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Framework

When purchase intent predicts sales: six conditions

Framework of six conditions under which stated purchase intentions predict real sales best, from Morwitz, Steckel and Gupta's meta-analysis
Check your study against these before you treat an intent score as a forecast Source: Morwitz, Steckel and Gupta, International Journal of Forecasting, 2007

A framework of the six conditions under which stated purchase intentions are most closely linked to later purchases, taken from a meta-analysis by Vicki Morwitz, Joel Steckel and Alok Gupta. Use it before reading a concept test or price test as a forecast: a new, non-durable product asked about far ahead sits at the weak end of most lines. Koji pairs every intent rating with a follow-up asking why, so you can see what sits behind the number.

Where this appears

What's in this framework

  1. Existing products: Intent tracks sales more closely for products people already know than for new ones.
  2. Durable goods: The link is stronger for durables, such as cars and appliances, than for non-durables.
  3. Short time horizons: The nearer the purchase window, the better stated intent predicts it.
  4. Brand-level questions: Asking about a specific brand predicts better than asking about the whole category.
  5. Trial, not total sales: Intent predicts whether people try a product better than it predicts total market sales.
  6. Comparative questions: Intent collected in a comparative mode predicts better than a rating given in isolation.

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<a href="https://www.koji.so/visuals/purchase-intent-predicts-sales-six-conditions"><img src="https://www.koji.so/visuals/purchase-intent-predicts-sales-six-conditions/purchase-intent-predicts-sales-six-conditions.png" alt="Framework of six conditions under which stated purchase intentions predict real sales best, from Morwitz, Steckel and Gupta's meta-analysis" width="1080" height="1080" /></a>
<p>Source: <a href="https://www.koji.so/visuals/purchase-intent-predicts-sales-six-conditions">When purchase intent predicts sales: six conditions</a>, Koji</p>