What changed for the marketing team
A large marketing team used ChatGPT Work to reshape core marketing tasks. The focus was not just on creating content, but on improving conversion in the lead funnel, producing campaign assets more efficiently, and automating reporting.
Where it created practical impact
- Fewer drop offs in the lead funnel as the team applied ChatGPT Work to support their core marketing process
- Campaign asset creation, including producing materials for campaigns with less manual effort
- Reporting automation, so routine updates and summaries were handled as part of the workflow
Takeaway for UK businesses, treat AI as a workflow change, measure funnel and reporting outcomes, and start with one repeatable process your team runs every week.
How to apply this in your own operations
If you run marketing operations or customer facing demand generation, start by mapping the steps where prospects currently drop off, then identify which parts can be supported by an AI assisted workflow. Next, define what “asset creation” means in your context, for example drafts, variants, or structured outputs, and ensure the output format plugs into your existing campaign process. Finally, target reporting automation by listing the reports your team produces regularly and the inputs they depend on, then build an AI powered flow that updates those outputs consistently.
What to do next, a simple adoption plan
- Pick one stage in your lead funnel and one campaign asset workflow to improve first
- Set a baseline for drop offs and time spent on asset creation and reporting before changes
- Run a short trial with clear owners for marketing operations and data quality
- Evaluate results on funnel performance and reporting cycle time, then expand to the next workflow