Hoe haal je belangrijke data uit je CRM?
Je hebt duizenden relaties, maar heb je ook overzicht? Als je het gevoel hebt dat alle gegevens die je hebt een complexe brij vormen, lees dan even verder. Want als je data die je al hebt slim weet te combineren, dan wordt het een stuk eenvoudiger om je doelgroepen beter te bereiken. Zo kom je er snel achter welke groepen het meest betrokken zijn of het meest doneren. En daar kun je vervolgens op inspelen met gerichte acties zoals mailings, social advertising of zelfs buitenreclame. Maar waar begin je? Hoe krijg je inzicht in je eigen data?

How to get data from your CRM
Your organization probably has a lot of data that you can't properly access. There's no good overview, and this is due to incorrect or even missing software. You probably use different applications for different tasks, which means you're essentially keeping the same data in different places, but for different purposes. This results in a lack of a complete overview. As a charity, for example, you would want donations to be linked to your CRM, so you have that data readily available. With a search function in the CRM, you can distinguish and find donors based on all characteristics filled out on their contact card. Once you have found the right donors by searching and combining characteristics, you can create selections. These selections can be based on one or more characteristics. They can ultimately be used as, for example, a mailing list, such as a selection of all female donors over 50 in your database.
What I can do with dataa
From the data you now have insight into, you can start drawing conclusions. For example, do many donors come from a certain area? Do older or younger people give more, or only older people from a specific town? With this data, you can carry out more targeted fundraising activities. For instance, target Facebook ads in the town where the average donation is highest, or start outdoor advertising in that location.
There are countless data points you can respond to. And the funny thing is, you've had this data in-house for years! You only gained proper insight since acquiring the right software. So consider carefully:
What worked today may not work tomorrow!