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Leveraging your data 
by building your 
own sales tools 
NewCo Amsterdam 
Ewout Meijer 
Director of Business Partnerships
Springest, the public version of the site 
3.000.000 unique visitors per year
When you want to sell trainings, 
you find out that large companies are the main customers: 
The person taking the course, is not the one paying for it
We built a white-label version of Springest 
That way, the company could pay for the courses easily, 
and have more control over which courses are booked. 
! 
This also meant we had to sell B2B
Challenge: 
How to effectively target 
this new group of 
potential customers?
We solved this by sticking to three guidelines 
What will have the 
most impact?
Proving 2 it live, even 
over Doing it live 
AKA: Prove that it can Scale or let it Fail
3 Focus on small, lasting, 
scalable improvements, 
even over creating a big & 
bold project, and especially 
over growth hacking.
And we use our developers to create sales tools too, rather than just the product
We approach all new tools, products, services and features in the same way: 
the build-measure-learn feedback loop 
If you want to learn more about this, make sure to read “the Lean Startup” by Eric Ries
By using ASQ, an open source application, 
we can quickly and cheaply build sales tools
We’ve sold lots of trainings, and gathered data 
on the email domains of the companies the customers work at
How could we leverage the data 
we already have to create new 
leads for our new product line?
First we filtered the data, to take out any public email service
Then we built the corporate tracker: 
Tracking the usage of our public site by large companies
Then we looked at the biggest users, and approached them first 
they clearly had a need for our product
To find the right person at these organisation, we used Salesloft
It allowed us to find the ideal customers quickly
Salesloft also helped us in finding the contact details easily
Cold-calling the leads would not be effective, but providing them with valuable insight 
would prove our value to them right away. Again, we got to leverage our data, by 
showing which providers were used by their employees
We measured the effectiveness of this strategy, 
by using Streak, a free tool, we got insight into opening rates 
and kept track of responses
So we first built the tool, then measured the effect, and based on what we learned, we 
improved our approach
We built a Call-to-Action that would be shown to the corporate users, to tell them about our 
new product, and made it show the companies name to increase click rates
We measured everything we could, to gain insight into the effect it had
When we noticed how effective it was, we set out to automate the way we added new 
companies to the tracker. This had previously been done manually.
And again we measured the effect, 
including which companies used us most during a certain time frame
Because showing potential customers the data we had worked, 
we decided to dig deeper. 
We added data about the number of members, reviews and more
Providing insight into this data works, but it was always based on us reaching out. 
So we built a way for users to find this themselves. 
This shifts the way we do sales from outbound to inbound
But we also built a tool to use the data in our outbound efforts
A crucial part of the process of developing new tools is to share what you learn with the 
team, so together you can improve the processes and tools even more.
Ewout Meijer 
ewout@springest.com

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NewCo presentation salestools

  • 1. Leveraging your data by building your own sales tools NewCo Amsterdam Ewout Meijer Director of Business Partnerships
  • 2. Springest, the public version of the site 3.000.000 unique visitors per year
  • 3. When you want to sell trainings, you find out that large companies are the main customers: The person taking the course, is not the one paying for it
  • 4. We built a white-label version of Springest That way, the company could pay for the courses easily, and have more control over which courses are booked. ! This also meant we had to sell B2B
  • 5. Challenge: How to effectively target this new group of potential customers?
  • 6. We solved this by sticking to three guidelines What will have the most impact?
  • 7. Proving 2 it live, even over Doing it live AKA: Prove that it can Scale or let it Fail
  • 8. 3 Focus on small, lasting, scalable improvements, even over creating a big & bold project, and especially over growth hacking.
  • 9. And we use our developers to create sales tools too, rather than just the product
  • 10. We approach all new tools, products, services and features in the same way: the build-measure-learn feedback loop If you want to learn more about this, make sure to read “the Lean Startup” by Eric Ries
  • 11. By using ASQ, an open source application, we can quickly and cheaply build sales tools
  • 12. We’ve sold lots of trainings, and gathered data on the email domains of the companies the customers work at
  • 13. How could we leverage the data we already have to create new leads for our new product line?
  • 14. First we filtered the data, to take out any public email service
  • 15. Then we built the corporate tracker: Tracking the usage of our public site by large companies
  • 16. Then we looked at the biggest users, and approached them first they clearly had a need for our product
  • 17. To find the right person at these organisation, we used Salesloft
  • 18. It allowed us to find the ideal customers quickly
  • 19. Salesloft also helped us in finding the contact details easily
  • 20. Cold-calling the leads would not be effective, but providing them with valuable insight would prove our value to them right away. Again, we got to leverage our data, by showing which providers were used by their employees
  • 21. We measured the effectiveness of this strategy, by using Streak, a free tool, we got insight into opening rates and kept track of responses
  • 22. So we first built the tool, then measured the effect, and based on what we learned, we improved our approach
  • 23. We built a Call-to-Action that would be shown to the corporate users, to tell them about our new product, and made it show the companies name to increase click rates
  • 24. We measured everything we could, to gain insight into the effect it had
  • 25. When we noticed how effective it was, we set out to automate the way we added new companies to the tracker. This had previously been done manually.
  • 26. And again we measured the effect, including which companies used us most during a certain time frame
  • 27. Because showing potential customers the data we had worked, we decided to dig deeper. We added data about the number of members, reviews and more
  • 28. Providing insight into this data works, but it was always based on us reaching out. So we built a way for users to find this themselves. This shifts the way we do sales from outbound to inbound
  • 29. But we also built a tool to use the data in our outbound efforts
  • 30. A crucial part of the process of developing new tools is to share what you learn with the team, so together you can improve the processes and tools even more.