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Comparison · Analytics
AgencyAnalytics vs modelbased
A side-by-side editorial comparison of AgencyAnalytics and modelbased — release velocity, themes, recent moves, and the top alternatives to consider.
AgencyAnalytics vs modelbased: at a glance
What is AgencyAnalytics?
AgencyAI got skills three weeks ago; everything since has been making them routine.
The cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, so those tasks now run on their own. Around the assistant, the reporting surface keeps widening: advanced filtering on custom metrics and KPIs, client tags, a report shares view, and a MailerLite data source that brings email campaign metrics alongside every other channel.
What is modelbased?
modelbased is turning marginal effects into a full contrast grammar
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
AgencyAnalytics vs modelbased: editorial side-by-side
AgencyAnalytics
6.3ANALYTICS
AgencyAI got skills three weeks ago; everything since has been making them routine.
◆ Current state
The cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, so those tasks now run on their own. Around the assistant, the reporting surface keeps widening: advanced filtering on custom metrics and KPIs, client tags, a report shares view, and a MailerLite data source that brings email campaign metrics alongside every other channel.
◆ Where it's heading
The assistant is being moved from something an operator invokes to something that runs on a schedule against connected client data, which changes it from a feature into part of the reporting pipeline. The integration work continues at its usual pace and serves the same end — the more channels are connected, the more a scheduled skill has to reason over. Filtering and tagging are the plumbing that lets those tasks be scoped to the right accounts.
◆ Prediction
Expect scheduled skills to gain delivery — results pushed into reports or sent to clients — rather than staying inside the assistant panel.
modelbased
0.0ANALYTICS
modelbased is turning marginal effects into a full contrast grammar
◆ Current state
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
◆ Where it's heading
The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.
◆ Prediction
With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.
Alternatives to AgencyAnalytics and modelbased
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either AgencyAnalytics or modelbased.
Fulcrum
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics
Holistics keeps fencing in the AI layer it spent the summer building.
Dovetail
Dovetail spent July opening doors to other tools and August making its own rooms easier to enter.
tulpa
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
NocoDB
Interfaces gets the permissions layer it needed, one release after launching.
See all AgencyAnalytics alternatives → · See all modelbased alternatives →
Recent activity from AgencyAnalytics and modelbased
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoAgencyAnalyticsMailerLite is now available
- 2d agoAgencyAnalyticsSchedule your AgencyAI prompts
- 7d agoAgencyAnalyticsAdvanced filtering for custom metrics and KPIs
- 7d agoAgencyAnalyticsOrganize your clients your way with tags
- 12d agoAgencyAnalyticsReport Shares View
- 12d agoAgencyAnalyticsSkills in AgencyAI ⚡
- 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
- 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
- 6mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
- 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
- 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
- 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
Frequently asked questions
What is the difference between AgencyAnalytics and modelbased?
They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is AgencyAnalytics better than modelbased?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to AgencyAnalytics?
Top AgencyAnalytics alternatives in Analytics are ranked by recent ship velocity. Browse the "AgencyAnalytics alternatives" section above for the current picks, or visit /alternatives/agencyanalytics for the full list with editorial commentary on each.
What are the best alternatives to modelbased?
Top modelbased alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbased alternatives" section above for the current picks, or visit /alternatives/modelbased for the full list with editorial commentary on each.