Introduction
The Analytics dashboard in Rep AI provides comprehensive insights into how your AI chatbot is performing across different aspects of your business. This powerful suite of tools helps you measure key metrics, understand customer interactions, and make data-driven decisions to optimize your AI assistant's effectiveness. With Rep AI Analytics, you can track engagement rates, monitor sales conversions, assess support efficiency, and quantify the overall return on your AI investment.
Accessing Analytics
Log in to your Rep AI Console
Click on Analytics in the left navigation menu
Select the tab for the specific analytics type you want to view:
Engagement: Monitor how visitors interact with your AI
Sales: Track revenue and conversions driven by your AI
Support: Measure customer service efficiency and automation
Analytics Dashboard Overview
The Analytics section is divided into three specialized dashboards, each focusing on a different aspect of your AI's performance:
1. Engagement Analytics
The Engagement Analytics dashboard helps you understand how effectively your AI initiates and participates in conversations with website visitors. Key metrics include:
Engagement Rate: The percentage of site visitors who interact with your AI
Conversations by Traffic Source: Breakdown of AI interactions by visitor origin
Proactive vs. Shopper-Initiated: Balance between AI-started and customer-started conversations
Leads Collected: Number of email addresses or phone numbers gathered during conversations
Use this dashboard to optimize how your AI approaches visitors and converts passive browsers into active shoppers or support seekers.
2. Sales Analytics
The Sales Analytics dashboard tracks how your AI chatbot drives revenue, conversion, and product engagement. Key metrics include:
Conversion Rate: Percentage of AI conversations resulting in purchases
AI-Generated Sales: Total revenue attributed to chatbot-assisted conversations
Average Order Value (AOV): Average purchase amount from AI-assisted shoppers
Rep Funnel Visualization: Visual representation of the AI-driven customer journey
Use this dashboard to measure the ROI of your AI investment and identify opportunities to optimize your conversion funnel.
3. Support Analytics
The Support Analytics dashboard provides insights into how your AI handles customer service inquiries. Key metrics include:
Resolved by AI: Percentage of support interactions handled without human intervention
Question-Answering Rate: Success rate for customer questions
Deflected Support Tickets: Number of customer-initiated support conversations fully handled by AI
Potential Savings: Estimated cost savings from AI-handled support tickets
Use this dashboard to quantify efficiency gains, understand escalation patterns, and measure customer satisfaction with AI-powered support.
Working with Analytics Tools
Every Analytics dashboard — Sales, Support, and Engagement — shares the same filter bar at the top of the page. Set your filters once, and they follow you as you move between dashboards.
Date Range
Click the date control at the top right of any Analytics dashboard to choose a time window. Pick a preset or define your own range:
Today
Yesterday
This Week or Last Week
This Month or Last Month
Custom range — select any start and end date on the calendar
Choose your dates and click Apply. The latest selectable date is yesterday, since today's data is still settling.
Default view: When you first open Analytics, you'll see the last 30 days (ending yesterday). Your last-used range is remembered the next time you return.
Compare to Previous Period
A toggle next to the date control turns on side-by-side comparison with the matching previous window — last 7 days vs. the 7 days before, last month vs. the month before, and so on. Each metric card shows the change next to your current number.
Compare is on by default. Turn it off if you prefer a single-period view.
Filter Pills
Three filter pills sit alongside the date control:
Customers — All / New / Returning. Focus on first-time visitors or returning shoppers only.
Device — Web / Desktop / Mobile / Simulator. See how your dashboards behave by platform. The options available reflect the platforms your store supports.
Traffic Source — All / Direct / Referral / Search / Social / Instagram DM / Facebook DM / WhatsApp DM. Understand which channels are driving the activity in each metric. Messaging-channel options (Instagram DM, Facebook DM, WhatsApp DM) only become selectable once you've connected the matching integration; until then, they show a Connect link that takes you straight to the Integrations page.
Click a pill, choose your value, and the dashboard updates immediately — no Apply button needed. The selected value shows in the pill label (for example, Device · Mobile) so you always know what's active.
Clearing Filters
When at least one pill filter is active, a Clear filters button appears next to the pills. Clicking it resets Customers, Device, and Traffic Source back to All — your date range and comparison toggle stay as they were.
On a Phone or Tablet
On smaller screens the three filter pills collapse into a single More filters button. Tap it to open a sheet with all three controls, make your choices, and tap Apply to update the dashboard.
What Carries Across Screens
Your filter selections — date range, comparison toggle, and the three pill filters — persist as you move between Sales, Support, and Engagement. If you set Customers = Returning on Sales and click into Support, you'll see Support filtered to returning customers too. To start fresh on a different dashboard, use Clear filters and reset the date range.
Note: Insights and Deep Research are separate from the Analytics dashboards and have their own date picker only — the filter pills above don't apply there.
Sharing a Filtered View
You can deep-link to a specific date range by adding startDate and endDate parameters to the URL — useful for sharing a snapshot with a teammate via Slack or email.
Viewing Detailed Conversations
Each metric card includes a See conversations link that opens the actual chat transcripts behind that metric. Use it whenever a number raises a question — the conversations are the source of truth for what's driving each metric.
Tips for Getting the Most from Analytics
Regular Review Schedule: Set aside time weekly to review your analytics across all three dashboards
Focus on Trends, Not Just Numbers: Look for patterns and changes over time rather than fixating on absolute values
Connect Insights Across Dashboards: For example, if Engagement Analytics shows high interaction but Sales Analytics shows low conversion, investigate the gap
Use Insights to Refine AI Training: Identify knowledge gaps or missed opportunities and update your AI's training accordingly
Test and Iterate: Make one change at a time to your AI configuration, then use Analytics to measure its impact
Share Insights with Your Team: Use the data to align marketing, sales, and support teams around AI performance goals
Troubleshooting Common Issues
Missing or Incomplete Data: Ensure your tracking is properly implemented. If you've recently installed Rep AI, it may take time to accumulate meaningful data.
Metric Discrepancies: If metrics seem inconsistent across different views or filters, try refreshing the page or temporarily disabling filters.
Low Performance Indicators: Check your AI's configuration settings and review conversation transcripts to identify specific areas for improvement.
Date Range Confusion: Remember that comparing to previous periods uses time ranges of equal length (e.g., comparing this week to last week).
Related Features
Conversations: Review individual chat transcripts in detail
AI Training: Configure your AI's knowledge base and behavior based on analytics insights
Sales Skills: Adjust proactive approach settings based on Engagement Analytics data
Support Skills: Refine automation capabilities based on Support Analytics metrics
By regularly using Rep AI Analytics, you'll gain valuable insights that help you continuously improve your AI chatbot's performance, drive more revenue, provide better customer support, and maximize your return on investment.