The trade-off every demand gen team knows
Every demand gen team knows it should be speaking to each buyer persona individually. Almost none can. Producing true persona-specific creative, briefed, written and localised at real scale, has always meant weeks of agency time and a budget nobody was going to approve. So teams compromise: broad segments stand in for personas, one asset gets stretched across too many readers, and relevance is traded for reach.
The EMEA marketing team at a global enterprise CX software provider hit that wall directly. Six campaigns. Four buyer personas. Five languages across their EMEA markets. The ambition was simple to state and, until now, impossible to execute: speak to each persona in the language of what actually moves them.
Ada made it possible to do both.
Understanding comes first
Ada’s advantage sits before a single word gets written. It’s as much a perspective engine as it is a content platform: before producing anything, it profiled each of the four personas. Not just job titles, but how each one actually thinks and decides. The pressures they’re under. The psychology behind their choices. What would genuinely change their behaviour. That understanding was matched against a library of nearly 400 validated behavioural models to identify, persona by persona, which specific levers would actually move that reader. That’s the difference between describing an audience and knowing how to reach them.
From that understanding, Ada built each persona’s message two ways: one case built on protecting what they’d already achieved, one built on what they stood to gain. Two genuinely different arguments for the same reader, tested against each other, not two headlines wrapped around the same pitch.
From understanding to channel-ready creative
Ada then wrote the content itself: ads, emails, landing pages and more, each one built for a specific persona, message and buying stage. Every version was written natively in each of the five languages, including British English, German and French. Not translated, but created as if a local expert had written it for that market, in that market’s own tone and reference points. LinkedIn ads and display arrived in the client’s own brand templates; landing pages and nurture emails matched their existing content guidelines. The team received finished, channel-ready assets, not a document of headlines for someone else to place, and nothing that read like it started life in English.
What that meant at scale
That’s roughly 400 unique assets per campaign, across six campaigns running at once. More than most enterprise teams produce in a year. And the scale didn’t slow anything down: campaigns still reached market 65% faster than the team’s usual process.
“Ada let us do what we’ve always known we should: speak to each persona in the language of their actual motivations. We just couldn’t act on it before. Not across six campaigns and five languages.”
— Senior Campaign Manager, EMEA
What changed when relevance scaled with it
LinkedIn paid social CTR moved from a 0.50% baseline to a 3.00% average, a six-times lift, peaking at 5.73% on the strongest creative. Display CTR improved 67%. Average uplift across every channel reached +283%.
The effect reached past the ads themselves. Nurture emails held engagement well beyond first touch, and the campaigns picked up 1,500+ new social page follows, a result nobody had set out to measure.
What this means for demand gen
Every demand gen team knows it should target personas individually.
The production economics have simply never allowed it. Until the content itself stops being the constraint.
See what Ada would do with your next campaign brief.
