CRM data quality and deduplication
Asked as “CRM data quality and deduplication tool”, and as “CRM data cleansing tool”, on behalf of a mid-market B2B software company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the eleven products at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
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17Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Insycle34%
Insycle34%02Cleanlist19%
Cleanlist19%03ZoomInfo Operations11%
ZoomInfo Operations11%04DemandTools6%
DemandTools6%05Dedupely6%
Dedupely6%06Cloudingo2%
Cloudingo2%07Plauti0%
Plauti0%08HubSpot Breeze Intelligence0%
HubSpot Breeze Intelligence0%09Clay0%
Clay0%10DataGroomr0%
DataGroomr0%11Apollo.io0%
Apollo.io0%12HubSpot Operations Hub0%
HubSpot Operations Hub0%13Cognism0%
Cognism0%14Openprise0%
Openprise0%15Talend0%
Talend0%16ZoomInfo0%
ZoomInfo0%17Informatica0%
Informatica0%02What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
DemandTools15%
7 of 47 labels negative · 6 of 6 models · 1 hard negative
“the **$999+/year pricing** can be prohibitive for smaller organizations” Mistral Small, negative prompt
Informatica41%
7 of 17 labels negative · 5 of 6 models
“Informatica is powerful but fragmented (built from acquisitions)... requiring dedicated developers and steep licensing” DeepSeek V4 Flash, comparative prompt
ZoomInfo29%
5 of 17 labels negative · 4 of 6 models · 3 hard negative
“the **$15,000+ annual cost** puts it out of reach for most SMBs, and enterprise complexity can overwhelm smaller teams” Mistral Small, negative prompt
Apollo.io23%
5 of 22 labels negative · 4 of 6 models · 2 hard negative
“Tools with Consistently Poor Accuracy Rates - **Apollo.io**: Reported email accuracy around **80%**... "accuracy issues and confusion around the dual credit system"” Mistral Small, negative prompt
03What they cite
Citations exist only for the models that return a source list: four of the six in this edition.
Sites the answers cite
22 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 203 links across 92 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
12 answers · 21 citations · 3 models
vendor site · Cleanlist10 answers · 19 citations · 2 models
vendor site · Cognism7 answers · 10 citations · 2 models
vendor site · SyncMatters7 answers · 7 citations · 2 models
vendor site · ZoomInfo6 answers · 6 citations · 2 models
vendor site · SyncGTM5 answers · 7 citations · 2 models
vendor site · Clearout5 answers · 6 citations · 2 models
vendor site · Findymail5 answers · 5 citations · 1 model
vendor site · Integrate4 answers · 5 citations · 2 models
4 answers · 4 citations · 1 model
vendor site · LinkedIn4 answers · 4 citations · 2 models
vendor site · Prospeo3 answers · 4 citations · 1 model
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
10 answers · 2 models
8 answers · 2 models
6 answers · 2 models
5 answers · 2 models
4 answers · 2 models
4 answers · 1 model
4 answers · 1 model
4 answers · 2 models
3 answers · 2 models
3 answers · 1 model
04How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best CRM data quality and deduplication tool for a mid-market B2B company?”Paraphrase“Which CRM data cleansing tool would you recommend to a mid-sized B2B company?”Comparative“What are the top CRM data quality tools and how do they differ?”Budget-constrained“What is the best CRM data quality and deduplication tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a CRM data quality and deduplication tool. What should we look at?”Negative“Which CRM data quality tools should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
HubSpot read as HubSpot Operations Hub
HubSpot Data Hub read as HubSpot Operations Hub
HubSpot Native read as HubSpot Operations Hub
HubSpot native read as HubSpot Operations Hub
Salesforce read as Salesforce Duplicate/Matching Rules
Unresolved, counted raw
CleanSmart
Clearbit / Breeze
Collibra Data Quality
D&B
Data Loader for Salesforce
DemandTools Elements
DueDil
Google Sheets + Apps Script
HubSpot Data Hub / Data Quality tools
HubSpot's Built-in Tools
HubSpot's Operations Hub Data Quality
HubSpot, Zoho, and Pipedrive
LinkFinder AI
Melissa Clean Suite
Melissa Data Quality Suite
SAP
Salesforce Data Quality / Data Integrity tools
Salesforce"s own Data.com
Salesforce's duplicate/matching rules
Salesforce-native data quality tools
Sejda (Native Salesforce)
Snowball
Zoho
Discontinued, still offered
No shut-down product was recommended here.