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Identity resolution · October 2026 Edition

FullContact vs LiveRamp Identity Resolution

Zero of fourteen models named FullContact first on the direct prompt; one named LiveRamp Identity Resolution. FullContact was named by nine of the fourteen models and LiveRamp Identity Resolution by thirteen and FullContact carries 16 labels and LiveRamp Identity Resolution 40, so the shares are not directly comparable.

FullContact

accepted challenger

Denver, United States, founded 2010. Named in four categories this edition.

LiveRamp Identity Resolution

criticized challenger

By LiveRamp, San Francisco, United States, founded 2011. Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%40%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 11; printed, not drawn.
Labels1640A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, FullContact reading right to left. Rank and label count are printed, not drawn.Twilio Segment Unify was named alongside these two in eleven of the fourteen direct answers. Hightouch Adaptive Identity Resolution vs FullContact · Hightouch Adaptive Identity Resolution vs LiveRamp Identity Resolution · Twilio Segment Unify vs FullContact

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 identity resolution page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FullContactFirst choices, of fourteen modelsLiveRamp Identity Resolution
Direct011 against LiveRamp Identity Resolution
Paraphrase011 against FullContact · 2 against LiveRamp Identity Resolution
Comparative05
Budget-constrained204 against LiveRamp Identity Resolution
Scale-constrained00
Negative009 against LiveRamp Identity Resolution
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.

Across every category in the October 2026 Edition, FullContact and LiveRamp Identity Resolution were named in the same answer thirty-two times, of the 55 answers naming FullContact and the 133 naming LiveRamp Identity Resolution. In those answers LiveRamp Identity Resolution took the first choice three times and FullContact seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where FullContact and LiveRamp Identity Resolution stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
FullContact LiveRamp Identity Resolution first choice named as an alternative argued againstblank: not namedEach cell is one answer, FullContact on the left and LiveRamp Identity Resolution on the right.

The direct prompt

The plain question, one answer per model, grouped by where FullContact and LiveRamp Identity Resolution stood in it.

LiveRamp Identity Resolution first, FullContact an alternative

1 of 14 modelsFullContact was named in the answer but not as the choice, or not at all.
Mistral SmallLiveRamp Identity Resolution alternatives: Delivr.ai, FullContact, Twilio Segment Unify

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarHightouch Adaptive Identity Resolution alternatives: LiveRamp Identity Resolution, Twilio Segment Unify
Qwen 3.7 FlashDelivr.ai alternatives: LiveRamp Identity Resolution, Twilio Segment Unify
MiniMax M2.5Hightouch Adaptive Identity Resolution alternatives: Demandbase, LiveRamp Identity Resolution, Tealium, Twilio Segment Unify

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniDemandbase alternatives: Informatica MDM, Salesforce Data Cloud, Treasure Data, Twilio Segment Unify
Gemini 3.5 FlashLeanData alternatives: Hightouch Adaptive Identity Resolution, RB2B, Syncari, Warmly, ZoomInfo Operations
Grok 4.1 FastTwilio Segment Unify alternatives: Hightouch Adaptive Identity Resolution, RB2B, Visitor Queue
DeepSeek V4 FlashHightouch Adaptive Identity Resolution alternatives: CustomerLabs 1PD Ops, Twilio Segment Unify
Llama 4 Maverickno first choice
Kimi K2Apollo.io alternatives: BlueConic, Leadspace, Twilio Segment Unify, ZoomInfo
GLM 4.7 FlashXTwilio Segment Unify alternatives: Hightouch Adaptive Identity Resolution, Prospeo
GPT-6 LunaD&B Connect alternatives: Dealfront, RB2B, Twilio Segment Unify
Muse Glimmer 30BLeadspace alternatives: HubSpot Breeze Intelligence, Twilio Segment Unify

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
FullContact leads by ten points.
FullContact10%#1 of 15
LiveRamp Identity Resolution0%#15 of 15
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
FullContact4%#3 of 11
LiveRamp Identity Resolution4%#5 of 11
The full mid-market standing →
Enterprise
The order flips: LiveRamp Identity Resolution leads at enterprise.
LiveRamp Identity Resolution17%#2 of 12
FullContact2%#– of 12
The full enterprise standing →

What the models said about FullContact

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

“FullContact is purpose-built for consumer identity resolution... it is not a B2B prospecting or go-to-market execution platform.” Muse Glimmer 30B · paraphrase prompt · soft negative
“I'd suggest starting with FullContact's free tier or Prospeo's free plan to test capabilities” MiniMax M2.5 · budget prompt · first choice
“If you need a SaaS API quickly with minimal spend: FullContact for general identity resolution” Muse Glimmer 30B · budget prompt · first choice
“FullContact offers great entry points where you can pay for what you use and grow as you go” Claude Haiku 4.5 · budget prompt · alternative

What the models said about LiveRamp Identity Resolution

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

“LiveRamp operates a massive identity surveillance system that ties people's online and offline activity to a single personal identifier, and almost certainly breaks UK and European data protection laws” Muse Glimmer 30B · negative prompt · hard negative
“A class action lawsuit alleges LiveRamp operates "a massive identity surveillance system"... Here's a summary of the key ones to be cautious about” MiniMax M2.5 · negative prompt · hard negative
“Vendors Facing Active Privacy & Class-Action Litigation ... LiveRamp has become a major target for privacy advocates and class-action lawyers” Gemini 3.5 Flash · negative prompt · hard negative
“LiveRamp is arguably the most established player in the space, often viewed as the "standard" for data collaboration and media activation.” GLM 4.7 FlashX · comparative prompt · first choice
“Unrivaled connectivity. It is the gold standard for matching your customer lists directly to Google, Meta, and major DSPs/SSPs” Gemini 3.5 Flash · comparative prompt · first choice
“I'd suggest starting with TransUnion or LiveRamp as they offer strong balance of features, pricing, and scalability” MiniMax M2.5 · paraphrase prompt · first choice
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.