SleekView Charts for LiveChat (livechatinc.com)
SleekView Charts pulls from the LiveChat REST API the WordPress widget plugin authenticates, surfacing chats, agents, groups, tags and satisfaction scores as Number, Pie, Bar and Area cards in WP Admin.
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LiveChat has the agents. The WordPress widget hides their numbers.
LiveChat (the SaaS at livechatinc.com) ships an official WordPress plugin that embeds the chat widget on a site and connects it to a LiveChat workspace. The plugin manages the widget script, license key and group routing. The conversation data, agent assignments, chat ratings and tag taxonomy live in the LiveChat platform, queryable through the LiveChat Reports and Configuration APIs.
That keeps the widget simple. It also means the WordPress operator who lives in WP Admin has no view of how the chat program is performing without jumping to the LiveChat app in another tab. A growing site with five agents, three groups and 1,500 chats a month needs a dashboard, not a context switch. The aggregates (chats per day, ratings distribution, busiest tags, agent leaderboard) exist in the LiveChat API. They just do not render next to the WordPress orders, posts and forms.
SleekView Charts reads the LiveChat REST API the WordPress plugin already has authenticated. A Number card anchors total chats this month. A Pie splits chats across groups (sales, support, billing). A Bar ranks agents by chats and average rating. An Area trends chat volume by day. Same LiveChat data, surfaced as a dashboard the support manager can read alongside WooCommerce and the rest of WP Admin.
Workflow
Turn LiveChat data into a WordPress-side dashboard
Map the LiveChat API endpoints
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from LiveChat data
Chats this month
Count
Chats by group
Count
group by group_id
Chats per agent
Count
group by agent_id
Chats by day
Count
group by chat_start_date
Comparison
Default LiveChat reporting vs SleekView Charts
LiveChat Reports tab
- Reports live in a separate LiveChat web app, not in WordPress
- Per-agent and per-group views are split across multiple LiveChat report screens
- Tag-based breakdowns require switching report types in the LiveChat UI
- Read-only dashboard URLs require LiveChat user seats, not WordPress capabilities
- No way to read chats next to WordPress orders and posts in the same admin
SleekView Charts
- KPI card for chats in any custom window
- Pie split across LiveChat groups and tags
- Bar ranking agents by chats and average rating
- Area trend of chat volume by day, hour or weekday
- Filters carry between the chat table and chart view on the same LiveChat dataset
Features
What SleekView Charts gives you for LiveChat (livechatinc.com)
Dashboard over LiveChat
Render chats, groups, agents and ratings as Number, Pie, Bar and Area cards so support leads see the shape without leaving WP Admin.
Filters span table and chart
Filter to group of sales and rating of rated good in the chart view and the conversation table stays in sync. Same LiveChat dataset, two surfaces.
Share a read-only snapshot
Send the marketing lead a URL of the daily chat dashboard or export the filtered conversation set to CSV. The chat program gets a measurable picture instead of a Reports screenshot.
Audience
Who builds LiveChat charts dashboards with SleekView
Support managers
Anchor reviews on chats this month, group mix and per-agent volume. Catch the rating drift on the bar card before it turns into churn.
Operations leads
Read the hour-of-day area to cut shift schedules against real LiveChat demand. Match agent rosters to the actual chat curve.
Sales teams
Chart the sales group's chats over time and group by tag to see which campaigns drive chat. Tie the busiest hours to the highest-converting landing pages.
The bigger picture
Why LiveChat needs a WordPress-side dashboard
LiveChat is a polished SaaS, but for a WordPress operator the data is always one tab away. That works when chat is incidental. It stops working when chat is a primary support channel doing thousands of conversations a month.
Watching chat volume, group mix, agent throughput and rating distribution as a single dashboard inside WP Admin changes how the program is run. A drifting rating surfaces on the bar before customer satisfaction shows in cancellations. An overloaded group surfaces on the pie before agents start dropping chats.
An underused channel surfaces on the area trend in time to brief marketing on where to push next. Same LiveChat Reports data, but read where the WordPress orders, posts and forms also live.
Questions
Common questions about SleekView Charts for LiveChat (livechatinc.com)
The LiveChat REST API the WordPress widget plugin already authenticates, primarily the Reports and Configuration APIs for chats, ratings, agents, groups and tags. No conversation bodies are stored locally, only the aggregates needed for the cards.
No. The standard LiveChat API access included with paid plans is enough for the chat, agent, group and rating cards. Some advanced reports the LiveChat app gates by plan tier are charted directly from the underlying chat data SleekView reads.
Yes. Group by rating to build a Pie of rated good versus rated bad and an Average aggregation on numeric ratings per agent to compare quality across the team.
No, in normal use. SleekView Charts batches API calls per card and caches aggregates per refresh window. The Reports API is well within limits even for refresh intervals of a minute on a busy dashboard.
Yes. Tags applied to chats in LiveChat are filterable. A Pie grouped by tag surfaces the topic mix. A Bar grouped by tag and aggregated by Average chat duration reveals which subjects soak up the most agent time.
Yes. The LiveChat ChatBot integration writes bot handoff events into the chat record. Group by handled_by to compare bot-resolved versus agent-resolved volume and to chart the savings the bot is producing.
Yes. The LiveChat chat record exposes timestamps for chat start and first agent message. Average that delta grouped by agent for a responsiveness leaderboard, or group by hour to see when first response slips.
Cards refresh on dashboard load and on a per-chart interval. For a daily standup screen the refresh runs every minute. For a monthly review a daily refresh is enough and keeps API call volume low.
Pricing
More than 1000+
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