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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

SleekView Charts for WooCommerce Anti-Fraud: risk and review dashboards

WooCommerce Anti-Fraud writes a risk score and a rule breakdown to wc_orders_meta keys like _wcaf_total_score and _wcaf_rules on every order. SleekView Charts reads those keys and renders score distribution, top rules, hold rate, and daily volume as cards on one screen.

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SleekView Charts dashboard for WooCommerce Anti-Fraud

Risk scoring is real data, not a per-order badge

WooCommerce Anti-Fraud scores every order at checkout against a configurable rule set. The total score and the rule breakdown are stored as order meta. _wcaf_total_score carries the numeric risk score on every order, _wcaf_rules holds a serialized array of triggered rules, and _wcaf_review flags orders pushed into manual review. The plugin admin marks each order in the orders list with a score badge, which is perfect for handling one order at a time and useless for understanding aggregate risk.

SleekView Charts reads the same wc_orders_meta keys against High-Performance Order Storage. A Donut splits orders by score band, so the team sees how much of the day's volume sits low risk versus borderline versus held. A horizontal Bar ranks the most frequently triggered rules. A Number averages the score across the period. An Area chart tracks daily flagged-order volume.

The plugin keeps owning the rule editor, the per-order review action, and the automatic holds. SleekView Charts adds the reading layer fraud and ops teams actually want: how the score distribution shifts week over week, which rules carry the weight, and whether the hold rate moved after the last rule change, all read directly from the plugin's existing order meta with no extra logging table required.

Workflow

From _wcaf order meta to a risk dashboard

1

Connect the Anti-Fraud meta

Add a SleekView data source for wc_orders joined with wc_orders_meta where keys equal _wcaf_total_score, _wcaf_rules, and _wcaf_review. SleekView exposes the numeric score, the rules array, and the review flag as typed columns.
2

Switch the view to Charts

Flip the view from Table to Charts. SleekView creates a blank dashboard pre-aware of the score and rules columns, so risk band, rule name, and date are ready as group-by axes for new cards.
3

Add chart cards

Pick a card type, a grouping column, and an aggregation. Score-band distribution, top-rule frequency, daily flagged-order volume, and hold-rate KPI all become saved cards reading the live order meta.
4

Save and share the dashboard

Save the chart view, scope it per role for fraud, ops, and finance, and optionally embed it on a frontend page so external compliance reviewers see risk trends without WordPress admin access.

Sample dashboard

Charts you can build from WooCommerce Anti-Fraud data

Four cards that turn the _wcaf order meta into a working order-risk dashboard inside WordPress.
Number · Default

Average risk score this week

A single big-number KPI averaging _wcaf_total_score across all orders in the current week, with last week underneath for context. A leading indicator for whether risk is creeping up or staying flat.
Average(_wcaf_total_score)
Pie · Donut

Orders by risk band

A donut split across low, medium, high, and held bands based on the _wcaf_total_score thresholds, surfacing the share of orders in each risk tier without opening the orders list.
Count group by _wcaf_total_score
Bar · Horizontal

Top triggered rules

A horizontal bar of the rules most often present in the _wcaf_rules array across orders. Surfaces whether one or two specific rules are doing most of the flagging and need a sensitivity review.
Count group by _wcaf_rules
Area · Gradient

Daily flagged orders

A gradient area chart of flagged orders per day where _wcaf_review is true, sourced from date_created_gmt on wc_orders, useful for spotting fraud-attack spikes and the impact of new rules.
Count group by date_created_gmt

Comparison

Default Anti-Fraud admin vs SleekView Charts

Default Anti-Fraud admin

  • Default admin shows per-order score badges, not a risk-band dashboard
  • No way to combine score distribution, top rules, and daily hold rate on one view
  • Custom rule metadata is not exposed as a chartable dimension
  • No saved dashboards per role for fraud, ops, or finance
  • No frontend embed for compliance reviewers without WordPress admin access

SleekView Charts

  • Configurable chart cards built directly from _wcaf_total_score and _wcaf_rules order meta
  • Mix Number, Pie, Bar, Line, and Area cards on a single risk dashboard
  • Saved chart views scoped per role for fraud, ops, and finance teams
  • Embed any saved chart view on a frontend page with role-based access
  • Queries hit existing HPOS indexes on order ID and date_created_gmt so dashboards stay quick

Features

What SleekView Charts gives you for WooCommerce Anti-Fraud

Real chart cards on risk data

Number, Pie, Bar, Line, Area, Radar, and Radial cards built from the _wcaf order meta keys the plugin writes for every checkout, including score, rule breakdown, and review flag.

Complements Anti-Fraud admin

The plugin admin still owns the rule editor, the per-order review action, and the automatic holds. SleekView Charts adds the dashboards the admin does not lay out side by side.

Role-scoped sharing

Save dashboards per role and embed them on frontend pages so fraud, ops, finance, and external compliance reviewers see only the slice you allow them to read.

Audience

Who builds risk dashboards with SleekView

Fraud and risk teams

Watch the score-band donut and the top-rules bar to spot rule sensitivity issues and tune thresholds before a campaign attracts an attack wave.

Operations teams

Use the daily flagged-orders area chart to plan review-queue capacity for the day and avoid backlogs that hold legitimate orders too long.

Finance teams

Track average risk score against revenue trend to understand how aggressive risk policy is affecting paid order completion across the month.

The bigger picture

Risk policy needs a dashboard, not a per-order audit log

WooCommerce Anti-Fraud already scores every order and writes the breakdown to order meta. The reading side is the missing piece. Score badges on the orders list are perfect for handling one suspicious order at a time, but useless for the policy questions a fraud team really cares about: how the distribution moves week over week, which rules are doing all the work, and whether the hold rate after the last rule tweak is too high or too low.

SleekView Charts reads the same _wcaf order meta and turns it into chart cards on one saved dashboard. Fraud sees the score-band donut and the rule-frequency bar. Ops sees the daily flagged-order area chart.

Finance sees the average score trend against revenue. The plugin keeps owning the rules and the automatic holds; SleekView Charts adds the flexible reading layer that turns risk policy into a measurable system instead of a per-order chore.

Questions

Common questions about SleekView Charts for WooCommerce Anti-Fraud

No. The plugin still owns the rule editor, the per-order review queue, the score calculation, and the automatic holds. SleekView Charts is a flexible reading layer on the same _wcaf order meta for dashboards the admin does not lay out, such as score distribution and rule frequency on one screen.

 

SleekView reads _wcaf_total_score, _wcaf_rules, and _wcaf_review from wc_orders_meta against High-Performance Order Storage. Each becomes a typed column available as a group-by axis on chart cards.

 

Yes. The _wcaf_rules meta stores the array of triggered rules per order; any rule name present in your installation can be added as a chartable dimension. The agent UI lists rules actually triggered 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 _wcaf score cards with wc_orders revenue and refund cards to understand how risk policy affects the bottom line.

 

Yes. Saved chart views support role-based visibility so fraud, ops, finance, and external compliance reviewers 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 external compliance reviewers can read risk trends without a WordPress admin account.

 

No. SleekView Charts reads the existing _wcaf order meta after checkout; it does not sit in the scoring path. Cards aggregate against the standard HPOS indexes, so dashboards stay quick even on stores with millions of scored orders.

 

Yes. SleekView detects HPOS and reads wc_orders_meta directly. On legacy stores it falls back to standard postmeta with no config change, and saved dashboard layouts carry through HPOS migrations.

 

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