Prepare your next client email review with questions about MailerLite campaign clicks, automation emails and form conversions. Connect MailerLite to Catchr, select the relevant account and use Catchr MCP to query connected data in ChatGPT or Claude.
Start by discovering available fields, then choose the columns that answer your client's question.
“Compare paid media performance across my client accounts and flag the biggest changes.”
MailerLite
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GA4
Used by the world's leading companies
Build your review around the email activity you need to explain. Discover the available MailerLite fields before querying, and keep campaign, automation and form results at their respective reporting levels.
Review campaign click rate, click-to-open rate, total clicks and unique clicks. Select available columns such as campaign name, ID, status and type to make comparisons useful in a client report.
Choose dates deliberately. Campaign creation, scheduling, start and finish dates describe different events; a campaign creation window does not establish when its clicks occurred.
Inspect available automation step email metrics, including sent volume, opens, clicks and unique clicks. Open and click rates help you identify emails worth reviewing with your client.
Add hard bounces, soft bounces and spam counts or rates for delivery context. Discover available identifying columns before requesting a breakdown by automation step email.
Use form conversion count and conversion rate to review signup performance. Discover the available form columns and select those needed to distinguish the results.
For a separate audience review, explore available group, segment or subscriber click metrics. Keep these results separate from form conversions unless a compatible relationship is established; the metrics alone do not show which form produced an engaged subscriber.
A focused campaign investigation, a recurring client report and a question before a client call each need a different approach. Choose the method that fits the MailerLite answer you need.
Use a report to present a consistent set of MailerLite metrics, and Catchr MCP to investigate specific questions around those results. In either workflow, keep the account, reporting level and date basis explicit.
Connect MailerLite to Catchr using an API key and select the relevant account. Choose ChatGPT or Claude through Catchr MCP as your destination, then discover the available MailerLite entities and fields.
Select the columns you want to query and specify any supported filters. Begin with campaign clicks, automation email delivery or form conversions, depending on the client question.
Replace the bracketed values with your account, dates and review thresholds. Each prompt starts with field discovery so the query uses columns available for your connected MailerLite account.
Using Catchr, discover the available MailerLite campaign fields for [account]. Use [selected campaign columns], including campaign name, status, click rate, click-to-open rate and unique clicks where available. For campaigns created between [start date] and [end date], list those with a campaign click rate below [threshold] and sort by click rate. Label the window as campaign creation dates and do not describe the click totals as clicks occurring within that window.
Copy promptUsing Catchr, discover the automation step email metrics and identifying columns available for MailerLite [account]. Use [selected identifying columns] to show sent volume, open rate, click rate, hard bounce rate, soft bounce rate and spam rate where available. Which results exceed [hard bounce rate threshold] or [spam rate threshold]? Show the supporting values and identify emails to review without inferring the cause.
Copy promptUsing Catchr, discover the available form fields for MailerLite [account]. Use [selected form columns] with form conversions count and form conversion rate. Which form results fall below [conversion rate threshold]? Sort them by conversion rate and show conversion counts alongside each result. State whether the available fields support a date filter before applying [start date] to [end date].
Copy promptUsing Catchr, discover the available group fields for MailerLite [account]. Use [selected group columns] with group click rate and group clicks count where available. Which group results have a click rate below [threshold]? Show a comparison table with both metrics and draft client discussion points based only on the returned values. Keep each group result separate and do not sum results across groups.
Copy promptConnect MailerLite to Catchr with an API key, select the relevant account and choose ChatGPT through Catchr MCP. Discover the available fields, then select the columns needed for your first campaign, automation email or form query.
Available fields include campaign click metrics, automation step email engagement and delivery metrics, form conversion metrics, and group, segment or subscriber click metrics. Discover the fields for your connected account before choosing a breakdown.
Choose the date that matches your question: creation, scheduled, started or finished dates describe different campaign events. Filtering by campaign creation date selects campaigns created in that window; it does not establish when their clicks occurred.
You can review these metrics separately. Linking them requires compatible identifying fields and a verified relationship in the available data. Do not assume that form conversions can be attributed to group or subscriber engagement from the metrics alone.
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