SleekView Charts for PMPro Register Helper: custom field charts
SleekView reads the wp_usermeta keys that PMPro Register Helper writes for every custom checkout and profile field, joins them to pmpro_memberships_users for level context, and renders distribution charts that finally answer who your members are and what they answered.
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Register Helper collects rich data, PMPro hides it
PMPro Register Helper lets you add unlimited custom checkout and profile fields to PMPro signups, which is exactly what most membership sites need. The catch is that all that data lands in wp_usermeta with one row per user per field, and PMPro's admin never aggregates it. You can see one user's answers on the profile screen, and that's it. There is no count, no histogram, no per-level breakdown of what your members actually told you.
SleekView reads the real data path. It queries wp_usermeta for the custom field meta_key values you registered with Register Helper, joins on user_id to pmpro_memberships_users for level information, and exposes both sides in a single chart configuration. Group by field value, aggregate Count, filter by level, and the dashboard tells you exactly what the distribution of any answer looks like across your membership.
For a site that collects company size, role, industry, or referral source at signup, this means immediate insight. A typical Register Helper installation collects six to ten custom fields and produces 80 to 200 meta rows per active member. Without SleekView, that data sits unused. With SleekView, you can see in one screen that 42 percent of Gold members work in agencies, that the most common company size is 11 to 50, and that 18 percent heard about you through a podcast referral.
Workflow
From usermeta to live charts
Identify your custom fields
Connect the right tables
Pick chart and grouping
Publish and refresh
Sample dashboard
PMPro Register Helper dashboard preview
Members with company field set
Count(user_id)
Industry distribution
Count(user_id)
group by meta_value
Team size by level
Count(user_id)
group by meta_value
Signups per industry over time
Count(user_id)
group by startdate
Comparison
Default PMPro profile screen vs SleekView
Default PMPro profile view
- Built-in profile screen shows custom fields one user at a time, no aggregation
- No distribution chart per custom field, you cannot see top industries or roles at all
- No way to cross-tabulate a custom field against membership level without manual export
- No frontend embed for non-admin users like sales reps who need to see segments
- Cannot track field completion rates over time as new signups roll in to the site
SleekView Charts
-
Read
wp_usermetacustom field rows that Register Helper writes for every member -
Join
user_idacrosspmpro_memberships_usersfor level-aware distributions - Group by meta_value to chart any custom field's answer distribution in one click
- Aggregate Count for share charts or Sum for numeric custom fields like budget or revenue
- Filter by meta_key, by membership level, and by signup date to scope dashboards precisely
Features
What SleekView Charts gives you for PMPro Register Helper
Field-level distributions
Build a Pie or Bar for any 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.
Cross-tab with level
Stack a bar by membership_id to see how custom field answers vary across PMPro levels. Discovering that 80 percent of Platinum members say their team size is 51 to 200 changes how the sales team writes outreach copy in real-world settings.
Trend over time
Combine startdate from pmpro_memberships_users with a custom field meta_value to plot how answers shift over weeks and months. Spot whether a campaign change altered the mix of industries signing up across recent cohorts.
Audience
Real Register Helper reporting jobs
Profile your members
A donut of industry distribution plus a bar of team size by level instantly profiles who your paying members are. Useful for content marketing, product roadmap calls, and partnership conversations across the whole membership team.
Measure referral sources
Count meta_value for meta_key='heard_about' across new signups by week. Shows which acquisition channels are dominating right now, which lets marketing reweight spend without waiting for a quarterly attribution report.
Track field completion
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 checkout field that needs immediate attention.
The bigger picture
Custom field data is the most underused asset on a membership site
Every PMPro site running Register Helper collects a goldmine of voluntary self-reported data at signup. Company name, role, industry, team size, how they heard about you, what they hope to learn. That information shapes content, sales conversations, partnership decisions, and pricing tiers, but only if it is visible.
The default PMPro admin shows it one user at a time, which is functionally useless for any decision involving more than a single member. Most sites resort to CSV exports into spreadsheets, which means the data only gets looked at quarterly if at all. SleekView puts the distribution of every custom field in front of you inside WP Admin, refreshable in seconds, segmentable by level, and embeddable on internal pages.
Once you can see that 38 percent of your Gold members are agencies and that the share of in-house teams grew 12 points over the last quarter, the conversation about who you serve and what to build next becomes evidence-driven instead of anecdote-driven.
Questions
Common questions about SleekView Charts for PMPro Register Helper
PMPro Register Helper 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 in advance which keys you use, you pick them in the chart builder UI.
 Yes. Join wp_usermeta to pmpro_memberships_users on user_id, then group by meta_value and stack the bar by membership_id. The chart shows the distribution of the custom field broken down across PMPro levels, which is the single most useful view for segmentation work.
 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 in your database.
 Register Helper 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 checkout. PMPro's own write path to wp_usermeta is untouched and the SleekView query layer respects the wpdb cache. For very large memberships, add an index on meta_key in wp_usermeta to keep things responsive.
 Yes. Filter pmpro_memberships_users by membership_id before the join, and the resulting chart only includes meta_values for users on that level. You can build one dashboard per level by duplicating the chart and changing the level filter, all inside the WP Admin UI without writing any code by hand.
 No. Charts aggregate counts and sums of meta_value, not individual user names or emails. Distributions show shares and totals only. You can also gate the SleekView admin pages to a specific WP role so non-admin staff cannot view raw underlying data, only the 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, BigQuery, or another tool. Exports include the group-by column and the aggregated value, never raw user identifiers unless you explicitly group by user_id.
 Pricing
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