LeafFilter: Data Driven Geo-Targeting Drives Sales & Efficiency

Advanced Data & Analytics

leafFilter

Print advertising delivers powerful results when targeted to your ideal customers with precision-driven campaign strategies.

Our approach uses data science to target your most profitable ZIP codes.

We compiled a dataset consisting of media circulation, inbound calls and sales in shared mail over the course of two years to ensure we had enough data to build a model that would enhance our selection methodology.

We then leveraged our data science team to build out a predictive model at the ZIP Code level using demographic and behavioral attributes to determine which ZIP Codes would drive the highest call and sale volume relative to the circulation available within the geography.

The geographies were then ranked and buys were conducted using the the top of the buyable universe.
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The results surpassed client expectations.

The model directed us to purchase the same volume of circulation as our previous methodology but increased inbound call volume and down-funnel sales volume leveraging a flat marketing budget.

As a result, marketing efficiency improved for the print channel as we rolled out this strategy for additional shared mail programs featured in the marketing plan.

12%
Lift in Qualified Inbound Calls
+20%
Lift in Sales Dollars Driven by Channel
+17%
Improvement in Marketing Efficiency

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