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Insert Large Numbers Near Prices
Price Design

Insert Large Numbers Near Prices

Large numbers can make nearby prices feel smaller.

Customers evaluate prices by comparing them to other numbers.

For example, a street vendor switched the price of their sweatshirt between $10 and $80 every 30 minutes. When the sweatshirt was $80, customers bought more CDs at an adjacent vendor because the CDs seemed cheaper (Nunes & Boatwright, 2004).

Anchoring works with any number.

In another study, people reflected on the last two digits of their social security number. If these digits were high, they paid higher prices in a subsequent task (Ariely et al., 2003).

People who had social security numbers between 00 to 19 were willing to pay $16.09, whereas people with social security numbers between 80 to 99 were willing to pay $55.64

Therefore, show any high numbers near your price:

  • Join 2,500 happy customers
  • Earn 5,000 reward points
  • Lasts for 10,000 hours

Anchoring is flexible. Customers will:

  • Shift decimals
  • Add or remove zeroes
  • Remove negative signs

Consider 099 and 1999.

Which anchor is a better for a restaurant meal?

It depends:

  • 1999 was better near a single meal because it primed $19.99
  • 099 was better near a full bill because it primed $99

(see Koçaş & Dogerlioglu-Demir, 2020).

Ideas

  • Insert Large Bulk Quantities. Customers prefer a large quantity before the price (e.g., 70 items for $29; Bagchi & Davis, 2012). Like this example from an app:
500 coins per $1

Caveats

  • Add Visual Contrast. Large numbers need visual contrast (e.g., different color) so that your price will polarize away from it (i.e., $10 moves away from 50) instead of assimilating with it (e.g., $10 converges with 50 if these two numbers look visually similar).

  • Adaval, R., & Monroe, K. B. (2002). Automatic construction and use of contextual information for product and price evaluations. Journal of Consumer Research, 28(4), 572- 588.
  • Ariely, D., Loewenstein, G., & Prelec, D. (2003). “Coherent arbitrariness”: Stable demand curves without stable preferences. The Quarterly journal of economics, 118(1), 73-106.
  • Bagchi, R., & Davis, D. F. (2012). 29for70itemsor70itemsfor 29? How presentation order affects package perceptions. Journal of Consumer Research, 39(1), 62-73.
  • Dogerlioglu-Demir, K., & Koçaş, C. (2015). Seemingly incidental anchoring: the effect of incidental environmental anchors on consumers’ willingness to pay. Marketing Letters, 26, 607-618.
  • Coulter, K. S., & Coulter, R. A. (2005). Size does matter: The effects of magnitude representation congruency on price perceptions and purchase likelihood. Journal of Consumer Psychology, 15(1), 64-76.
  • Koçaş, C., & Dogerlioglu-Demir, K. (2020). The 1 in 1,000,000: Context effects of how numbers cue different kinds of incidental environmental anchoring in marketing communications. Journal of Business Research, 109, 536-544.
  • Nunes, J. C., & Boatwright, P. (2004). Incidental prices and their effect on willingness to pay. Journal of Marketing Research, 41(4), 457-466.

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