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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for Fluentbot: chatbot conversation dashboards

Fluentbot stores chat sessions in its own tables with conversation IDs, message rows, lead capture data, and source-page references. SleekView Charts reads those rows and groups them by source, day, and lead status to render configurable chart cards on a single WP Admin screen.

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SleekView Charts dashboard for Fluentbot Chatbot

Reporting that follows the Fluentbot schema

Fluentbot integrates with FluentCRM and writes a conversation row per chatbot session into its own conversation table. The conversation row carries id, contact_id (joining to fc_subscribers when the visitor identifies), started_at, ended_at, source_url, and status. The message table holds each turn with conversation_id, role (user or bot), body, and created_at. Bot definitions live in wp_options.

The default Fluentbot admin screens cover individual conversation review well, but the cross-cutting weekly questions live elsewhere. "How many chats happened last week, and how many turned into FluentCRM contacts?" "What is the conversation-to-lead conversion rate, and which pages drive the most chats?" "Which bots have the highest engagement and which need re-training?" Each lives in a separate corner of the admin rather than on one dashboard.

SleekView Charts maps the Fluentbot and FluentCRM tables to chart cards so the recurring questions become one screen. A Number card counts conversations this month, a Donut splits lead-capture status, a Bar ranks top source pages, and an Area plots conversation volume per day. Cards refresh as new conversations end, so the dashboard stays current without a manual rebuild between the weekly support and marketing standups.

Workflow

Build a Fluentbot dashboard in four steps

1

Map the Fluentbot tables

Point SleekView at the Fluentbot conversation and message tables, joined to fc_subscribers where the visitor identified. Charts inherits whichever columns the dataset exposes, so the join is configured once and reused across every chart card on the dashboard.
2

Pick a chart type per question

Map each question to a chart type. Total conversations wants a Number card, lead-capture mix wants a Donut, top source pages wants a Bar, daily conversations wants an Area. Four cards usually cover the weekly review without crowding the screen for the team.
3

Set groupBy and aggregation

Each card declares its groupBy column, aggregation (Count, Sum, Average), and valueColumn where relevant. For source-page cards, group by source_url and count rows. For lead cards, count rows with contact_id present and aggregate by joined fc_subscribers.status.
4

Save and pin the dashboard

Save the configured Charts view as a named dashboard. Support checks engagement Monday, marketing checks lead capture Friday. The same data powers both views without per-team rebuilds or per-week manual screenshots in support chat threads.

Sample dashboard

Charts you can build from Fluentbot data

A representative four-card dashboard combining a top-level KPI, the lead-capture mix, a top-source-page ranking, and a daily conversation trend over the last 30 days.
Number · Default

Conversations this month

Single big-number KPI counting rows in the Fluentbot conversation table for the current month, with the previous month rendered underneath for week-on-week context. Empty no-message sessions filtered out for accuracy.
Count
Pie · Donut

Lead-capture status mix

Donut split across new, captured, qualified, and abandoned using the status column on the conversation table, so chat-to-lead conversion mix shows at a glance for marketing and the support team.
Count group by status
Bar · Horizontal

Top source pages

Horizontal bar of conversations grouped by source_url on the conversation table. Reveals which pages drive the most chatbot engagement and which need supporting documentation upstream of the bot itself.
Count group by source_url
Area · Gradient

Daily conversation volume

Daily count of new rows on the conversation table over the trailing 30 days grouped by started_at. Surfaces traffic spikes, campaign-driven chats, and quiet weeks worth investigating with marketing in the standup.
Count group by started_at

Comparison

Default Fluentbot admin vs SleekView Charts

Default Fluentbot admin

  • Conversation list covers individual chats but not week-over-week conversation volume
  • No cross-tab dashboard combining lead capture, top source pages, and daily volume
  • Per-page chat breakdowns require filtering the conversation list one URL at a time
  • Conversation-to-lead conversion rate is not surfaced as a KPI anywhere in admin
  • Time-series charts of conversation activity over the trailing 30 days are not built in

SleekView Charts

  • One dashboard combining the Fluentbot tables and fc_subscribers
  • Donut and Bar cards for lead status and per-page distribution
  • Area and Line cards for daily conversation volume and rolling trends
  • FluentCRM tags and lists joinable as chart groupBy dimensions
  • Cards refresh as Fluentbot writes new conversation rows, so the board never goes stale

Features

What SleekView Charts gives you for Fluentbot Chatbot

Conversation KPI cards

Total conversations this month, leads captured this week, average messages per chat: Number cards surface the figures marketing leads normally rebuild in spreadsheets every Monday before the standup with the support team kicks off.

