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Top 10 Best Email Database Services of 2026

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Top 10 Best Email Database Services of 2026

Editorial roundup of top email database services, comparing coverage, data use cases, and compliance needs for teams weighing Melissa.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Email database services turn company and consumer records into deliverable outreach using enrichment, verification, and contact-quality workflows that feed marketing and sales systems. This comparison helps analysts and operators weigh decision tradeoffs like data sourcing breadth, API and integration design, identity resolution coverage, and list governance for use in automation at production throughput.

Melissa is the best pick for revenue and data ops teams that need repeatable enrichment because its integrated address verification improves contact record quality in the same workflows that keep matching consistent, while Dun & Bradstreet is the alternative for B2B revenue operations since business identity and relationship records help align account-level enrichment and outreach lists.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Melissa

Address verification integrated into contact improvement workflows for higher-quality postal and contact records.

Best for: Fits when revenue and data ops teams need enrichment with clean, repeatable matching.

2

Dun & Bradstreet

Editor pick

Business identity and relationship records used to align contact sourcing with account-level enrichment pipelines.

Best for: Fits when revenue operations teams need consistent B2B account identity feeding outreach lists.

3

Acxiom

Editor pick

Identity resolution combined with suppression controls for maintaining consistent, send-ready contacts over repeated refreshes.

Best for: Fits when marketing operations needs recurring email database hygiene with disciplined identity matching.

Comparison Table

1
MelissaBest overall
specialist
9.0/10
Overall
2
enterprise_vendor
8.7/10
Overall
3
enterprise_vendor
8.6/10
Overall
4
enterprise_vendor
8.3/10
Overall
5
specialist
8.0/10
Overall
6
7.8/10
Overall
7
7.4/10
Overall
8
enterprise_vendor
7.2/10
Overall
9
specialist
6.8/10
Overall
10
6.6/10
Overall
#1

Melissa

specialist

Provides email verification, address correction, contact enrichment, and business data quality services.

9.0/10
Overall
Features9.0/10
Ease of Use9.0/10
Value9.0/10
Standout feature

Address verification integrated into contact improvement workflows for higher-quality postal and contact records.

Melissa is a fit for email database teams that need validated inputs and consistent outputs when updating contact records and accounts from CSV or other integration sources. Its enrichment and cleanup flows align with sales operations goals like correcting fields for segmentation and outreach routing. It also supports normalization steps that reduce duplicates during consolidation rather than leaving linkage decisions to analysts.

A tradeoff is that strong outcomes depend on provisioning the right matching rules and field mappings for inbound datasets. Melissa fits best when data operations teams run repeatable pipelines for contact enrichment, CRM cleaning, and record consolidation rather than one-off list exports.

Pros
  • +Returns consistent enrichment and match outcomes for routing workflows
  • +Improves CRM contact records through validation and normalization
  • +Supports deduplication to reduce duplicate consolidation work
  • +Verifies addresses to reduce field errors in forms
Cons
  • –Strong match quality depends on correct field mapping and governance
  • –Address verification adds an extra step in mixed-data pipelines
  • –Complex inbound formats may require data preparation before enrichment
Use scenarios
  • Sales operations teams

    Append missing fields to leads

    More complete records for outreach

  • CRM administrators

    Clean contacts during imports

    Fewer invalid or duplicate entries

Show 2 more scenarios
  • Master data teams

    Deduplicate partner files

    Fewer duplicate records

    Melissa matches incoming partner or customer updates to existing records before consolidation to control linkage.

  • Digital operations developers

    Verify addresses at data entry

    Fewer address-entry errors

    Melissa checks submitted addresses during form entry before writing to operational systems.

Best for: Fits when revenue and data ops teams need enrichment with clean, repeatable matching.

#2

Dun & Bradstreet

enterprise_vendor

Provides commercial business data, company profiles, contact records, and firmographic intelligence.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Business identity and relationship records used to align contact sourcing with account-level enrichment pipelines.

