Attribution and marketing mix modeling · October 2026 Edition
Recast vs Cometly
Zero of fourteen models named Recast first on the direct prompt; zero named Cometly. Recast was named by nine of the fourteen models and Cometly by eight and both carry 15 labels, so the shares below are directly comparable.
Named in one category this edition.
Named in six categories this edition.
First-choice share3%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 17; printed, not drawn.
Labels1515Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Recast reading right to left. Rank and label count are printed, not drawn.Dreamdata was named alongside these two in fourteen of the fourteen direct answers. Dreamdata vs Recast · Dreamdata vs Cometly · Google Analytics 4 vs Recast
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the attribution and marketing mix modeling page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RecastFirst choices, of fourteen modelsCometly
Direct00
Paraphrase00
Comparative01
Budget-constrained011 against Recast
Scale-constrained20
Negative001 against Recast · 1 against Cometly
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Recast and Cometly stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | ||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B |
Recast Cometly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recast on the left and Cometly on the right.The direct prompt
The plain question, one answer per model, grouped by where Recast and Cometly stood in it.
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Kimi K2Dreamdata alternatives: Factors.ai, Recast, Rockerbox
GLM 4.7 FlashXDreamdata alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics
Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Dreamdata, HockeyStack alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream
GPT-5.4 miniDreamdata alternatives: HockeyStack, Measured
Gemini 3.5 FlashCaliberMind alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream
Perplexity SonarDreamdata alternatives: HockeyStack, Improvado, SegmentStream
Grok 4.1 FastDreamdata alternatives: Factors.ai, HockeyStack, Rockerbox
Mistral SmallDreamdata, MixModeler alternatives: Northbeam
DeepSeek V4 FlashDreamdata, Rockerbox alternatives: HockeyStack, Marketing Evolution, Measured
Llama 4 MaverickRockerbox alternatives: Attribution, Dreamdata, Northbeam
Qwen 3.7 FlashRockerbox alternatives: Dreamdata
MiniMax M2.5HockeyStack, Marketing Evolution alternatives: Adobe Marketo Measure, Dreamdata
GPT-6 LunaHockeyStack alternatives: Dreamdata, Paramark
Muse Glimmer 30BDreamdata alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
The order flips: Recast leads at mid-market.
Recast3%#7 of 17Cometly2%#8 of 17Enterprise
Level: the same share of first choices.
Recast2%#11 of 17Cometly2%#– of 17What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Enterprise-grade, managed MMM and multi-touch attribution (MTA) platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year.” Gemini 3.5 Flash · budget prompt · soft negative
“Recast has limitations if you need custom transformations—like modeling promo mechanics with different lag structures per SKU.” Claude Haiku 4.5 · negative prompt · soft negative
“Recast | Self-serve Bayesian MMM, fast refresh, no data science team needed | Companies wanting modern MMM without heavy lift” Kimi K2 · scale prompt · first choice
“If you have 1-2 analysts with intermediate statistics experience, look closely at Recast or Haus.” Gemini 3.5 Flash · scale prompt · first choice
“Add MMM with: Recast ... offers the best balance of modern methodology and mid-market accessibility” Kimi K2 · paraphrase prompt · alternative
What the models said about Cometly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Cometly is built for digital-only marketers; if more than 20% of your spend is in offline channels, it doesn't support those natively” Claude Haiku 4.5 · negative prompt · soft negative
“Cometly (Best for Cost-Effective Multi-Channel Optimization) ... Choose this if you want actionable, daily insights to optimize ad spend without a massive price tag.” Qwen 3.7 Flash · budget prompt · first choice
“Cometly - a self-service attribution platform that combines real-time multi-touch attribution with MMM-style aggregated modeling.” Llama 4 Maverick · comparative prompt · first choice
“Choose Cometly if you’re a performance‑marketing team with high ad spend and need server‑side accuracy.” GLM 4.7 FlashX · direct prompt · alternative
Also compared
Dreamdata vs RecastDreamdata vs CometlyGoogle Analytics 4 vs RecastGoogle Analytics 4 vs CometlyRockerbox vs RecastRockerbox vs CometlyGoogle Meridian vs RecastGoogle Meridian vs CometlyHockeyStack vs RecastHockeyStack vs CometlyMeasured vs RecastMeasured vs CometlyAll twenty-eight head-to-head pages and the full Attribution & MMM standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.