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Marketing and sales
Where are our customers looking now?
You want to know whether ChatGPT Ads fits your offer and how to compare the channel fairly with existing campaigns. Upsider assesses the fit, sets up a pilot and uses the same conversion definition.
Customers are researching through ChatGPT and the leadership team asks what your team is doing about it.
- Measurable
- The same conversion definition you use for Google and Meta, so you can compare channels carefully.
- Decision
- Four weeks of measurement from go-live, then a decision to stop, adjust or scale up.
- Delivery
- Upsider sets up the campaign, writes the ads and makes weekly adjustments.
- Next step
- Consider where AI could help your own marketing process through training or a process review.
For your role
Choose where to begin
- MarketingGo to the ChatGPT Ads scan
We assess whether advertising on ChatGPT fits your offer and set up a campaign with an agreed measure of success.
- TrainingExplore AI training
We tailor training to each role using your tools and cases. An intake shapes the programme; a practice assignment shows what people apply.
- OperationsRequest a process review
We review one process, choose a suitable application and agree what a pilot must measure before you decide on the next step.
- StrategyExplore AI strategy
We map opportunities and agree who decides, what you measure and when. Start with a leadership session or an opportunity map.
For your role
Marketing and sales
- Does ChatGPT Ads fit our offer?
- The ChatGPT Ads scan assesses this. Within two working days, you receive an online report with three questions customers may ask ChatGPT, an assessment of channel fit and specific pilot advice.
- What do you need from us?
- For the scan, we ask for your website and business contact details. For a pilot, we agree the target conversion, access to the ad account and how results will be measured.
- What happens after the pilot?
- After four weeks of measurement from go-live, we review results against the agreed metrics. We advise whether to stop, adjust or scale up, taking account of the quality and limits of the data.