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

SleekView Charts for Customer History for WooCommerce

Customer History for WooCommerce records every customer event in wt_customer_history with type, customer_id, order_id, and created_at. SleekView Charts reads that table alongside wc_orders and renders LTV, repeat-purchase share, event mix, and signups per day as cards on one screen.

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SleekView Charts dashboard for Customer History for WooCommerce

Customer events are real data, not a per-user activity tab

Customer History for WooCommerce builds a clean audit trail per customer. Every relevant event is appended to wt_customer_history with an event_type such as registered, order_placed, order_completed, refunded, or login, a customer_id, an optional order_id, a created_at timestamp, and event-specific JSON in a meta column. The plugin admin shows the trail per customer, which is exactly what support agents need and exactly the wrong shape for understanding cohort behavior.

SleekView Charts reads the same wt_customer_history table and joins to wc_orders and wc_customer_lookup when the question is bigger than one customer. A horizontal Bar of top event types by volume. A Donut of one-time versus repeat buyers from the order_completed count per customer. A Number of average lifetime value across the active cohort. An Area chart of daily new-customer registrations from the event_type filter.

The plugin admin keeps owning the per-customer drilldown, which is what support uses to handle a refund call. SleekView Charts adds the reading layer marketing and growth actually want: how the event-type mix shifts over time, what share of customers ever come back, and how LTV moves week over week, all read directly from the plugin's event log without exporting CSVs.

Workflow

From wt_customer_history to a customer dashboard

1

Connect the customer history table

Add a SleekView data source for wt_customer_history and join to wc_orders and wc_customer_lookup. SleekView exposes event_type, customer_id, order_id, created_at, and the parsed meta fields as typed columns for grouping and aggregation.
2

Switch the view to Charts

Flip the view from Table to Charts. SleekView creates a blank dashboard ready for cards built on the event-type and customer-ID columns, with order-aware joins available for revenue-side aggregations.
3

Add chart cards

Pick a card type, a grouping column, and an aggregation. Top event types, repeat versus one-time buyer mix, average LTV across the active cohort, and daily new-customer registrations all become saved cards on the live tables.
4

Save and share the dashboard

Save the chart view, scope it per role for support, growth, and finance, and optionally embed it on a frontend page so account managers see customer trends without granting WordPress admin access.

Sample dashboard

Charts you can build from Customer History data

Four cards that turn the wt_customer_history event log and the wc_orders join into a working customer-behavior dashboard inside WordPress.
Number · Default

Average lifetime value

A single big-number KPI averaging total_spent from wc_customer_lookup across customers with at least one order_completed event in wt_customer_history, with the previous period underneath for context.
Average(total_spent)
Pie · Donut

Events by type

A donut split across registered, order_placed, order_completed, refunded, and login using the event_type column on wt_customer_history, so the team sees the share of value-creating versus support-burden activity.
Count group by event_type
Bar · Horizontal

Top customers by order count

A horizontal bar of the top customers by order_completed event count, grouping wt_customer_history rows by customer_id and resolving IDs to display names from wc_customer_lookup.
Count group by customer_id
Area · Gradient

Daily new customer registrations

A gradient area chart of daily registered events from created_at on wt_customer_history filtered to event_type registered, useful for spotting acquisition-channel impact and seasonal signup patterns.
Count group by created_at

Comparison

Default Customer History admin vs SleekView Charts

Default plugin admin

  • Default admin shows the trail per customer, not a cohort dashboard
  • No way to combine event mix, LTV, and daily registrations on one saved view
  • Custom event meta is not exposed as a chartable dimension
  • No saved dashboards per role for support, growth, or finance
  • No frontend embed for account managers without WordPress admin access

SleekView Charts

  • Configurable chart cards built directly from the wt_customer_history event log
  • Mix Number, Pie, Bar, Line, and Area cards on a single customer dashboard
  • Saved chart views scoped per role for support, growth, and finance
  • Embed any saved chart view on a frontend page with role-based access
  • Queries hit existing indexes on customer_id, event_type, and created_at so dashboards stay quick

Features

What SleekView Charts gives you for Customer History for WooCommerce

Real chart cards on customer events

Number, Pie, Bar, Line, Area, Radar, and Radial cards built from the wt_customer_history columns the plugin writes for every customer interaction, joined to wc_customer_lookup for LTV.

Complements the plugin admin

The plugin admin still owns the per-customer trail used by support. SleekView Charts adds the cohort-level dashboards the admin does not lay out, like event mix, repeat rate, and LTV side by side.

Role-scoped sharing

Save dashboards per role and embed them on frontend pages so support, growth, finance, and external account managers see only the slice you allow.

Audience

Who builds Customer History dashboards with SleekView

Support teams

Use the event-type donut to spot a spike in refunded events and route resourcing to the support queue before churn metrics catch up.

Growth and marketing teams

Watch the daily new-customer area chart and the average LTV KPI to measure the impact of acquisition campaigns against actual repeat behavior.

Finance teams

Track average LTV and top-customers-by-order-count to understand revenue concentration and where the renewal risk really sits across the customer base.

The bigger picture

Customer behavior should fit a dashboard, not a per-user tab

Customer History for WooCommerce captures the exact log most stores wish they had: every customer event, time-stamped, with the order or user it relates to. The reading side is the missing piece, because the admin lays the data out per customer, which is perfect for support and useless for cohort understanding. SleekView Charts reads the same wt_customer_history table and turns it into chart cards on one saved dashboard.

Growth sees event mix and daily registrations. Finance sees average LTV and top-customer bars. Support keeps the per-customer trail in the plugin admin where it belongs.

The result is one shared dashboard the whole team reads first thing in the morning, scoped per role, embeddable on a frontend page for account managers, and queried against the live event log so the numbers never lag the orders table.

Questions

Common questions about SleekView Charts for Customer History for WooCommerce

No. The plugin admin still owns the per-customer trail used by support, the manual event addition, and the export. SleekView Charts is a flexible reading layer on the same wt_customer_history table for cohort-level dashboards the admin does not lay out.

 

SleekView reads wt_customer_history for the event log and joins to wc_orders and wc_customer_lookup for revenue and identity. Each is exposed as a typed data source with event_type, customer_id, order_id, created_at, and meta fields available as group-by axes.

 

Yes. The meta column on wt_customer_history is parsed and any key it contains can be added as a chartable dimension or value. The agent UI lists keys actually present in your installation so you pick from a real list.

 

Yes. Each card is a saved query against the SleekView data source, so a single dashboard can mix cards built on wt_customer_history, wc_orders, and wc_customer_lookup for true LTV and repeat-rate analysis.

 

Yes. Saved chart views support role-based visibility so support, growth, finance, and external account managers each see only the dashboards you allow them to read.

 

Yes. Any saved chart view can be embedded on a frontend page with role-based access, so account managers and partners read customer trends without a WordPress admin account.

 

Cards paginate and aggregate against the existing indexes on customer_id, event_type, and created_at, so dashboards stay quick even on stores with millions of events recorded over years.

 

Yes. Saved chart views honor SleekView's column-level masking, so dashboards aggregate over event counts without exposing identifying meta. Drill-down respects the same masking rules per role.

 

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