Overview

Non-Incremental Conversions are sales or actions that would have occurred regardless of specific marketing efforts, not directly driven by the campaign.

What is Non-Incremental Conversion?

Non-Incremental Conversion refers to a sale or action that happens independently of a specific marketing effort. These conversions occur due to existing brand loyalty, habitual purchases, or organic traffic, rather than the influence of targeted advertising or promotional campaigns.

Formula

There isn’t a specific formula for calculating non-incremental conversions, but they are typically identified by comparing conversion rates in test and control groups where the test group is exposed to the marketing effort, and the control group is not.

Example

For example, a customer might purchase a product from a favorite brand without seeing any new advertisement or promotion. If a marketing campaign is running simultaneously, this purchase would be considered a non-incremental conversion because the customer would have made the purchase regardless of the campaign.

Why is Non-Incremental Conversion important?

Non-Incremental Conversions are important because they help marketers understand the true impact of their campaigns. By distinguishing these conversions from incremental ones, businesses can more accurately measure the effectiveness and ROI of their marketing efforts. This differentiation is crucial for allocating marketing budgets effectively and focusing on strategies that genuinely drive additional sales.

Which factors impact Non-Incremental Conversion?

Several factors can influence non-incremental conversions, including brand loyalty, customer habits, and organic search traffic. Understanding these factors helps businesses refine their attribution models and identify genuine incremental growth driven by marketing activities.

How can Non-Incremental Conversion be improved?

To minimize the impact of non-incremental conversions in campaign analysis, marketers can use controlled experiments like geo-testing or holdout tests to isolate the effect of their marketing efforts. Regularly reviewing and adjusting attribution models can also help ensure more accurate measurement.