SleekView for Freshchat
Freshchat is Freshworks' messaging product, with a clean API for conversations, channels, groups, agents, bot resolution and CSAT. SleekView reuses the credentials the WordPress widget plugin authenticates and renders every conversation as a sortable, filterable, inline-editable row inside WP Admin.
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Freshchat has the conversations, WordPress sees a widget
Freshchat is Freshworks' modern messaging product, used for livechat on websites plus messaging on WhatsApp, Instagram, Facebook Messenger and Apple Business Chat. The WordPress plugin embeds the widget. The Freshchat API exposes conversations, channels, groups, agents, bot resolution metrics and CSAT, and the Freshchat dashboard inside Freshworks ships its own reporting.
That reporting sits in the Freshworks app. For a WordPress operator running the marketing site, content and checkout, Freshchat data lives one tab away. A SaaS or ecommerce site doing 3,000 Freshchat conversations a month across livechat and WhatsApp needs a row-level workspace inside WordPress, alongside the posts, forms and orders. The data exists behind a clean API. It just never renders inside WP Admin.
SleekView reads the Freshchat API the WordPress plugin already authenticates against. Visitor name, channel, group, assigned agent, status, CSAT rating and last response render in a single row, sortable on any column and filterable in combinations Freshchat splits across separate report screens. Inline edits route through the Freshchat API so retagging, reassignment and status changes propagate to the Freshchat dashboard and any Freddy AI handoff flow.
Workflow
How SleekView reads your Freshchat schema
Connect the Freshchat API
Compose your column set
Save and scope the view
Edit inline and ship
Sample columns
A typical Freshchat conversations view
Freshchat API
| Visitor | Channel | Group | Agent | CSAT | Status |
|---|---|---|---|---|---|
| Iris Klein | Web | Sales | olivia.k | 5 | Resolved |
| Daniel Park | Billing | raj.s | — | Awaiting | |
| Sara Boyle | Support | mira.l | — | Open | |
| Tobias Hahn | Web | Support | bot:freddy | — | Handoff |
| Anya Petrov | Messenger | Sales | olivia.k | 2 | Resolved |
Comparison
Default Freshchat dashboard vs SleekView
Default Freshchat dashboard
- Reporting lives in the Freshchat app inside Freshworks, separate from WordPress
- Per-group and per-channel views are split across separate Freshchat report screens
- Freddy bot resolution metrics need their own tab opened explicitly
- Read-only access for stakeholders requires Freshchat seats instead of WordPress capabilities
- No saved per-role views over the same Freshchat dataset inside WP Admin
SleekView
- Reads the Freshchat API the WordPress widget plugin already authenticates
- Pivot channel, group, Freddy resolution and CSAT into typed columns
- Inline edit tag, agent, group and status across many conversations in one pass
- Save filtered views ("WhatsApp billing group", "Freddy handoffs last 7 days")
- Switch between conversation, group-load and bot-handoff views on the same dataset
Features
What SleekView gives you for Freshchat
Conversations with real Freshchat columns
Combine visitor and conversation fields with channel, group, Freddy resolution and CSAT columns. One workspace replaces the tab-switching between WP Admin and the Freshchat dashboard.
Inline edit group and assignment
Retag a campaign cohort, reassign a group or close stalled conversations from the row. Edits route through the Freshchat API so the Freshchat dashboard and Freddy handoff flow mirror the change.
Compose precise filters
Combine channel, group, status, CSAT and resolved_by into one saved filter. A view like "WhatsApp, billing group, CSAT 1 or 2" runs as one API query.
Audience
Who uses SleekView for Freshchat
Support leads
Triage active conversations by group, channel and waiting time in one filterable view. Surface low CSAT cohorts and bulk-tag them for coaching follow-up.
AI program owners
Filter by resolved_by to compare Freddy bot resolutions against agent handoffs. Inline-tag the intents that escalate consistently to brief the next bot iteration.
Growth marketers
Tie Freshchat conversations on the row workspace to campaign dates and labels. See immediately which campaigns drove messaging volume and which underperformed.
The bigger picture
Why Freshchat deserves a WordPress-side row workspace
Freshchat is part of the broader Freshworks suite, with reporting tightly integrated into the Freshworks dashboard. That works for support leadership. It works less well for the WordPress operator running the marketing site that drives the conversations.
SleekView reads the Freshchat API directly and renders every conversation as a row inside WP Admin, with channel, group, Freddy resolution and CSAT fields surfaced as sortable filterable columns. A WhatsApp spike surfaces in the row workspace before the team falls behind. A group drifting on resolution time surfaces on a sortable column before CSAT tanks.
Inline edits route through the Freshchat API so the Freshchat dashboard and any Freddy handoff flow stay aligned. Same Freshchat data, much less context switching, surfaced where the WordPress posts and orders already live.
Questions
Common questions about SleekView for Freshchat
Yes. SleekView reuses the API credentials the Freshchat WordPress widget plugin already stores and queries the Freshchat API endpoints for conversations, channels, groups, agents, bot resolution and CSAT. Each conversation surfaces as one row inside WP Admin.
 Yes. Freshchat's WhatsApp Business channel writes conversations into the same Freshchat conversation table with a channel marker. Pivot channel and intent into typed columns to surface WhatsApp volume and topic mix in the same workspace.
 Yes. Edits route through the Freshchat API so retagging, reassignment, group changes and status updates propagate to the Freshchat dashboard and any Freddy handoff flow the same way a manual change would.
 Yes. Freshchat logs the bot resolution outcome per conversation. Pivot resolved_by into a typed column to compare bot-resolved versus agent-resolved volume in the same row workspace.
 Yes. Freshchat captures CSAT scores post-conversation. SleekView pivots CSAT into a typed column, sortable to surface the low-score cohort for coaching without opening individual conversations.
 Yes. Freshchat exposes timestamps for conversation start, first agent response and resolution. SleekView pivots the resolution duration into a typed column, sortable per group or agent for a quality-versus-volume read.
 Conversations promoted from Freshchat to Freshdesk carry their conversation_id. Pivot it into a typed column and cross-reference via the Freshdesk API to see how many messaging conversations escalate to tickets per group or topic.
 No. The Freshchat dashboard stays where it is for the per-conversation agent workflow. SleekView adds a row-level surface for the cohort operations support leadership, AI program owners and growth marketers do every week, inside WP Admin.
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