Connect SALESmanago to your AI tools

1. Open Claude and navigate to your account settings

2. Look for "Connectors" in the settings menu

3. Click on "Add Custom Connector"

1. Enter Server Details:

• Name: Enter "SALESmanago" (or your preferred identifier)
• Server URL: Input the SALESmanago MCP server endpoint URL: https://mcp.salesmanago.com/mcp

2. Save Configuration: Click "Add" to proceed

1. Claude will redirect you to SALESmanago's login page

2. Enter your SALESmanago credentials (username and password)

3. Review and approve the permissions that Claude is requesting

4. You'll be redirected back to Claude with a confirmation of successful connection

1. Return to your connectors settings to confirm the SALESmanago connector is visible (there should be no “Disconnected” label)

2. Go to new chat and click on tools menu. You should see SALESmanago MCP server

3. Test the integration by asking Claude a simple question about your SALESmanago data. If successful, you should see Claude accessing your SALESmanago information

• Give me the email activity for contact@domain.com in SALESmanago

• Show me all tags in SALESmanago

• Show all transactions (external events with type PURCHASE) for contact@domain.com

• Find contacts with high recent activity (via activity samples) who lack recent campaign interactions in 30 days. Recommend next-best action per contact.

• How many contacts carry the tag VIP right now, and what share is that of total monitored contacts?

• List all my SALESmanago campaigns and their performance metrics from this month

• Give me details for my campaign "[Campaign name]" in SALESmanago

• Present my webpush campaign with results

• Show me all mobile campaigns with performance data

• Find top 5 email marketing campaigns with highest OR

• Analyze how the number of email campaigns sent each day over the last 30 days affects the average click-through rate

• On dates where both email and web push were sent in the last 30 days, compare each channel’s average CTR to dates with only one channel.

• Estimate incremental clicks when a web push goes out on the same day as an email

• Find campaigns (email / mobile / web push) in the last 30 days with CTR >2× above or <½ of their channel median. Bucket by volume decile and output 5 likely root causes.

• Give sends, opens, clicks, median OR/CTR per channel, top/bottom 5 by CTR, and 3 quick wins to try next week.

• Find the bottom-quartile CTR email campaigns in the last 30 days (exclude low-send tests if available). Produce a short post-mortem checklist for each.

• Show 8-week trend of median OR and median CTR for email campaigns and flag any reversals.

• show me all active workflows with their performance data

• compare revenue performance for all email marketing campaigns