Carl
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And the time gains that they will have, they'll likely reinvest in your platform.
And that is where the large degrees of freedom enter.
Because you'll have normal users that will just say, OK, these proactive insights, they're good enough for me.
But you'll always have power users that are looking to investigate all the data that you have in your platform in various ways.
And there you can give them the freedom of freeform reports.
Did you know that in HubSpot, 79% of users prefer their own reports compared to the dashboard templates?
And so by giving freeform reports, not only are you helping them to uncover
specific problems, specific solutions to their problems, but it also leads to better adoption, more engagement.
And if you're lucky, they'll actually uncover a new battlefield where you as a company can win.
And moreover, often it leads to less trains on your teams because no more customer success team anymore to generate custom reports.
The engineering team just gives the end users the possibility to slice and dice the data.
So you gain time that your teams can reinvest in the core of your application.
I hope with these levels you got a clear view on how you can improve in customer-facing analytics.
I think with the technological advancement that we are today, there's no excuse anymore for you to be disregarding customer-facing analytics.
As SaaS companies, you actually should already be on level three or at least working towards that because your customers are expecting you to do so.
And if you're not doing it, you can be very sure your competitor is doing it.
And then it becomes a difference between success and extinction.
Moreover, with the economical uncertainty today, you have an obligation towards your end customers to help them because what better way to remove that uncertainty through data-driven decision-making?
So I hope I gave you some extra knowledge, some ways to improve on customer-facing analytics.
I'll be around the whole afternoon here, so don't hesitate to ask me any questions.