customer optimize their live chat strategy

8 min read

How can you improve the live chat strategy of a company if the numbers show that the users who interacted with the live chat staff had a conversion rate twice as big as the ones who didn’t?

Are you sure fast sign-ups will generate more paying customers? Think again

4 min read

Fast sign-ups focus on quantity, while considered sign-ups focus on quality. But there is an in-between method that combines the best of the two worlds.

Master Engagement Scoring & Churn Prediction for greater profitability

6 min read

Some believe that churn prediction and engagement scoring work only for large companies. In our experience, all companies, whatever the size, can benefit from these figures. Customer retention is closely linked to the engagement levels of your users, which, in turn, can be used to predict the churn risk. Learn how to interpret engagement levels and increase retention.

Why basing your reports on sign-ups and not on on-boarded users offers a fake perspective on your business growth

10 min read

Did you know that up to 60% of your new users interact with your app only once? These are all the users who create an account but never finish the on-boarding process. In what follows we will show you how not focusing on on-boarded users can lead to misleading conclusions that can affect your business.

Lessons from one year of rewarding data-driven decisions

11 min read

Last year we started an experiment. We promised 7 SaaS companies to help them with data-driven decisions by answering every question they had regarding their user behavior and product usage. I lead a small team that consisted of a web analyst, a mathematician and a data processing programmer.