Churn Prediction

NGO

(1 – 2 minut read)

Situation:

Here at Allyy.io, we are lucky enough to get to support quite a few NGOs and Health Organisations with the noble cause of providing more people aid. 

As we are currently in the process of onboarding, supporting campaigns, and gathering results, we cannot be specific with results just YET. However – we are very well underway and here are some of our findings so far.

Complication:

In the NGO world running campaigns is a very complex endeavour.

They run campaigns for acquisition of donors, to increase the value of donations, and to retain donors, all this has to be cross referenced on which channel to use. Email, Telemarketing, Direct Mailing, SoMe or just a regular text message?

Try imagining if you had to figure out the amount of possible combinations in a spread sheet.

– That should give a good mental image of the complexity.

But we are not done yet. Let us add the data and system landscape into the mix. Data is spread between CRM system, Marketing Automation, CDP, and Telemarketing Systems.

Pictura data being this wide-spread – traditional business rules in selecting donors to campaigns becomes equally complicated and with this difficult to scale.

As a result of this, most NGO’s are leaving an untapped potential in fundraising.

Change, while necessary, can sometimes be very hard to grasp.

Opportunity:

One opportunity for our clients would be to hire more people: Data scientists to build models, additional Marketing Automation people and fundraising project managers to handle an increasing complexity. A solution, that reduces the efficiency of the organization and takes money away from those in need.

So is that the most efficient way to reach the goal? And what if it is difficult to find good people, what if said people leave, or what if the budget doesnt allow for these expensive experts?

Well.. that is where a more “lean” method comes into the picture (added outcome from fewer resources).

Our NGO clients use Allyy.io to;

  • optimize target segments to their sales & loyalty campaigns (better outcome) and
  •  do it automatically, with less effort compared to if more people had to do the same (fewer resources).

Resolution:

We already have some numbers, but will update as we have more available. 

The precision of Allyy.io’s models across the NGOs we work with is more than 85%! 

This means that if you “asked” Allyy.io whether a specific donor would e.g. donate to an SMS campaign, Allyy.io will predict correctly in 85% of the cases. Talking about “lean”: Our clients can execute new use cases within weeks – not months or even years for comparable IT and data science projects.

Here are some other examples of fundraising optimization with Allyy.io:

  • Sales audience in Telemarketing: Identify the donors who are the most likely to donate more in Telemarketing – and increase conversion

  • Sales audience for Direct Mailing: Identify the donors who are the most likely to respond to a Direct Mail campaign – and increase responses

  • Sales audience in SMS: Identify the donors who are the most likely to donate more by responding to an SMS – and thus avoiding fatigue from those who are not likely to respond anyway

  • Loyalty audience in Telemarketing: Identify the donors who are the most likely to churn, and proactively contact them in Telemarketing

Want to learn more and hear what we can do for your use case? Fill out the form and one of our team members will be in touch with you.

Want to learn more

– and hear what we can do for your use case?