SleekView Charts for MarketMuse
SleekView Charts reads the per-post MarketMuse meta (content score, target score, topic model id) directly from wp_postmeta, and renders the optimised catalogue as Number, Pie, Bar and Area cards.
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An Optimize score is a moment. A catalogue is a programme.
MarketMuse's Optimize app gives a writer a content score and a target. Its WordPress integration writes both numbers, plus the topic model id, on the connected post. After a quarter, the catalogue carries that trail on hundreds of posts and the standard Posts screen surfaces none of it.
SleekView Charts reads the same wp_postmeta. A Number card averages MarketMuse content score across published posts. A Number or Bar reports the average gap between content score and target score, which is the cleanest single number for the optimisation programme. A Pie groups posts by topic model. An Area trends average content score over publish month so quarterly reviews argue about a curve, not a feeling.
Scope is honest: MarketMuse's Briefs, Optimize and topic research stay in MarketMuse. SleekView reports on the WordPress slice the integration writes and the lifecycle the posts go through in the CMS.
Workflow
Turn MarketMuse's post meta into a dashboard
Pick the source posts
Compose the chart cards
Save and scope the dashboard
Share with stakeholders
Sample dashboard
Charts you can build from MarketMuse data
Average content score
Average(_mm_content_score)
Posts by topic model
Count
group by _mm_topic_model_id
Average gap to target
Average(score_gap)
group by _mm_topic_model_id
Average score over time
Average(_mm_content_score)
group by post_date
Comparison
Default MarketMuse reporting vs SleekView Charts
Default MarketMuse reporting
- MarketMuse reports per-document and per-topic, not per-WordPress-catalogue
- WP Posts screen does not surface content score or target score at all
- No gap-to-target view across the live catalogue
- No time series of average content score by publish month inside WP
- No read-only Optimize snapshot to share outside the MarketMuse app
SleekView Charts
- KPI for average MarketMuse content score across the WordPress catalogue
- Pie split of catalogue across topic models
- Bar of average gap-to-target per topic model for refresh prioritisation
- Area trend of average content score over publish month for programme reporting
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for MarketMuse
Catalogue, not just Optimize sessions
Render every MarketMuse-connected post as Number, Pie, Bar and Area cards. SEO leads see catalogue health rather than per-Optimize-session scores.
Filters span table and chart
Filter to one topic model or a score band and both the chart cards and the audit table narrow together. Same meta, same dataset, two surfaces.
Share a read-only snapshot
Send a stakeholder a URL of the catalogue dashboard or export the filtered set to CSV. Quarterly reviews argue about a number, not a feeling.
Audience
Who builds MarketMuse charts dashboards with SleekView
SEO leads
Anchor monthly reviews on average MarketMuse content score and gap-to-target, watch the topic model split and use the time series to confirm compounding.
Content editors
Group posts per topic model to plan refreshes, surface duplicate topical coverage and decide which underperforming posts most deserve an Optimize pass.
Programme owners
Scope the dashboard to a single topic model and report progress with a count, gap-to-target and trend instead of MarketMuse screenshots.
The bigger picture
Why gap-to-target is the right unit for an Optimize programme
MarketMuse already ships the two numbers that matter on every connected post: a content score and a target score. The interesting metric is their gap, and the interesting unit is the catalogue, not the document. A site can ship dozens of well-optimised posts and still average a wide gap-to-target if older content was never refreshed.
The standard WordPress admin does not know about either number. MarketMuse's app reports per-document. SleekView Charts reads the same meta, computes the gap per post and rolls it up into a catalogue-level dashboard with a Number KPI, a topic-model breakdown and a time series.
The conversation shifts from "this post is short of target" to "the catalogue averages an eight-point gap and the trend is closing". That is the conversation worth having.
Questions
Common questions about SleekView Charts for MarketMuse
The MarketMuse meta keys written on each connected post (content score, target score, topic model id) plus standard wp_posts columns like post_status, post_author and post_date. SleekView never calls MarketMuse's API directly.
No. Optimize and Briefs are where individual posts get researched and scored. SleekView Charts governs the WordPress catalogue those posts ship into. They cover different stages of the same workflow.
SleekView derives a per-post score_gap as target score minus content score using the two meta keys MarketMuse already writes. Aggregating Average on that column gives an honest catalogue gap. No additional MarketMuse API calls are needed.
Yes. Group by post_date with an Area or Line card and aggregate Average on the content score meta key. The result is the catalogue's score by publish month.
If no MarketMuse meta is written to wp_postmeta, there is nothing to chart. The dashboard exists for teams that already connect MarketMuse documents to WordPress posts.
Yes. The chart cards and the table view share the same dataset. A filter for one topic model or one score band narrows both surfaces at once.
Yes. Any filtered set behind a chart card exports as CSV with the same columns the table view would show. Programme owners use this for quarterly reporting and external editor briefs.
No. SleekView edits go through standard WordPress hooks and affect WordPress only. The MarketMuse document remains the source for the recommendation. WP is the system of record for what publishes.
Pricing
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