Stop guessing who your next customer will be. Alesco’s Machine Learning and Predictive Analytics transforms raw historical data into a forward-looking acquisition engine, analyzing thousands of variables to build high-converting lookalike profiles.
THE POWER OF PREDICTIVE INTELLIGENCE
Traditional marketing relies on demographics; intelligent marketing relies on intent. Our analytics suite moves beyond basic segmentation to help you understand not just who your customers were, but who they will be. By leveraging thousands of external data points, we build custom models that score every prospect in your database based on their likelihood to convert.
The platform optimizes your acquisition, upsell, and retention campaigns, enabling you to cost-effectively obtain more customers and maximize their value. This approach generates results that are 15%-30 % greater than traditional segmentation models.
CORE MACHINE LEARNING & PREDICTIVE MODELING SOLUTIONS
- Predictive Look-alike Modeling: Analyze your top 10% of customers to find identical matches across our nationwide master database for highly scalable direct mail and digital campaigns.
- Response Propensity Scoring: Grade prospect files using algorithmic weighting, focusing your campaign spend exclusively on the segments with the highest likelihood to convert.
- Customer Clustered Segmentation: Group your customer database into distinct behavioral clusters, allowing your creative team to tailor copy for completely separate buyer personas.
- Churn & Retention Analytics: Isolate behavioral data markers that indicate a customer is at risk of leaving, allowing you to trigger automated retention direct mail or digital ads first.
SCALABLE INSIGHTS, INTEGRATED WORKFLOWS
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Seamless CRM Enrichment: Our model scores flow directly into your CRM for immediate action
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No “Black Box” Analytics: We provide transparent reporting and clear insights so you understand the “why” behind every prediction.
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Continuous Learning: As your campaign data rolls in, our models refine themselves, getting smarter and more accurate with every iteration.
Machine Learning for Direct Mail Marketing
What is it and how does it work?
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If you are struggling with disappointing results from your direct mail programs, machine learning could be your ideal solution. Learn how this type of artificial intelligence is transforming our client’s marketing programs.
HOW OUR PLATFORM WORKS
We gather thousands of pieces of data for every client project, aggregating your campaign histories and customer responses with our in-house databases, which include demographic, socioeconomic, psychographic, and buyer/donor behavior data on every household and firmographic details on every business in the country.
Our machine learning platform churns through the data on a massive scale, analyzing thousands of combinations of variables in sub-second intervals. It then creates highly complex algorithms to isolate high-value prospects wherever they may be found within the data set. This approach allows us to identify prospects that aren’t typically found via traditional models and produce higher overall universes of viable prospects. Moreover, the platform gets “smarter” over time as new instances of promotions and responses are analyzed, which increases response rates and helps to overcome list fatigue.
Regardless of your level of sophistication and wherever you’re at on the analytics spectrum, we encourage you to discover what machine learning can do for your organization.
Frequently Asked Questions (FAQ)
What is a propensity model in marketing?
A propensity model is a statistical score that predicts the likelihood of a person performing a specific action, such as making a purchase or opening an email, based on their past behavior and demographic data.
Do I need a large dataset to use machine learning?
While more data is generally better, Alesco can leverage our databases to “fill the gaps” in your first-party data, allowing us to build accurate models event with smaller internal datasets.
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