Weekly ClickFunnels performance report emailed to you

Every Monday morning, get a plain-English email summing up last week's ClickFunnels revenue, orders, new leads, top products, and best-performing funnels.

Agentic Task
ClickFunnelsGmailMarketingSalesAI ReportsDaily DigestsEmail Automation
PromptCreate

Every Monday at 8am, build a weekly performance report for my ClickFunnels business and email it to me.

Pull the last seven days of data from ClickFunnels. Use List Orders to get every order placed in the last seven days, and List Form Submissions to get the new leads captured in the same window. Also pull my funnels with List Funnels and my catalog with List Products, so you can attribute sales to the right funnels and name the best-selling products.

ClickFunnels list endpoints return 20 records per page with cursor pagination, so page through the full seven days rather than stopping at the first page. Advance with ?after=<last id> or follow the Pagination-Next response header, and use filter[<attribute>] plus sort_order=desc to narrow to the date range and get the newest records first. Expect to make several calls for orders and submissions.

Then write a clear narrative report covering total revenue, order count and average order value, new lead volume, best-selling products, and which funnels drove the most sales. Add a few plain-language insights and recommendations a marketer can actually act on.

Where the data allows, also pull the prior seven days and compare, so the report calls out what went up or down week over week for revenue, orders, average order value, and new leads. Keep the tone useful for a non-technical marketer rather than a data analyst: short paragraphs, plain language, and no jargon.

Email the finished report to me with Gmail using Send a Message. Use a clear subject line such as "Weekly ClickFunnels report" plus the date range, and put the narrative in the body.

Let me set the recipients, the day and time it runs, and any specific funnels or products to spotlight in the report.

What does this prompt do?

  • Every Monday morning, pulls last week's orders and new leads from your ClickFunnels business, along with your funnels and product catalog.
  • Writes a clear, narrative summary covering total revenue, order count, average order value, and new lead volume, no spreadsheets required.
  • Highlights your best-selling products and the funnels that drove the most sales, with a few plain-language insights and recommendations.
  • Compares against the prior week so you can see what went up or down, then emails the finished report straight to your inbox.

What do I need to use this?

  • A ClickFunnels account with recent orders, funnels, and form submissions.
  • A Gmail account to send the report from.
  • The email addresses that should receive the weekly report.

How can I customize it?

  • Change the day and time it runs (the default is Monday at 8am).
  • Set who receives the report, whether that's just you or your whole marketing team.
  • Spotlight specific funnels or products you want called out every week.

FAQs

When will the report arrive?
By default it runs every Monday at 8am and lands in your inbox shortly after. You can change the day and time to whatever fits your week.
Does it compare against the previous week?
Yes. Wherever the data allows, it looks at the prior seven days too and calls out what went up or down, so you can spot trends at a glance.
Do I need to be technical to read it?
Not at all. The report is written in plain language for marketers and business owners, focusing on what happened and what to do next rather than raw numbers.
Can I send it to more than one person?
Yes. Add as many recipients as you like, so your whole team gets the same weekly snapshot.
Will it show my best products and funnels?
Yes. It names your best-selling products and the funnels that drove the most sales, so you know where your revenue is really coming from.

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Stop pulling your ClickFunnels numbers by hand.

Get a clear weekly performance report in your inbox every Monday, written for marketers instead of data analysts.