In my experience, the hardest part of experimentation often isn’t the tool itself – Adobe Target is powerful and flexible – but the context it lives in.
For some organizations, the blocker is the data foundation: experiments become guesswork if the right data streams aren’t stitched together, or if audiences aren’t well-defined.
For others, it’s the organization: running tests is easy, but aligning teams, stakeholders, and processes around experimentation can be painfully slow. I’ve seen companies where the bottleneck wasn’t in setting up a Target activity, but in getting approval to launch it.
I’m curious: what’s the toughest challenge you’re facing right now when it comes to running experiments in Adobe Target?
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Is it data (getting the right foundation in place)?
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Is it organizational (building trust and speed in decision-making)?
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Or is it something entirely different?
Would love to hear how you’re tackling it — and maybe we can all steal a few ideas from each other