Test

What’s the best way to market clean beauty products?

4.1k participants

Setup

The focus of the test was how brands can most effectively message and market clean beauty initiatives. To that end, the two assets were designed to test performance across the following A/B split:

  • AMessaging strategies focused on the health impact of the changes
  • BMessaging strategies focused on the environmental impact of the changes

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: 4,051 Gender: Male: 401 Female: 3,634 Age: 18-24: 81 25-34: 95 35-44: 198 45-54: 483 55-64: 1,226 65+: 1,968
Bad for Your Health Bad for the Planet
Attention Share

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

71% 29%
Engagement Share

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

68% 32%

Aggregate Insights

Messaging around health benefits produced more attention at the top of the funnel and more engagement deeper down the funnel.

The general consistency between the attention and engagement shares for both assets suggests that top-of-funnel consumer interest in health benefits is matched by genuine consumer passion as well — i.e., health wins hearts as well as eyeballs.

Further testing could evaluate the overlap between health and environmental concerns by exploring whether marrying both value props in one message produces more attention and engagement than either individually.

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: 4,051 Gender: Male: 401 Female: 3,634 Age: 18-24: 81 25-34: 95 35-44: 198 45-54: 483 55-64: 1,226 65+: 1,968
Bad for Your Health Bad for the Planet
Attention Share

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

Male
27% 4.4%
Female
48.5% 20.1%
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
32.1% 20.6%
Female
32.1% 15.1%

Gender Insights

The test population skewed toward female participants, who paid more attention overall and showed a strong attention preference for the health messaging.

With a small sample size, the male audience paid less attention than the female audience but engaged slightly more readily.

Despite an overall preference for the health messaging, the male audience demonstrated a relatively higher readiness to engage with the environmental messaging.

Further testing could target the male audience with (a) a blended value prop marrying health and environmental benefits and (b) messaging related to ingredients in more conventionally masculine products to determine whether the directional data from this sample holds true at scale.

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: 4,051 Gender: Male: 401 Female: 3,634 Age: 18-24: 81 25-34: 95 35-44: 198 45-54: 483 55-64: 1,226 65+: 1,968
Bad for Your Health Bad for the Planet
Attention Share

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

18-24
13.3% 4.1%
25-34
2.5% 2.8%
35-44
10.9% 1.8%
45-54
15.6% 5.7%
55-64
14.9% 7.6%
65+
12.7% 8.1%
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
0% 9.7%
25-34
5.6% 18.7%
35-44
2.9% 2.8%
45-54
18% 6.5%
55-64
10.1% 7.7%
65+
13.8% 4.3%

Age Insights

The test population skewed toward participants 55 and over, who demonstrated an attention and engagement preference for the health messaging.

With a smaller sample size, test participants under the age of 34 demonstrated a strong engagement preference for the environmental messaging.

Further testing could specifically target younger audiences to explore whether the directional data from this sample holds true at scale.

Methodology

This test was conducted with two message variants and a prequalified TCD audience of 4,051 likely adopters. Among those participants, 9% paid measurable attention to the test assets and 1.7% 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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