- Keeping on top of performance. How is revenue tracking this week? Which publishers are earning the most? Why did fill dip on Tuesday?
- Checking the health of your setup. Are there any tag errors? Is anything missing from ads.txt? Are there onboarding steps still to finish?
- Finding your way around. What does eRPM mean? Where can I see revenue by demand partner? How do I set up a new ad stack?
Asking Spark a question
You’ll find Spark wherever you are in Fusion. Click the Spark button in the bottom-right corner of any page to open a chat, or presscmd+k (mac) or ctrl+k (windows) to open search, type your question and choose Ask Spark. If your search doesn’t match any pages, just hit enter and Spark will take it from there.
Spark opens as a sidebar by default. If you’d rather it floated over the page, or took over the whole screen with your chats listed alongside, switch it with the display mode button at the top of the chat. On smaller screens, Spark always opens full screen.
Not sure where to start? Each page suggests a few questions to get you going, such as Explain this page or Summarise this page. Spark always knows which page you’re on, including any filters you’ve applied, so you can simply ask “How does this compare to last month?” and it will know exactly what you mean.
What Spark can (and can’t) do
Spark is here to look things up and explain them, so it won’t make any changes to your account. If you ask it to create, change or delete something, it will point you to the right place in Fusion and walk you through the steps so you can do it yourself. Spark also sees exactly what you can see, and nothing more. It answers for the organisation you’re working in at the time, and can’t see data belonging to anyone else.Like all AI, Spark can occasionally get things wrong, so it’s always worth
double-checking important figures before acting on them. Its answers link to
the relevant pages in Fusion to make that quick and easy.
Getting the most from Spark
A few tips to help you get great answers:- Be specific. The more Spark knows, the better. “What was eCPM for example.com last week?” will get you further than “How are we doing?”
- Keep the conversation going. Spark remembers what you’ve talked about, so follow-ups like “And the week before?” or “Break that down by ad unit” work a treat.
- Narrow down the big ones. Questions that cover every publisher in a large network take a little longer. If an answer is slow, or only covers part of what you asked, try narrowing it to a publisher, a date range or a metric.