How to set up ai agents for analytics for email support

You need access to your Email Marketing Support documentation – help articles, setup guides, campaign FAQs – and a Chatref account. You will also need the ability to paste a small snippet into your website’s HTML to deploy the widget. The goal is an agent that deflects repeat questions about automations, list imports, or deliverability, while gathering analytics on what your users actually ask.

Add your email marketing support content. In the Chatref dashboard, upload your help docs as PDFs, point to your public help center URL, or paste plain text. The agent will answer only from this material – no guessing, no web search. Include walkthroughs for common tasks like creating an automated sequence, importing contacts, and troubleshooting campaigns.

Configure the agent’s voice. Set the agent’s name and primary color to match your brand. Write a short greeting that feels natural for your email marketing audience (e.g., “Hi, I’m here to help with your email campaigns”). This keeps responses consistent across every chat.

Deploy the widget. Copy the one-line snippet from the dashboard and paste it just before the closing </body> tag on your website. The agent begins answering questions immediately on every page where the snippet is present.

Enable insights (turned on by default). No extra toggle is required – Chatref starts tracking conversations as soon as the widget goes live. The insights engine uses the agent’s chat history to surface top topics, auto-tags conversations (like “automations”, “deliverability”, or “imports”), and sends digest emails that highlight content gaps and recurring friction.

1. Visit your website and ask the widget a real email marketing question – “How do I set up a welcome automation?”. Verify the agent answers from your uploaded guides, not from generic knowledge.
2. Open the Insights tab in Chatref. You should see the test conversation logged and tagged. If you asked about automations, that topic should appear with a count.
3. Wait for the next digest email (they are sent at a regular cadence). Confirm it includes actionable pointers like “5 users stuck on campaign setup – review this guide.”

Agent gives an irrelevant or partial answer. The most likely cause is missing source material. Add the specific help article that covers the topic, or re-upload a more comprehensive version. Test again after a few minutes.

Insights panel is empty or shows very few topics. Ensure the widget is on pages where users actually ask questions – not just the homepage. Low conversation volume naturally produces sparse analytics; add the widget to your help center, in-app dashboard, and pricing page to capture a broader range of queries.

Digest email doesn’t arrive. Check your spam folder and whitelist the sending domain. Review your account’s notification settings to confirm the digest is enabled.

Conversations aren’t tagged as expected. Tags are automatically assigned based on the agent’s understanding of the conversation topic. If a conversation touches on multiple subjects, it will carry the dominant tag. For fine-grained insight, encourage the agent to handle one issue per chat and review the full transcript in the conversation inbox for additional context.

What causes analytics for email support problems for Email Marketing Support?

Insufficient training content is the most common root cause. When the agent lacks documentation for a topic – say, advanced segmentation or API integration – those conversations never happen, and analytics remain empty. Other causes include embedding the widget on too few pages, leading to low chat volume, or a recent content change that accidentally removed key documentation, causing the agent to stall.

How do I improve analytics for email support for Email Marketing Support?

Broaden your training materials to cover every common email marketing support scenario: campaign creation, list management, automation rules, deliverability troubleshooting, billing, and account settings. Place the widget on high-traffic pages where questions naturally arise. Act on the insights digests: each digest flags specific topics that users struggle with, so updating or adding a guide for that topic directly improves both the agent’s accuracy and the richness of future analytics.