✨ 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
✨ 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 Super Socializer

SleekView Charts reads the the_champ_* usermeta keys Heateor's Super Socializer writes for every linked social account and every per-user share total, and renders the dataset as Number, Pie, Bar and Area cards instead of buried profile fields.

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SleekView Charts dashboard for Super Socializer

Login and share data, finally on one screen

Heateor's Super Socializer captures two adjacent datasets per user: the linked-social-account record (network, first-login timestamp, OAuth token state) and the per-user share total tracked through its share-button counters. Both live as the_champ_* usermeta keys. The default WordPress Users screen ignores both, and the Super Socializer settings panel handles configuration rather than reporting.

SleekView Charts reads the same usermeta and renders a dashboard that joins login and share signal. A Number card counts total linked accounts. A Pie shows the network split across Facebook, LinkedIn, Google and Twitter. A Bar ranks users by shares triggered. An Area trends linked-account creation over time so the team can see whether a campaign drove sign-ups or only short-lived clicks. Marketing finally sees the social-registration funnel as a configurable view instead of a SQL exercise.

Because the charts read what Super Socializer already writes, no extra plugin or API is introduced. The bundled settings panel keeps owning configuration; the SleekView dashboard handles the cross-user reporting the Users screen does not expose.

Workflow

Turn the_champ_* usermeta into a dashboard

1

Read the the_champ_* keys

SleekView scans wp_usermeta for the_champ_login_data, the_champ_fb_details and the_champ_share_count keys, and joins each row to standard wp_users columns like email and registration date.
2

Compose the chart cards

Pick Number, Pie, Bar, Area, Line, Radar or Radial cards. Group by network, first-login date or share-count bucket with Count, Sum, Average, Minimum or Maximum aggregation.
3

Save and scope the dashboard

Name the dashboard ("Social registration health", "Re-engagement queue") and gate it by capability so marketing, support and compliance each see the slice they need.
4

Share or export

Send a stakeholder a read-only URL or export the filtered cohort to CSV. The dashboard refreshes against live usermeta, so campaign reviews stay current without spreadsheet rebuilds.

Sample dashboard

Charts you can build from Super Socializer data

Each card reads from the_champ_* usermeta directly. Mix them to build dashboards for marketing, compliance reviews or a re-engagement planning session.
Number · Default

Total linked accounts

Count of users with at least one the_champ_* social-login record. The headline KPI for a quarterly social-registration review.
Count
Pie · Donut text

Logins by network

Network split across Facebook, LinkedIn, Google and Twitter. The card frequently corrects assumptions about which OAuth provider actually drives sign-ups.
Count group by network
Bar · Horizontal

Top users by shares triggered

Users ranked by the_champ_share_count value. Marketing uses this for influencer-style outreach to engaged registrants who actually share.
Sum(share_count) group by user_id
Area · Gradient

Linked accounts over time

Weekly cadence of new linked accounts from the first-login timestamp. Confirms whether a campaign drove sign-ups or only short-lived clicks.
Count group by first_login

Comparison

Default Heateor admin vs SleekView Charts

Default Heateor admin

  • Login data only visible by editing each user profile
  • Network mix per user cohort requires raw SQL on usermeta
  • Share-count totals live as a counter, not a chart
  • No weekly trend card for new linked accounts over time
  • No way to share a read-only social-registration snapshot outside the profile screens

SleekView Charts

  • KPI card for total users with linked social accounts
  • Pie of the network mix sourced from the_champ_* keys directly
  • Bar of top users by shares triggered for outreach planning
  • Area trend of linked-account creation over time
  • Filters carry between table view and chart view on the same dataset

Features

What SleekView Charts gives you for Super Socializer

Dashboard, not buried meta

Render the_champ_* usermeta as Number, Pie, Bar and Area cards so marketing sees the social-registration funnel rather than opening one user profile at a time.

Filters span table and chart

Filter to LinkedIn-registered users in the chart view and the audit table narrows to the same cohort. Same usermeta, two coherent surfaces.

Compliance-friendly token view

Add a card grouped by token status (valid, expiring, revoked) so re-consent prompts target the right cohort. The plugin tracks the data; SleekView surfaces it.

Audience

Who builds Super Socializer charts dashboards with SleekView

Audience marketing

Show which social network actually brings registrations and which produces the most subsequent shares. The dashboard frequently surfaces a different leader than the team assumed.

Compliance review

Run a card grouped by token status to find revoked or expiring tokens and target re-consent prompts at exactly that cohort, without hand-editing the_champ_ keys.

Re-engagement outreach

Filter by network and shares triggered to build an outreach list of engaged social registrants. The CSV export is the campaign segment, ready to push into the email tool.

The bigger picture

Login and share data deserve more than a profile-edit screen

Super Socializer captures a complete social-registration record per user, plus the share counts those users trigger through the same plugin's share buttons. The data covers OAuth provider, first-login timestamp, token state and share volume per linked account, which is the dataset marketing actually needs for any meaningful social-growth review. The default surface, individual user profiles, makes that data invisible at any scale beyond a handful of accounts.

SleekView Charts reads the same the_champ_* keys and renders them as a configurable dashboard: KPI of linked accounts, pie of network mix, bar of top sharers, area of sign-up cadence. Same usermeta the plugin already writes, completely different posture. The settings panel keeps owning configuration and the share-button rendering, while marketing and compliance get a queryable view they previously had to build by hand.

Questions

Common questions about SleekView Charts for Super Socializer

The the_champ_* usermeta keys Super Socializer writes per linked social account (network, first-login timestamp, OAuth token data) plus the_champ_share_count meta for per-user share totals, joined to standard wp_users columns.

 

No. SleekView Charts reads the same the_champ_ usermeta keys regardless of edition. The Pro version of Super Socializer adds providers and additional share-network options, all of which write to the same prefix and appear in the dashboard automatically.

 

No. SleekView Charts is read-only. Underlying tables and the table view that sits alongside it can support inline edits, but the chart layer never writes; it reads aggregated values for display.

 

Yes. Any network Heateor records in usermeta appears in the network pie automatically. New networks the plugin adds in future versions write to the same the_champ_ prefix and surface without configuration.

 

Yes. Add a filter for network equals LinkedIn (or any other value Super Socializer writes) and every card narrows. Useful when one campaign targets one provider for sign-ups.

 

Yes. Group by first_login with an Area or Line card and aggregate as Count to see daily, weekly or monthly sign-up cadence. Confirms whether a campaign drove durable registrations or short-lived clicks.

 

Group by token status (valid, expiring, revoked) on a Pie or Bar card and the re-consent cohort surfaces directly. A targeted re-consent email follows, rather than a site-wide prompt that annoys still-valid registrants.

 

Yes. Any filtered cohort exports as CSV with the_champ_ fields plus standard user columns. Marketing typically uses this for outreach segments, while compliance uses it for the audit log of token-status reviews.

 

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