SleekView Charts for YITH WooCommerce Popup: popup dashboards
YITH Popup stores each popup configuration as a ywpop post type with display rules in postmeta and tracks impressions and clicks via custom tracking keys. SleekView Charts aggregates that data into a dashboard showing which popups convert and which ones annoy visitors.
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Popup performance as a real signal
Promo popups are the easiest way to wreck site usability without realizing it, and the default YITH Popup admin doesn't tell you when that's happening. Each popup configuration is a ywpop post type with rules, content, and tracking counters in postmeta under keys like _ywpop_impressions and _ywpop_clicks. The records exist, but no admin screen lets you compare popups by CTR or watch impressions drift up while clicks flatten.
SleekView Charts reads wp_posts for the ywpop type and the related postmeta directly. Top performing popups rank on a Bar chart by click-through rate. Total impressions across the site become a Number card. Click-through rate distribution across all active popups lays out on a Donut so the team sees how many popups are pulling their weight and how many are noise. Daily impressions and daily clicks plot on a layered Area so a copy or trigger test proves itself within a week.
The dashboard separates the popups that earn the friction they create from the ones that just annoy visitors. For a site with 12 active popups firing across templates and product categories, that signal is the difference between a useful promotion stack and a usability disaster.
Workflow
Popup dashboards in four steps
Connect popup data
Build popup cards
Save segment dashboards
Drill and export
Sample dashboard
Charts you can build from YITH Popup data
Total impressions this week
Sum(_ywpop_impressions)
Top popups by CTR
Average(ctr)
group by ywpop_id
Trigger type mix
Count
group by trigger_type
Daily impressions vs clicks
Sum(events)
group by tracking_date
Comparison
Default YITH Popup admin vs SleekView Charts
Default plugin admin
- No CTR ranking across the active popup stack
- Total impressions not surfaced as a site-wide KPI
- Trigger type mix requires manual config inspection
- Daily impressions vs clicks not graphed for trend
- Underperforming popups hide in the post list with no signal
SleekView Charts
- Top popups ranked by CTR on a single Bar chart
- Total impressions as one Number reach KPI card
- Trigger type mix on a Donut for stack audits
- Daily impressions vs clicks on a layered Area trend
-
_ywpop_impressionsand_ywpop_clicksdrive every aggregation
Features
What SleekView Charts gives you for YITH WooCommerce Popup
CTR ranking
Bar chart of popups ranked by click-through rate computed from _ywpop_clicks divided by _ywpop_impressions. Marketing finally sees which popups earn the friction they create instead of running every configuration on faith.
Reach KPI
Number card sums total impressions across active popups so marketing has a single reach figure. Comparing week over week reveals whether a launch added or removed visibility from the promotion stack.
Trigger audit
Donut chart of trigger types exposes structural bias in the popup stack. A site running 10 exit-intent popups and zero scroll-triggered ones surfaces the imbalance immediately and the UX team can rebalance.
Audience
Teams getting clarity from YITH Popup data
Marketing
Top popups Bar ranks which configurations to scale, retire, or replicate. Promotion decisions stop being copywriter preference and start being driven by real CTR data from the tracking postmeta.
UX
Underperforming popups with high impressions and low clicks surface as the bottom of the CTR Bar. UX removes the friction without arguing with marketing about which popups to keep.
Experimentation
Daily impressions vs clicks Area proves whether a copy or trigger test moved CTR. The team iterates weekly instead of monthly because the result is visible on a dashboard not buried in a spreadsheet.
The bigger picture
Why popup performance is a debate without a dashboard
Popups generate either incremental revenue or a usability tax, and most teams cannot say which is happening on their own site. YITH Popup tracks impressions and clicks per popup in postmeta cleanly, but the default admin shows the records as a post list with no aggregation. Marketing assumes the popup stack works.
UX assumes it doesn't. Both sides argue from anecdotes because nobody can show the CTR distribution as one view. SleekView Charts aggregates _ywpop_impressions and _ywpop_clicks meta into Bar, Pie, Number, and Area cards in WP Admin.
Marketing keeps the popups that earn their friction, UX removes the ones that don't, and the argument is replaced with a chart that updates every time the page refreshes.
Questions
Common questions about SleekView Charts for YITH WooCommerce Popup
Yes. YITH Popup increments _ywpop_impressions for every render regardless of user state, and SleekView Charts reads the meta directly. Filters can scope cards to authenticated, guest, or all visitors when the question requires that distinction for a specific campaign analysis.
 Yes. Popup display rules in postmeta include the page or template scope. SleekView Charts groups on rule scope so marketing sees CTR on product pages versus archives versus the cart page as separate Bar segments on the same chart.
 Yes. Popups configured with form submission or coupon redemption goals store the goal type and event count in additional postmeta keys. The Bar of top performers groups on goal type so newsletter-signup popups compare against coupon-claim popups fairly.
 Yes. The tracking events are timestamped in the popup history table so cards inherit any dashboard-level date range. Marketing scopes the ranking to last week, last month, or the duration of a specific campaign without reconfiguring each card.
 Yes. Multistep popups track step-level engagement in postmeta alongside the overall impression and click counters. The dashboard can include per-step funnel cards or stay at the popup level depending on whether the question is about overall reach or step drop-off.
 Yes. Device metadata stores alongside the tracking events when device targeting is enabled. The Bar of top popups by CTR groups on device segments so a mobile-only configuration compares fairly against the desktop variant of the same campaign.
 By default, tracking events from known bot user agents filter out at the plugin level. SleekView Charts inherits the same filtering so the impression count matches what marketing would expect to see in any reputable analytics platform without manual bot exclusion lists.
 Yes. Every chart card pairs with a SleekView table view containing the underlying popup records. Sort by CTR ascending, filter to popups below a threshold, and export to CSV for the marketing review where retirement decisions happen each cycle.
 Pricing
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