Analytics is the deep-dive view of how your AI agent is performing. Where Home gives you a quick daily snapshot, Analytics looks across a longer window and breaks the numbers down by channel, country, language, intent, and the journey a guest takes before booking.
| → Main → Analytics (left sidebar) |
What you can do here
The Analytics screen is one long, scrollable report grouped into themes:
Section | What it covers |
|---|
Revenue & channels | How much revenue your agent drove and where bookings came from. |
Conversations & guests | Who your guests are, where they’re based, and what they ask about. |
Effort to book | How quickly and easily guests reach a booking. |
| Note: Like the rest of the dashboard, every chart follows the date range in the top-right corner — the default here is the last 30 days. |
Revenue & channels
The first cards on Analytics show the money your agent is making and where it’s coming from.
| → Main → Analytics (left sidebar) |
Card | What it shows |
|---|
Revenue Breakdown | Total revenue, how much was Grevon-driven versus other channels, and the growth versus the previous period. |
Bookings by channel | The share of bookings made through your Grevon agent versus the rest, and the total number of bookings. |
Guests (new vs returning) | How many of your guests are new versus returning, and your total guest count. |
| Tip: “Grevon-driven” revenue is what your AI agent influenced — a quick way to see the return the agent is adding on top of your other channels. |
Conversations & guests
The middle of the Analytics report is about your guests — where they are, what language they speak, what they ask for, and how much they engage.
| → Main → Analytics (left sidebar) |
Where and when
Card | What it shows |
|---|
Users by country | A world map showing where your agent’s users are based. |
Impact over time | Chats, calls, and bookings the agent handled, day by day. |
Engagement
A row of figures summarises how much guests interact:
Figure | What it shows |
|---|
Conversations | Total conversations the agent handled. |
Avg conversation | Average number of messages per conversation. |
Repeat chatters | Share of guests who came back for more than one conversation. |
Avg duration | Average length of a conversation. |
What guests ask about
Card | What it shows |
|---|
Top intents | What guests asked about most — for example Photos & Media, Booking, or Location & Travel. |
Languages served | The split of languages your guests chatted in. |
Effort to book
The last part of Analytics measures how hard — or easy — it is for a guest to reach a booking, and how valuable your guests are over time.
| → Main → Analytics (left sidebar) |
Effort to book
Figure | What it shows |
|---|
Avg time to book | Average time from a guest’s first message to a confirmed booking. |
Messages to book | How many messages it typically takes to reach a booking. |
Sessions per guest | How many separate chats a guest has before booking. |
Return gap | The typical gap before a guest comes back. |
Two charts add detail: Time to booking groups bookings by how long they took (under 5 minutes through to several days), and Sessions per guest shows how many chats guests needed before booking.
Guest value
Figure | What it shows |
|---|
New guests | Guests booking with you for the first time in the period. |
Returning guests | Guests who have booked before. |
Repeat rate | Share of guests who return. |
Avg lifetime value | Average total value of a guest across all their stays. |