Tune Your Targeting
Fine Tune Your Targeting
Let MiLo Intelligence take the manual guesswork out of your segmentation strategy. Find the constituents most likely to achieve your desired outcome, allowing you to drop that next campaign with confidence.
From the Lab to Results in the Real World
The goal of every savvy marketer is to align the right message, with the right ask, in the right channel, at the right time to effectively target the right constituents. MiLo Intelligence machine learning models are designed to help find the optimal audiences for your campaigns, so you can spend less time on manual segmentation and more time getting the other message right.
From the outset of a new machine learning model build, MiLo is trained on your data. MiLo machine learning can analyze millions of data points and how they interact to find the optimal algorithm to stratify your desired population. Our team of humans then back-tests the model on several previous campaigns to ensure that the model is working perfectly.
As results are generated, we verify the model, and MiLo continues fine-tuning your custom model based on the results. The model then graduates from the lab into the real world for testing. When ready for full deployment, MiLo modeling scores can be run on a schedule or sent ad-hoc prior to each campaign.
“For me one of the most exciting parts of MiLo is the opportunity to see which data elements are “popping” in a specific model. Sometimes it isn’t even what you might have guessed – like volunteer activity or recent phone calls to the organization. When one of our MiLo models gets deployed in a campaign, we can’t wait to get back the results, feed them back into MiLo, and see what refinements can be made to improve the next deployment.”
MiLo Data Specialist
Five Steps for Effective Machine Learning Modeling
- Identify your objective.
- Feed the MiLo platform with your data to identify the best model to optimize audience selection for your particular use case.
- Back-test against previous campaigns to prove the model’s effectiveness.
- Continually fine-tune models via feedback from real-world results.
- Schedule and deliver modeling scores to meet the marketing needs of our clients.
Have a Great Idea for a New Model?
MiLo is So Much More Than RFM
In most Coop-driven models, Recency Frequency, Monetary Value (RFM), and mission affinity are the drivers behind model scoring. MiLo goes beyond RFM to make its models more predictive based on your data. MiLo Intelligence continually learns to improve its ability to effectively apply algorithms when answering the questions it is asked to solve.
Both audience response and non-response to campaigns are critical variables that inform the direction of the model. MiLo uncovers other interactions like volunteerism, email click activity, and staff interaction to help fuel the model build. MiLo also looks back at previous campaign performance.
In an increasingly competitive fundraising landscape, don’t limit your decision-making to the old models everyone uses. Let MiLo explore and uncover the data that can best help you tune your targeting through predictive outcomes.