MailSmart

Mail promotions can be tricky, and companies can often struggle to determine where to direct mailer promotions.

Mailsmart alleviates this struggle by utilizing AI technology to determine your optimal Mailer List — based on who is most likely to spend the most amount of money by receiving a promotion.

Given certain parameters, such as discount percentages or the month of the campaign, MailSmart predicts the uplift of a discount campaign and recommends which leads are going to generate the largest spend.

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Self-learning Technology

MailSmart AI technology identifies a series of attributes that are most significant in determining the likelihood of customer conversion in a Direct Mailer campaign. The significance of each attribute is sensitive to changes in customer behavior.

Quick Customer List Generation

Choose key parameters and generate an optimal list of customers for your direct mail campaigns.

Analyze Results In Real-Time

Access key campaign metrics. Conversion data, expected uplift, and target customer profiles are available at your fingertips.

Shopify Connector

MailSmart automatically connects with your Shopify Store, retrieving data about your past customer behaviour to drive insights.

Technologies used

Azure
Microsoft SQL Server
Python
Random Forest
Serenity

.NET Core
TypeScript
HTML
CSS

How MailSmart Works

Training

Our AI is trained by first loading and warehousing data from e-commerce platforms. Machine learning models are then trained to predict the uplift per customer as a result of discount campaigns based on historic customer data.

Historic consumer data including past spending behaviour, demographic information, and propensity to spend is ingested to generate predictions.

Prediction

By loading and warehousing the latest leads data from e-commerce platforms and applying previously trained machine learning models, MailSmart AI generates the optimal customer list to receive your mailer.