MACHINE LEARNING & PREDICTIVE ANALYTICS

Turn Data into Better Insights

Stop looking in the rearview mirror. Alesco’s advanced machine learning models analyze your historical data to predict future customer behavior, ensuring every marketing dollar is spent on high-probability conversions.

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.

Custom Analytics Solutions for Measurable Growth

  • Look-alike Modeling: We identify the “DNA” of your best customers and find millions of prospects who share those exact characteristics across our nationwide database.

  • Propensity to Purchase: Rank your leads by their likelihood to buy, subscribe, or churn, allowing your team to focus resources on the most profitable opportunities.

  • Customer Lifetime Value (LTV) Prediction: Identify which customers will provide the most value over time and tailor your acquisition costs accordingly.

  • Response & Conversion Modeling: Optimize your channel mix by predicting which customers are most likely to respond to email, direct mail, or digital ads.

Scalable Insights, Integrated Workflows

  • Seamless CRM Enrichment: Our model scores flow directly into your CRM for immediate action

  • No “Black Box” Analytics: We provide transparent reporting and clear insights so you understand the “why” behind every prediction.

  • 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.

Ready to Get Started?

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