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Retail, proximity and IoT marketing · November 2026 Edition

Radar vs Braze

Two of fourteen models named Radar first on the direct prompt; one named Braze. Radar was named by twelve of the fourteen models and Braze by eleven and Radar carries 31 labels and Braze 21, so the shares are not directly comparable.

Radar

accepted challenger

New York City, United States, founded 2016. Named in two categories this edition.

Braze

accepted challenger

New York City, United States, founded 2011. Named in fourteen categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%24%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 10; printed, not drawn.
Labels3121A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Radar reading right to left. Rank and label count are printed, not drawn.Foursquare Proximity vs Radar · Foursquare Proximity vs Braze · Uniqode vs Radar

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 retail, proximity and iot marketing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RadarFirst choices, of fourteen modelsBraze
Direct211 against Braze
Paraphrase00
Comparative40
Budget-constrained002 against Braze
Scale-constrained01
Negative201 against Radar · 2 against Braze
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 Radar and Braze stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Radar Braze first choice named as an alternative argued againstblank: not namedEach cell is one answer, Radar on the left and Braze on the right.

The direct prompt

The plain question, one answer per model, grouped by where Radar and Braze stood in it.

Radar first, Braze an alternative

2 of 14 modelsBraze was named in the answer but not as the choice, or not at all.
Kimi K2Radar alternatives: CleverTap, Foursquare Proximity, Purple, Uniqode
Muse Glimmer 30BFoursquare Proximity, Radar alternatives: B2Brain, Bluedot, Braze, Captello, CleverTap, GroundTruth

Braze first, Radar not the choice

1 of 14 modelsRadar was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashAdRoll ABM, Braze, Uniqode alternatives: Mobilo, Popl, Propensity

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 mini6sense, Demandbase alternatives: Braze, Foursquare Proximity, Insider, PlotProjects
Perplexity SonarUniqode alternatives: Braze, Radar
Grok 4.20Foursquare Proximity alternatives: Bluedot, PlotProjects, Radar
Mistral SmallFoursquare Proximity, GroundTruth alternatives: Radar
DeepSeek V4 FlashFoursquare Proximity alternatives: CleverTap, GroundTruth, Radar
GLM 4.7 FlashXCleverTap alternatives: Aislelabs, Braze, Foursquare Proximity, Radar
MiniMax M2.5Uniqode alternatives: Braze, HubSpot Marketing Hub, Salesforce Marketing Cloud Account Engagement
GPT-6 LunaPropensity alternatives: Radar, Shared Audiences

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Qujam alternatives: Propensity, Reveal Mobile
Llama 4 MaverickInMarket alternatives: Uniqode
Qwen 3.7 FlashAirify, ToneTag alternatives: BeaconBlaze, Merkle

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
Radar leads by twenty-nine points.
Radar29%#1 of 10
Braze0%#10 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Radar4%#3 of 10
Braze4%#5 of 10
The full mid-market standing →
Enterprise
Radar leads by nineteen points.
Radar21%#1 of 10
Braze2%#4 of 10
The full enterprise standing →

What the models said about Radar

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Radar is a proximity marketing platform that some reviewers advise to avoid, citing its high cost ($500+/mo) and enterprise-grade pricing.” Llama 4 Maverick · negative prompt · hard negative
“Use standard location SDKs (e.g., Radar, Bluedot, or native iOS/Android location APIs) inside your own brand's app” Gemini 3.5 Flash · negative prompt · first choice
“Choose Radar if a development team needs flexible geofencing, visit detection, and location APIs.” Perplexity Sonar · comparative prompt · first choice
“Foursquare and Radar lead in analytics and attribution, with Radar in developer flexibility.” Mistral Small · comparative prompt · first choice

What the models said about Braze

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“notably high negative rating (47% criticized) and is flagged as a "challenger=held" since September 2026, indicating significant criticism or dissatisfaction” Mistral Small · negative prompt · hard negative
Also compared

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.