Test

What’s the best way to reach and engage potential e-bike resellers?

3.3k participants

Setup

The focus of the test was how buyer positioning motivates potential e-bike resellers. To that end, the two assets were designed to test performance across the following A/B split:

  • AMessaging that foregrounds the act of selling
  • BMessaging that foregrounds the potential buyer

Test Results

Attention Share and Engagement Share reflect the percentage of test-wide scoring accounted for by individual variants or demographics. Read more below in the Methodology section.

Sample Size
Total: 3,349 Gender: Male: 2,340 Female: 809 Age: 18-24: 344 25-34: 822 35-44: 822 45-54: 708 55-64: 371 65+: 179
Sell Your Bike Wants To Buy
Attention Share

This measures the likelihood that a message will capture eyeballs in the wild. Read more in the Methodology section below.

49% 51%
Engagement Share

This measures the likelihood that a message will elicit a meaningful reaction from the audience. Read more in the Methodology section below.

45% 55%

Aggregate Insights

Buyer-focused messaging produced slightly more attention at the top of the funnel and materially more engagement deeper down the funnel.

The strength of engagement around buyer-focused messaging relative to its attention score suggests that the reputability of the potential buyer can drive potential sellers to act.

Further testing could investigate whether a more specific buyer-focused message — e.g., 'Upway will buy your used e-bike for X% more' — creates more attention and engagement than the more general message.

Gender-based attention and engagement shares reflect the relative attention or engagement per gender for each variant. Read more below in the Methodology section.

Sample Size
Total: 3,349 Gender: Male: 2,340 Female: 809 Age: 18-24: 344 25-34: 822 35-44: 822 45-54: 708 55-64: 371 65+: 179
Sell Your Bike Wants To Buy
Attention Share

This measures the likelihood that a message will capture eyeballs in the wild. Read more in the Methodology section below.

Male
29% 32.8%
Female
21.8% 16.4%
Engagement Share

This measures the likelihood that a message will elicit a meaningful reaction from the audience. Read more in the Methodology section below.

Male
23.7% 23.8%
Female
18% 34.5%

Gender Insights

Female participants paid moderately more attention to the sell-focused messaging while engaging much more readily with the buyer-focused messaging.

Male participants paid roughly equal to attention and demonstrated roughly equal engagement with both messages.

Further testing could target the female audience with more specific buyer-focused messaging — e.g., 'Upway will buy your used e-bike for X% more' — to determine whether specificity closes the attention gap and/or heightens the engagement preference vs. sell-focused messaging.

Age-based attention and engagement shares reflect the relative attention or engagement per age bracket for each variant. Read more below in the Methodology section.

Sample Size
Total: 3,349 Gender: Male: 2,340 Female: 809 Age: 18-24: 344 25-34: 822 35-44: 822 45-54: 708 55-64: 371 65+: 179
Sell Your Bike Wants To Buy
Attention Share

This measures the likelihood that a message will capture eyeballs in the wild. Read more in the Methodology section below.

18-24
3.9% 6.9%
25-34
7.4% 9.7%
35-44
7% 7.4%
45-54
8% 4%
55-64
6.7% 9.2%
65+
10.4% 19.2%
Engagement Share

This measures the likelihood that a message will elicit a meaningful reaction from the audience. Read more in the Methodology section below.

18-24
7.3% 5.7%
25-34
3% 9.5%
35-44
2.3% 4.1%
45-54
7.9% 1.6%
55-64
6.7% 10.7%
65+
16.2% 24.9%

Age Insights

With a smaller sample size, the 65+ group paid significantly more attention to and engaged much more readily with both messages when compared to other cohorts, with a strong preference for the buyer-focused message.

Only the 45-54 age group demonstrated both an attention and engagement preference for the sell-focused message; among other age groups, the only preference for the sell-focused message was seen in engagement among the 18-24 group.

Further testing could specifically target the 65+ group to determine which aspect of the buyer-focused message is most appealing — e.g., convenience of the sales process, reliability of payment, etc.

Methodology

This test was conducted with two message variants and a prequalified TCD audience of 3,349 likely adopters. Among those participants, 5.2% paid measurable attention to the test assets, and 1.9% registered measurable engagement.

Attention Score measures the likelihood that a message will capture eyeballs in the wild. It’s calculated using the rate at which test participants respond to a CTA to learn more about the subject.

Engagement Score measures the likelihood that a message will elicit a meaningful response from the audience. It’s calculated using a proprietary algorithm that weights measurable metrics — shares, saves, likes, etc. — in a way that has proven to be meaningfully correlated (r > .5) to real-world conversion behavior.

Attention Share and Engagement Share reflect the percentage of test-wide scoring accounted for by individual variants or demographics. For example, an engagement share of 25% means the variant or demographic in question accounted for 25% of the cumulative engagement score produced by all segments in the test.

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