Artificial Intelligence Texting completely turned around one major senatorial campaign’s text message deliverability and spam rates in the 2020 cycle.
Artificial Intelligence Texting Saved the Day
This past year, our client’s team was in trouble. They, along with so many others, had the odds stacked against them due to COVID-19 restrictions making traditional campaigning impossible. In order to adapt to the new landscape, the team turned to the most modern outreach channel available: peer-to-peer (P2P) texting. While this channel had proven to be the most visible and impactful way to get their message out, the campaign quickly discovered a new challenge: they did not know how to use the text messaging channel effectively.
However, common mistakes were made because they were unfamiliar with the P2P texting best practices. Their message copy was stale and had a repetitive tone likely because they took their message copy straight from campaign emails. People don’t text the same way they email and they don’t respond well when a text comes across as impersonal. Not only was our client’s team annoying their audience by sending poorly written messages, but a considerable amount of their outgoing texts were also being caught in spam filters at the phone carrier level, leaving thousands of messages undelivered.
Seeing this, they came to our team for help. And so, enhanced artificial intelligence texting was thought of to be incorporated into their campaign.
How We Incorporated Artificial Intelligence Texting
Our team turned their texting program around by tackling two major issues: message copy and message multiplication.
To level up their message copy, we coupled our expertise in P2P text message writing with artificial intelligence texting. To help them reach their consumers better, we did a few things. First we re-wrote each of their messages, humanizing them with casual language and recipient personalization. Then, we used conversational artificial intelligence technology to produce 58 unique messages, with 10-12 variations of each re-written message so we had multiple unique versions. The AI technology analyzed each message and replaced both words and phrases with language it learned from both our team and its native language set. This allowed us to produce variations that were based on the way people actually text each other, which led to more effective messaging.
Our approach to fixing their audiences was more straightforward, but also effective. The campaign originally split up their full list into groups based on wide targeting demographics like age range, donors, early voters, etc., but the problem was that these lists were over half a million people large. In order to fix their deliverability issues, we broke down their lists into many smaller segments, attaching the artificial intelligence-augmented message copy to each segment. Adding variety made the traffic patterns more organic.
The Result of Our Artificial Intelligence Texting
The difference our company made for them was night and day.
As a result of our team’s work with artificial intelligence texting, our client’s campaign saw as much as a 47% increase in their message deliverability and a remarkably low spam rate of 3.6% by the end of the messaging campaign. It is important to remember that messages only work if they successfully reach their recipient, and that recipient is only going to engage with the message if it’s authentic and believable.
If it were not for the contributions of our team and artificial intelligence texting, our client’s texting program would not have succeeded.