SleekView Charts for WP-Members Pro: registration field charts
SleekView reads the wp_usermeta keys WP-Members writes for every custom registration and profile field, joins to wp_users for account context, and renders distribution dashboards showing who your members really are by industry, role, location, or any custom field you collect.
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WP-Members collects rich data, hides aggregation
WP-Members Pro adds robust custom registration and profile fields to WordPress's native user system. Every field you define gets stored as a row in wp_usermeta with the meta_key you configured, attached to the user_id in wp_users. The data is well-structured and easy to query, but the WP-Members admin only shows it one user at a time on the profile screen. There is no aggregated view of what your members actually answered.
SleekView reads the real data path. It queries wp_usermeta for the meta_key values WP-Members writes, joins on user_id to wp_users for registration date and role, and exposes both sides as groupable and filterable in the standard chart builder UI. Aggregate Count for distributions, Sum for numeric fields like budget or revenue, and filter by registration date to scope dashboards to recent cohorts only.
For a site running WP-Members Pro with six to ten custom registration fields, this means immediate insight into the membership. The dashboard can show that 38 percent of members work in B2B, that the most common role is Marketing Manager, that 22 percent first heard about the site through a podcast, and that the average reported team size has grown from 8 to 14 people across the most recent quarterly cohort. Numbers the WP-Members admin never aggregates regardless of how long you've been collecting them.
Workflow
From wp_usermeta to live charts
List your WP-Members fields
Connect wp_users and wp_usermeta
Pick chart and grouping
Publish and digest
Sample dashboard
WP-Members Pro dashboard preview
Members with company set
Count(user_id)
Industry distribution
Count(user_id)
group by meta_value
Role distribution by year
Count(user_id)
group by meta_value
Registrations per industry over time
Count(user_id)
group by user_registered
Comparison
Default WP-Members admin vs SleekView
Default WP-Members admin
- Built-in profile screen shows custom fields one user at a time with no aggregation
- No distribution chart per custom field, you cannot see top industries or roles directly
- Cannot cross-tabulate a custom field against registration year without manual exporting
- No frontend embed for non-admin staff like sales reps who need to see segment data
- Cannot track field completion rates over time as new registrations roll in to the site
SleekView Charts
-
Read
wp_usermetacustom field rows that WP-Members Pro writes for every member -
Join
user_idacrosswp_usersfor registration date and role-aware analysis - Group by meta_value to chart any custom field's answer distribution in one configuration
- Aggregate Count for share charts or Sum for numeric custom fields like budget or revenue
- Filter by meta_key, by user role, by registration date range, all inside the SleekView UI
Features
What SleekView Charts gives you for WP-Members Pro
Field distributions
Build a Pie or Bar for any WP-Members custom field by grouping wp_usermeta on meta_value and filtering on meta_key. The chart shows share-of-members for every answer without writing SQL, opening exports, or building anything outside the standard WP Admin interface.
Cross-tab with cohort
Stack a bar by registration year from wp_users.user_registered to see how custom field answers shift across cohorts. Useful for spotting whether messaging changes are bringing in a different audience and for measuring campaign segmentation effectiveness over time.
Completion tracking
A Number tile counting user_id where a critical custom field is set, divided by total members, gives you completion rate at a glance. Drops in this number can flag a broken WP-Members registration form that needs immediate attention from the team.
Audience
Real WP-Members reporting jobs
Profile your members
A donut of industry distribution plus a bar of role by registration year instantly profiles who your members are. Useful for content marketing, product roadmap calls, and partnership conversations across the membership team and content strategy team.
Measure referral sources
Count meta_value for meta_key='heard_about' across new registrations by week. Shows which acquisition channels are dominating right now, which lets marketing reweight spend without waiting for a quarterly attribution report or external analytics tool.
Cohort comparison
A bar of industry distribution stacked by year_registered shows whether your audience has changed shape over time. Useful for spotting whether your positioning has drifted across the last two or three years of growth and what to adjust next.
The bigger picture
Custom registration fields are the cheapest market research you'll ever do
WP-Members Pro lets you ask members anything you want at signup, and members answer because they're trying to access something. Every field captures market research data for free. Company, role, industry, budget, team size, intended use case, how they heard about you.
That information shapes product, content, and pricing decisions, but only if it's visible. The default WP-Members admin shows it one user at a time, which is functionally useless for any decision involving more than a single member. Most sites end up exporting to CSV quarterly at best.
SleekView puts the distribution of every custom field in front of you inside WP Admin, refreshable in seconds, segmentable by registration year or role, and embeddable on internal pages. Once you can see that 42 percent of your members are agencies and that the share of in-house teams grew 8 points over the last year, the conversation about who you serve and what to build next becomes evidence-driven instead of anecdote-driven across the whole team.
Questions
Common questions about SleekView Charts for WP-Members Pro
WP-Members Pro writes each custom field as a row in wp_usermeta with the meta_key you registered. SleekView reads wp_usermeta and lets you select any meta_key as a filter or grouping. The plugin does not need to know which keys you use in advance, you pick them in the chart builder UI.
Yes. Join wp_usermeta to wp_users on user_id, then group by meta_value and stack the bar by WP role from wp_capabilities meta_key. The chart shows the distribution of the custom field broken down by user role, useful for separating subscribers from contributors when looking at field distributions.
Yes. For numeric fields you can switch the aggregation from Count to Sum, Average, Maximum, or Minimum on meta_value. SleekView casts the string column to a number at query time, so a budget field stored as 5000 in meta_value charts correctly without manual data migration or transformation.
WP-Members stores checkbox and multi-select fields as serialized arrays in meta_value. SleekView includes a string-contains filter and a value-extract option that lets you build distributions on individual values inside the serialized blob, so multi-select fields still chart correctly without external preprocessing.
No. SleekView only queries the database when a dashboard is loaded, never during a frontend registration. WP-Members' own write path to wp_usermeta is untouched and the SleekView query layer caches results. For very large memberships, add an index on meta_key in wp_usermeta to keep things responsive.
Yes. Filter wp_users by user_registered greater than a date you choose, then join to wp_usermeta. The resulting chart only includes meta_values for users who registered after that date. Useful for measuring whether recent campaigns are bringing in a different audience than your historical baseline.
No. Charts aggregate counts and sums of meta_value, not individual user names or emails. Distributions show shares and totals only. You can gate the SleekView admin pages to a specific WP role so non-admin staff cannot view the underlying raw data, only the final aggregated dashboard outputs themselves.
Yes. Every chart has a CSV and JSON export option in its menu. You can also pull the raw aggregated rows behind a chart for further analysis in Excel or BigQuery. Exports include the group-by column and aggregated value, never raw user identifiers unless you explicitly group by user_id in your chart.
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