Dun & Bradstreet fits teams that treat an email database as part of a broader account and relationship dataset rather than as a one-time list. Filtering by business attributes supports B2B audience and mailing list building for postal or email outreach, while enrichment use cases align with CRM synchronization and segmentation. The main strength is integration depth around business identity so contact records can be matched and standardized for repeatable workflows.

A tradeoff appears in implementation effort for organizations that need strict list hygiene and automated operations without dedicated data governance ownership. Teams that only want quick exports for a single campaign often face overhead from identity matching steps and mapping work into internal CRM fields. Dun & Bradstreet is a stronger fit when data engineering, revenue operations, or onboarding teams can manage ongoing freshness and governance around the records used in outreach.

Pros
  • +Business identity centric records improve account matching for enriched email database work
  • +Segmentation filters combine firmographic and relationship criteria for tighter outreach lists
  • +API and bulk delivery support repeatable ingestion into CRM and internal systems
  • +Ongoing enrichment supports consistent company attributes across downstream teams
Cons
  • –Workflow setup requires mapping records into internal CRM and outreach systems
  • –Advanced list hygiene depends on governance ownership and operational process
  • –Campaign-only teams may find identity matching overhead disproportionate
Use scenarios
  • B2B lead generation teams

    Email database list building by firmographic filters

    More targeted contact and mailing lists

  • Data engineering teams

    API driven ingestion for enrichment

    Repeatable business data ingestion

Show 2 more scenarios
  • Revenue operations teams

    CRM synchronization and account enrichment

    More consistent account data

    Teams match and enrich account records to standardize organizational relationships for segmentation.

  • Onboarding and credentialing teams

    Persistent business identity for reviews

    Repeatable business verification reviews

    Teams use stable business identities and profile evidence to support recurring credential review workflows.

Best for: Fits when revenue operations teams need consistent B2B account identity feeding outreach lists.

#3

Acxiom

enterprise_vendor

Provides consumer intelligence, audience data, identity resolution, and marketing data services.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Identity resolution combined with suppression controls for maintaining consistent, send-ready contacts over repeated refreshes.

Acxiom’s email database value centers on enriching records with standardized attributes and maintaining match quality across repeated loads for email marketing and marketing operations teams. Identity matching and suppression controls matter most when teams run ongoing segmentation and need consistent record alignment before sending. For governance, Acxiom is most compelling when the organization needs predictable handling of duplicate and suppressed identities across data refresh jobs.

A practical tradeoff is that deeper identity handling and suppression logic tend to require more integration work with CRM or marketing systems than simpler export-only data sources. Acxiom fits when recurring database hygiene is already part of the operating rhythm, such as monthly enrichment refreshes tied to campaign scheduling and re-segmentation.

Pros
  • +Strong identity matching for stable contacts across data refresh cycles
  • +Suppression handling supports cleaner inputs for bulk and transactional email programs
  • +Enrichment improves audience completeness for segmentation and personalization
  • +Repeatable hygiene workflows reduce drift in marketing and CRM databases
Cons
  • –Integration effort rises when workflow must match strict internal governance rules
  • –Operational setup work can be heavier than export-only email database providers
  • –Best results depend on aligning refresh cadence with campaign and CRM sync timing
Use scenarios
  • Marketing operations teams

    Enrich and suppress email audiences

    Cleaner audience inputs for sending

  • CRM administrators

    Keep CRM contacts deduplicated

    More stable marketing database

Show 2 more scenarios
  • Consumer marketing teams

    Build broader consumer audiences

    Segments with fuller profiles

    Combines consumer attributes and identity matching to produce more consistent audience segments.

  • Automotive marketers

    Link leads to vehicle records

    More consistent lead and household

    Links automotive leads with vehicle-related and household data for lifecycle and dealer marketing.

Best for: Fits when marketing operations needs recurring email database hygiene with disciplined identity matching.

#4

Epsilon

enterprise_vendor

Delivers marketing data, identity services, audience records, and campaign activation for enterprise buyers.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Coordinated managed email campaigns that tie audience delivery to recurring execution workflows.

Epsilon is a contact and email data service focused on enabling permission-based marketing programs with campaign-ready audience records. Its core capability centers on data delivery for recurring email operations, including customer data cleansing and segmentation support for downstream activation.

