Texas Public Policy Foundation

How a radical redesign with simplified copy impacted a housefile digital appeal

Experiment ID: #69183

Texas Public Policy Foundation

Experiment Summary

Ended On: 08/11/2021

As a part of the special legislative session, Texas Public Policy Foundation made an appeal around their proposed plan to lower property taxes.

The digital appeals to the housefile had been losing steam to convert donors in recent months, so they decided to test the language of the appeal and see what they could learn about the audience response.

The original email reflected a lot of policy-specific language and when graded in a readability tool, it was projected to be at a 12th grade reading level. So they developed a treatment that dramatically simplified the language and presented at a 5th grade reading level.

Research Question

We believe that simplifying the language for a housefile appeal email will achieve an increase in engagement.

Design

C: Control
T1: Treatment #1

Results

 Treatment NameOpen RateRelative DifferenceConfidence
C: Control 23.4%
T1: Treatment #1 36.2%54.5% 100.0%

This experiment has a required sample size of 99 in order to be valid. Since the experiment had a total sample size of 9,513, and the level of confidence is above 95% the experiment results are valid.

Flux Metrics Affected

The Flux Metrics analyze the three primary metrics that affect revenue (traffic, conversion rate, and average gift). This experiment produced the following results:

    54.5% increase in traffic
× 0% increase in conversion rate
× 0% increase in average gift

Key Learnings

What we found was the simplified version of the email led to a 54.5% increase in the overall open rate on the email. Diving in deeper, we were not able to secure enough traffic to validate the clickthrough rate but the treatment had a 16% increase on clicks with a 52% level of confidence. This learning can certainly be replicated and applied for future digital appeals, but can also be tested in the acquisition space to see how prospective audiences respond to simplified language compared to the housefile. We can also identify a few donation pages where we may be able to test this simplified language concept.


Experiment Documented by Rebekah Josefy
Rebekah Josefy is an Optimization Director at NextAfter.

Question about experiment #69183

If you have any questions about this experiment or would like additional details not discussed above, please feel free to contact them directly.