Campaign setup is 75% faster and coupon generation 99% faster, with no developer involved.
Altitude Sports Incentive Agent
Agent Ready Award Agentic Achievement Award
Otrium Ad Creative Agent
Campaign launch time fell about 75%, with 15% more conversions than the ads already running.
An agent researches what is tiring, what competitors are running, and what is trending, then produces the ads.
What the agent does
Reads campaign fatigue, competitor creative, and emerging trends, then produces hundreds of on-brand ad variations and sizes each one for its platform.
- 2026 Agentic Achievement Award, MACH X: Amsterdam
01
The problem
Why this exists
A marketplace carrying end-of-season stock for more than 300 brands lives on timing. A promotion that lands a week late lands against different inventory, and the window it was written for has closed.
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Otrium's growth team was not short of ideas. It was short of production capacity. Brief to launch ran about 4 weeks, and the bottleneck sat in creative rather than in strategy, because representing other people's brands sets a quality bar that a faster process is not allowed to drop below.
02
Outcomes
What changes when this is in place
- Campaign launch time fell by about 75%, from roughly 4 weeks to 1.
- Conversions rose 15% against the ads already running, click-through rose 13%, and return on ad spend improved 10%.
- A generic request now returns usable output, rather than requiring strict creative direction first. Philip Sonneveldt: "we could provide a generic request and get the right output almost immediately."
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- Platform-specific sizes come out of the same run, so adapting a concept across placements stops being a separate job.
03
How it works
Architecture
Ad Studio connects to Otrium's ad accounts, brand assets, product catalog, and performance history, so the material it reasons over is the brand's own rather than a generic model prior. Warehouse data sits in Databricks.
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The research step is what separates this from a generation tool. Before producing anything the agent analyzes campaign fatigue patterns in the current set, scans competitor creative through the Meta ad library, and identifies emerging trends. The output is a response to that reading rather than to the prompt alone.
Generation then produces hundreds of variations from a single prompt, each rendered at the sizes the destination platform expects. Brand rules constrain the output, which is the condition that lets a team representing 300 other companies use it at all.
The full customer story is published by Hightouch at https://www.hightouch.com/customers/otrium.
Open standards used
REST APIs
Tech stack
Hightouch Ad StudioHightouch Agentic CDPDatabricks
Resources
Next step
Request an intro
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Everyone credited on this solution
- HightouchAgentic CDP and creative generation
Every organization named here has a page listing the rest of its work on the Hub.
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Verification
Published case study
The detail on this page is drawn from a case study published by the contributor or the MACH Alliance. Any figures on this page are the ones that case study states.
Where this came from
Solution detail is published from the contributor's 2026 Agent Ready submission to the MACH Alliance. Submitter names and contact details are not published. Accepted in the second Agent Ready cohort. Written from Hightouch's published customer story at https://www.hightouch.com/customers/otrium. Figures and quotations are the ones that case study states.
Status: Live in productionAdded Sep 10, 2026A listing is an editorial decision, not a MACH Alliance certification.
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