Prepare your next client call with a clear view of Brevo email performance. Connect Brevo (ex SendInBlue) to Catchr, then use ChatGPT or Claude through Catchr MCP to explore campaign delivery, opens, clicks, and unsubscriptions.
For freelancers and agencies, campaign names, subjects, tags, and sent dates give those numbers the context needed for useful client conversations.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Brevo (ex SendInBlue)
Google Ads
GA4
Used by the world's leading companies
Start with the campaigns you need to explain. Use campaign IDs, names, statuses, and sent dates to define your selection, then examine delivery and engagement alongside the email subject, preview text, and sender.
Compare Sent, Delivered, Delivery Rate, Non Delivered, and Non-Delivery Rate by campaign. Include Hard Bounces and Soft Bounces to investigate campaigns with weaker delivery.
Show campaign names and sent dates alongside the results so your client can identify the sends that need attention. Keep counts beside rates to make the scale of each issue clear.
Review Open Rate, Unique Views, Unique Clicks, and Click Rate to compare how recipients responded to each campaign. Trackable Views and Click-to-Trackable Open Rate provide an additional view of engagement.
Include Complaints, Complaints Rate, Unsubscriptions, and Unsubscribe Rate in the same review. This helps you discuss engagement alongside negative responses instead of ranking campaigns on clicks alone.
Use Campaign Subject, Campaign Preview Text, Campaign Sender Name, and Campaign Tags to give performance comparisons context. Campaign HTML Content is also available for reviewing the message itself.
Ask for patterns among stronger and weaker campaigns, then turn those observations into ideas for future tests. Differences in results alone do not establish that a subject line or sender caused the change.
A focused campaign review, a recurring client report, and a follow-up question each call for a different approach. Use the same Brevo reporting fields to support the task at hand.
Use a report to keep client reviews consistent, and Catchr MCP to explore the questions those reviews raise. For Brevo, a useful follow-up might examine whether a low-click campaign also had delivery problems or more unsubscriptions.
Connect Brevo to Catchr using an API key and select the relevant account. Choose ChatGPT or Claude through Catchr MCP as your AI destination, then start with a question about that account’s email campaigns.
Specify the campaign selection, sent-date range, and metrics you want to compare so the answer stays focused on your client’s reporting needs.
Replace the bracketed values with your client account, dates, and reporting thresholds. These prompts request campaign comparisons and practical follow-up questions you can review before sharing with a client.
Using Catchr, which Brevo campaigns in [account] with Campaign Sent Date between [start date] and [end date] have Delivery Rate below [delivery rate threshold]? Show Campaign Id, Campaign Name, Sent, Delivered, Delivery Rate, Non Delivered, Hard Bounces, and Soft Bounces. Sort by Non Delivered descending and summarize which campaigns warrant investigation.
Copy promptUsing Catchr, which Brevo campaigns in [account] sent between [start date] and [end date] have the highest Click Rate among campaigns with at least [minimum delivered emails] Delivered? Show Campaign Name, Delivered, Unique Clicks, Click Rate, Open Rate, Unsubscriptions, and Unsubscribe Rate. Rank by Click Rate and flag campaigns whose Unsubscribe Rate exceeds [unsubscribe rate threshold].
Copy promptUsing Catchr, compare Brevo campaigns in [account] sent between [start date] and [end date] with at least [minimum delivered emails] Delivered. Show Campaign Name, Campaign Subject, Campaign Preview Text, Campaign Sender Name, Campaign Tags, Open Rate, and Click Rate. Identify recurring wording among higher- and lower-performing campaigns and propose subject or preview-text tests, clearly separating observed patterns from causal claims.
Copy promptUsing Catchr, prepare a Brevo email briefing for [account] covering campaigns with Campaign Sent Date between [start date] and [end date]. Show Campaign Name, Campaign Sent Date, Campaign Status, Sent, Delivered, Unique Clicks, Click Rate, Complaints, Complaints Rate, Unsubscriptions, and Unsubscribe Rate. Flag campaigns above [complaints rate threshold] or [unsubscribe rate threshold], and draft client talking points that distinguish measured results from questions needing further investigation.
Copy promptConnect Brevo to Catchr with an API key, select the relevant account, and choose ChatGPT or Claude through Catchr MCP. Start by asking for a campaign comparison with named metrics and a Campaign Sent Date range.
Pair delivery, open, click, complaint, and unsubscribe metrics with Campaign Name, Campaign Subject, Campaign Preview Text, Campaign Sender Name, and Campaign Tags. These fields let you compare results while keeping the message and sender visible.
Click Rate divides unique clicks by delivered emails. Click-to-Trackable Open Rate divides unique clicks by trackable opens. Use the first to compare clicks relative to delivery and the second to examine clicks relative to trackable opens; their denominators differ.
Campaign Sent Date identifies when a campaign was sent. Use it to select campaigns for a reporting period. That selection alone does not establish that every reported open or click happened within the same period, so label the results as performance for campaigns sent during those dates.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
