Proving Persuasion: A Guide to Using Creative Pre-Testing Technology
In today's world of constantly shifting news cycles, cultural moments, and consumer opinions, brands must break through the chaos with persuasive campaigns. Marketers can no longer rely on guesswork or gut instinct to inform their strategy, or they risk spending millions on creative that doesn’t work. By adopting creative pre-testing into their operations, marketing and insights teams are able to uncover the messages that truly impact consumer perceptions.
This whitepaper explores how global brands are leveraging Swayable, the gold standard for creative pre-testing, to measure what matters. Marketers are developing agile practices by using Swayable to measure brand perception metrics such as favorability, consideration, and purchase intent.
Download this guide to learn:
Why rapid randomized controlled trials (RCTs) generate the best possible evidence of lift
How AI-powered creative testing accelerates measurement and analysis
How global brands including New Balance and Thomas’ English Muffins use Swayable to inform agile marketing programs
Best practices for building a data-driven persuasion measurement program
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Trusted by brands, agencies, and campaigns
Our customers are obsessed
"Swayable is the gold standard for speed and rigor in creative testing."
- Director of Market Research, Paramount
"I don’t understand how marketing teams can
function without a tool like Swayable."
- Marketing strategy lead, Amazon
"There’s a point where science seems to cross over
to magic and Swayable has accomplished that"
- Comms lead, Brennan Center for Justice
"Wow wow wow! This is just
staggering information."
- LA COVID Comm Lead
"The ease of use has been a delightful suprise."
- Consumer insights lead, New Balance
"Really f---ing cool!"
- M&C Saatchi
Test any media
Test videos, packaging, campaign messaging, pricing, and more
Choose custom metrics
Measure brand lift, purchase intent,
likelihood to vote, and more
Segment by audience
Drill down into the responses of different segments, each with statistical significance
