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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 Advanced Woo Search: term and CTR dashboards

Advanced Woo Search writes every query to aws_searches with term, hits, and last_seen, and indexes product terms in aws_index. SleekView Charts reads those tables and renders top queries, zero-result share, click-through trend, and daily search volume as cards on one screen.

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SleekView Charts dashboard for Advanced Woo Search

Search queries are real demand signal, not just a log

Advanced Woo Search runs a fast indexed search over WooCommerce products and stores every query that customers actually type. Queries land in aws_searches with a term, a hits counter, a last_searched timestamp, and a flag for zero-result searches. The product index sits in aws_index with one row per term-to-product association, plus a type column distinguishing title, content, SKU, and taxonomy matches. The plugin admin includes a search-analytics screen, but it is a flat list, not a dashboard.

SleekView Charts reads both tables and turns the data into chart cards on one screen. A horizontal Bar of the top search terms by hit count. A Donut split of zero-result versus result-yielding queries, the single most actionable shape for merchandising. A Number summing total searches this month. An Area chart of daily search volume from last_searched to see whether site search demand is growing, plateauing, or declining.

The plugin keeps owning the index build, the autocomplete UI, and the relevance configuration. SleekView Charts adds the reading layer search merchants actually want: which terms drive most of the demand, which terms are returning nothing and quietly losing sales, and how the search-volume curve looks against the rest of the catalogue traffic.

Workflow

From aws_searches to a search dashboard

1

Connect the search tables

Add a SleekView data source for aws_searches and aws_index. SleekView reads the schemas and exposes term, hits, last_searched, type, and zero-result flag as typed columns ready for grouping and aggregation.
2

Switch the view to Charts

Flip the view from Table to Charts. SleekView creates a blank dashboard pre-aware of the AWS columns, so term, type, and last_searched are immediately available as group-by axes for new cards.
3

Add chart cards

Pick a card type, a grouping column, and an aggregation. Top search terms by hits, zero-result share, daily search volume, and result-type mix from aws_index all become saved cards reading the live AWS tables.
4

Save and share the dashboard

Save the chart view, scope it per role for merchandising, ops, and content, and optionally embed it on a frontend page so brand managers see search demand without WordPress admin access.

Sample dashboard

Charts you can build from Advanced Woo Search data

Four cards that turn the aws_searches log and the aws_index relations into a working site-search dashboard inside WordPress.
Number · Default

Total searches this month

A single big-number KPI summing the hits counter from aws_searches for the current month, with the previous month underneath for context. Tracks whether site search demand is growing or shrinking week over week.
Sum(hits)
Pie · Donut

Search results mix

A donut split across product title, content, SKU, taxonomy, and zero-result using the type column on aws_index alongside the zero-result flag on aws_searches, surfacing how visitors find what they need.
Count group by type
Bar · Horizontal

Top search terms

A horizontal bar of the top search terms by hit count, grouping aws_searches rows by term. Surfaces the queries that drive most of the on-site demand and inform which SKUs to feature.
Sum(hits) group by term
Area · Gradient

Daily search volume

A gradient area chart of distinct searches per day sourced from last_searched on aws_searches, useful for spotting campaign-driven spikes and the impact of new on-site search prominence.
Count group by last_searched

Comparison

Default Advanced Woo Search admin vs SleekView Charts

Default plugin admin

  • Default admin shows a flat search-analytics list, not a ranked term-volume dashboard
  • No way to combine top terms, zero-result share, and daily volume on one saved view
  • Custom AWS index types are not exposed as a chartable dimension
  • No saved dashboards per role for merchandising, ops, or content teams
  • No frontend embed for brand managers without WordPress admin access

SleekView Charts

  • Configurable chart cards built directly from the aws_searches and aws_index tables
  • Mix Number, Pie, Bar, Line, and Area cards on a single search dashboard
  • Saved chart views scoped per role for merchandising, ops, and content teams
  • Embed any saved chart view on a frontend page with role-based access
  • Queries hit existing indexes on term, type, and last_searched so dashboards stay quick

Features

What SleekView Charts gives you for Advanced Woo Search

Real chart cards on AWS search data

Number, Pie, Bar, Line, Area, Radar, and Radial cards built from the aws_searches and aws_index columns the plugin already writes for every query and every indexed term.

Complements the plugin admin

The plugin admin still owns the index build, the autocomplete UI, and the relevance configuration. SleekView Charts adds the dashboards the analytics screen does not lay out side by side.

Role-scoped sharing

Save dashboards per role and embed them on frontend pages so merchandising, ops, content, and brand partners see only the slice you allow them to read.

Audience

Who builds search dashboards with SleekView

Merchandising teams

Watch the top-terms bar and the zero-result share to find queries that are quietly losing revenue because no product page is indexed against the words customers actually type.

Content teams

Use the result-type mix donut to see how much demand resolves via content rather than products, and shape category descriptions and guides to capture that demand.

Marketing teams

Track the daily search volume area chart against campaigns to spot search demand lift from paid traffic and measure search visibility week over week.

The bigger picture

Site search is demand data, and demand data deserves a dashboard

Advanced Woo Search already collects exactly the data a search-led merchandising team wants: every query, hit count, last-seen timestamp, zero-result flag, and the result type that matched. The reading side is the missing piece, because the plugin's analytics screen is a flat list and the answers a merchandiser wants are comparative: top term against zero-result share against daily volume. SleekView Charts reads the same aws tables and turns them into chart cards on one saved dashboard.

Merchandising sees top terms and zero-result share. Content sees the result-type mix. Marketing sees daily volume against campaign windows.

The plugin keeps owning the index and the autocomplete; SleekView Charts adds the flexible reading layer that turns the analytics screen into a dashboard the whole catalogue team uses.

Questions

Common questions about SleekView Charts for Advanced Woo Search

No. The plugin still owns the index build, the autocomplete UI, the relevance settings, and the per-query troubleshooting. SleekView Charts is a flexible reading layer on the same aws_searches and aws_index tables for dashboards the plugin admin does not lay out side by side.

 

SleekView reads aws_searches for the query log and aws_index for the product-term relations. Each is exposed as a typed data source with term, type, hits, last_searched, and the zero-result flag available as group-by axes on chart cards.

 

Yes. The zero-result flag on aws_searches becomes a first-class group-by axis, so a donut card can split queries that returned nothing from queries that found at least one product. It is the most actionable chart shape for catalogue gap analysis.

 

Yes. Each card is a saved query against the SleekView data source, so a single dashboard can mix cards built on aws_searches and the matching wc_orders rows to estimate search-attributed revenue.

 

Yes. Saved chart views support role-based visibility so merchandising, ops, content, and external brand partners 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 brand partners can read top terms and demand trend without a WordPress admin account.

 

No. SleekView Charts reads the existing AWS tables; it does not sit in the search request path. Cards aggregate against the standard indexes on term and last_searched, so dashboards stay quick even on stores with millions of logged queries.

 

Yes. If you run multiple search plugins, each writes to its own tables. SleekView can add data sources per plugin and a single dashboard can compare query mix and demand across both indexes.

 

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