Lead capture distribution

Donut and Bar cards render the lead capture status mix and top source pages, so chat-to-lead conversion questions answer themselves at a glance instead of requiring per-conversation drill-down through the admin viewer.

Volume and engagement trends

Area and Line cards over the trailing 30, 60, or 90 days surface conversation velocity and capture decay, the long-running patterns that drive next-quarter Fluentbot training and content updates.

Audience

Who builds Fluentbot dashboards with SleekView

Support leads

Daily standup dashboard: lead capture mix, recent conversation volume, and average messages per chat on one screen. Doubles as the monthly review with marketing and the operations lead.

Marketing

Lead capture dashboard pivoting Fluentbot conversations against fc_subscribers. See which source pages drive the most captured contacts and which campaigns underperform on chatbot engagement.

Operations

Coverage dashboard tracking abandoned and unresolved counts as trend lines. Spot bot failure modes the week they start, not the month after the customer complaints arrive in the support inbox.

The bigger picture

Why Fluentbot teams need a saved dashboard

Teams running Fluentbot at scale spend more time stitching reports than they should. The plugin produces excellent per-conversation analytics, but the cross-cutting weekly questions live in screens that need to be visited individually and recombined in a head or a spreadsheet. Conversation volume by source, lead capture mix, top pages, weekly conversion trend: each lives in its own corner of the admin.

SleekView Charts collapses those questions onto one dashboard that refreshes as Fluentbot writes new conversation rows. A support lead pins the dashboard in the WordPress admin and checks it every Monday morning. A marketing lead watches the lead-capture Donut for conversion creep.

An operations lead breaks abandoned chats down by source. The data was always there in the conversation and message tables; the dashboard makes it operational rather than ad-hoc.

Questions

Common questions about SleekView Charts for Fluentbot Chatbot

No. The conversation viewer stays in place and remains the right place for individual chat inspection and quality review. SleekView Charts adds the cross-cutting weekly dashboard the default screens do not assemble, so the two layers complement each other rather than competing for the same screen real estate inside the admin.

 

Yes. The contact_id column on the conversation table joins to fc_subscribers, so a chart card can pivot conversations on subscriber status, tags, or lists. Marketing leads use it to see which segments engage most with the bot and which campaigns underperform on lead capture across the chosen window.

 

Yes. Conversion rate is the count of rows with contact_id present divided by total conversations, which is a straightforward aggregation in SleekView Charts. The Number card surfaces the rolling rate alongside the previous period so changes in onboarding flow show up in the headline KPI immediately.

 

Yes. Dashboard-level filters apply to every chart card so the whole dashboard responds to a single bot filter or campaign tag filter. That makes per-bot reviews and per-campaign retrospectives a one-click switch rather than a per-card configuration job for each chart in the layout.

 

Yes. Aggregations run on the indexed columns Fluentbot already maintains on the conversation and message tables, so sites with thousands of weekly conversations render charts in seconds. The Charts engine uses pagination and indexed joins rather than scanning the message body on every render.

 

Yes. Each chart card exposes its underlying conversation row set, which exports to CSV with the active filters applied. Operations leads hand the CSV straight to the quarterly review without round-tripping through a spreadsheet rebuild, and marketing uses it for campaign retrospectives with leadership.

 

Both plugins write to neighbouring tables in the same database, and SleekView can join them on contact_id. A single dashboard can show conversation volume next to FluentCRM list growth, so chatbot impact on the email list lives in one place rather than across two browser tabs in the admin sidebar.

 

Each subsite has its own Fluentbot tables, and SleekView Charts reads the current subsite's data by default. Network-wide dashboards can be configured explicitly when reporting needs to span multiple subsites, with the join layer joining the per-site tables into a single network view of chatbot performance.

 

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