Swayable Names Jenny Wall Chief Growth Officer and Brian Lawrence Chief Revenue Officer as AI Reshapes Creative Effectiveness
Veteran marketing and sales leaders join as brands seek better ways to prove what creative works and why
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Swayable, the causal AI platform used by the world’s leading brands to predict creative impact before campaigns launch, today announced two senior executive appointments: Jenny Wall as Chief Growth Officer and Brian Lawrence as Chief Revenue Officer.
Their appointments mark a new phase for Swayable as it shifts from early adoption by data-savvy marketing and campaign teams toward broader adoption by the marketers directly responsible for creative, media investment and business outcomes. Together with the scientific expertise of Founder CEO James Slezak, Wall’s marketing leadership and Lawrence’s commercial experience give Swayable a complementary leadership team spanning science, brand and growth as the company works to establish its creative pre-testing metrics as the industry standard.
Global marketing teams from Airbnb, Amazon, DoorDash, Influential, JPMorgan Chase, L.L. Bean, Meta, The New York Times, PetSmart, and the top frontier LLM labs rely on Swayable to understand which creative will drive measurable lift, before investing media dollars. With over $20 million in annual recurring revenue (ARR) and brand revenues up approximately 60 percent year-on-year, the company has made over $50 million of investments in the build-out of its AI-native platform since 2023, funded exclusively by customer revenues. That growth comes as generative AI dramatically increases the volume and speed of creative production. Marketers can now produce more concepts and assets than ever before, creating a new challenge: determining which ideas will actually change consumer attitudes and behavior before significant production and media dollars are committed. Swayable gives marketers direct causal evidence of how creative affects brand perception, purchase intent and consideration.
Helping marketers navigate a new era of accountability
As AI accelerates creative production and marketing budgets face greater scrutiny, brands increasingly need a rigorous way to determine which ideas will actually move consumers. Swayable’s AI native platform provides rigorous, experiment‑based causal evidence that helps marketers optimize creative concepts, messaging, and campaigns with confidence.
Wall and Lawrence join Swayable to expand the company’s ability to bring that capability directly to marketers. Their appointments represent a deliberate combination of marketing, commercial and scientific expertise as creative effectiveness measurement moves beyond specialist research teams and becomes a broader requirement for brands.
Widely regarded as one of the industry’s top CMOs, Wall brings more than three decades of experience shaping brand and content strategy at the most influential media and technology companies. She has led marketing at Hulu, Gimlet (acquired by Spotify), Nickelodeon, and VideoAmp, and previously held senior creative and marketing leadership roles at Netflix, HBO, and DDB Needham. Across these roles, she has helped define the marketing strategies behind culturally iconic titles including The Handmaid’s Tale, House of Cards, and Orange Is the New Black.
“Marketers are being asked to do more with less, and I’ve been on the other side of that table — accountable to CFOs and boards for proving what marketing actually delivered,” said Wall. “I’ve also spent my career at companies that were ahead of the curve in reshaping their industries, and I see that same opportunity here. Swayable gives brands proof of what works—and I’m excited to help marketers turn that evidence into growth.”
Lawrence brings more than 20 years of experience building and scaling sales, customer success, partnerships, and solutions engineering functions at high‑growth technology platform companies including HelloSign (acquired by Dropbox), airSlate, Clazar, and Webmetrics (acquired by NeuStar). He began his enterprise software career at Oracle and holds an MBA from UC Berkeley’s Haas School of Business.
“Swayable solves one of marketing’s oldest unsolved problems: knowing which half of your budget is working before you spend it,” said Lawrence. “Brands need evidence of what will actually move consumers, not just more data after the fact. I’m excited to help bring that capability to more marketers.”
Leadership aligned to marketer needs
“Jenny and Brian bring exactly the caliber of leadership Swayable needs as we continue to scale,” said James Slezak, CEO and Founder of Swayable. “Jenny has repeatedly led marketing organizations through industry‑defining shifts, and Brian has built go‑to‑market engines that help customers adopt new technology with confidence. Together, they are exactly the leaders we need as we continue scaling adoption to serve the growing community of marketers who recognize that they need to know—with real causal evidence—which stories will truly move people.”
The leadership trio reflects a deliberate merging of disciplines for this moment: Slezak’s scientific rigor as founder, Wall’s experience disrupting how top brands connect with audiences, and Lawrence’s track record scaling enterprise sales. Together, they give Swayable the leadership it needs to carry causal creative measurement from early adoption to industry standard.
About Swayable
Swayable is the industry gold standard for creative pre-testing. The causal AI platform is used by the world’s leading marketing organizations to measure the impact of their content and messaging. Global brands including Airbnb, Amazon, DoorDash, Influential, JPMorgan Chase, L.L. Bean, Meta, The New York Times, PetSmart and top frontier LLM labs use the platform to measure the impact of their messages on real consumers. Brands that use the platform unlock 2–10x more campaign ROI by applying lift measurement insights across all stages of campaign development.
For more information, visit swayable.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260918596814/en/
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