Pros
  • +Managed email campaign operations reduce internal production juggling
  • +Customer data cleansing improves record usability for segmentation
  • +Lifecycle audience coordination supports more consistent personalization
  • +Email database delivery designed for recurring program execution
Cons
  • –Requires operational coordination to align campaigns with provided data
  • –API and integration depth varies by implementation scope
Use scenarios
  • Marketing operations and email production

    Pre-send checks using campaign data

    Fewer send-day surprises

  • Enterprise marketing operations

    Deploy recurring bulk and lifecycle programs

    More consistent campaigns

Show 2 more scenarios
  • Large marketing database teams

    Clean records for better audience use

    More usable customer records

    Teams cleanse and enhance customer records to improve downstream segmentation and identity matching.

  • CRM and customer engagement teams

    Personalize lifecycle audiences

    More relevant journeys

    Teams use customer identity signals to select audiences and coordinate targeted messages across the journey.

Best for: Fits when enterprise lifecycle teams need coordinated email database operations.

#5

Exact Data

specialist

Supplies targeted email lists, postal databases, telemarketing records, and consumer marketing data.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

NAICS code classification exports tied to email database workflows for contracting and compliance review.

Exact Data creates email-focused contact lists with export-ready handling for outbound and marketing teams that need clean, sending-ready files. The service supports contact database cleaning and CRM-ready list creation with deduplication so imported records require less manual reshaping.

Pros
  • +Managed email list building for outbound teams and export workflows
  • +Deduplication and identity matching for cleaner contact imports
  • +CRM-oriented formatting reduces reshaping work after export
  • +NAICS code search with exportable selections for classification tasks
Cons
  • –Works best with list preparation workflows instead of self-serve discovery
  • –Automation depth depends on integration style and operational handoff
  • –Data governance requires disciplined field mapping for CRM imports
  • –API surface is not the primary path for every list request
Use scenarios
  • Email marketing and outbound teams

    Build email-ready contact lists

    More usable email records

  • Database and marketing operations teams

    Clean and validate existing audiences

    Fewer duplicates and invalids

Show 2 more scenarios
  • Revenue operations teams

    Request CRM-ready contact lists

    Less manual import reshaping

    Exact Data creates deduplicated, CRM-friendly contact data with fields formatted for import workflows.

  • Compliance and contracting teams

    Classify businesses by NAICS

    Exportable NAICS selections

    Exact Data supports NAICS code browsing and keyword-based selection and exports selections with descriptions.

Best for: Fits when revenue, database, and compliance teams need managed email list preparation and controlled exports.

#6

Reach Marketing

agency

Provides direct marketing, email list brokerage, audience selection, and campaign management services.

7.8/10
Overall
Features7.8/10
Ease of Use7.9/10
Value7.7/10
Standout feature

Reach Marketing’s data-to-outreach alignment emphasizes business context fields, not only email address lists.

Reach Marketing is an email database service built for teams that need outbound lists tied to business context rather than only raw contact scraping. The service centers on contact records that support lead outreach workflows, including enrichment-style fields that help route messaging by role and company.

Pros
  • +Contact records support role and company targeting for outbound outreach
  • +List delivery can align with CRM and campaign workflows
  • +Workflow fit improves when enrichment fields reduce manual research
  • +Operational focus on list hygiene helps maintain sending reputation
Cons
  • –Governance controls like RBAC and audit logs are limited for larger teams
  • –Automation depth depends on API and webhook readiness for pipeline sync
  • –Coverage varies by geography and niche segments, impacting match rates
  • –CSV export style workflows require more internal cleanup for routing
Use scenarios
  • Sales development teams

    Build role-based account outreach lists

    Higher prospecting throughput

  • Marketing ops teams

    Sync contacts into CRM and automation

    Fewer manual imports

Show 2 more scenarios
  • RevOps teams

    Run outreach with hygiene controls

    Lower bad-send volume

    RevOps apply suppression handling and bounce classification to reduce wasted sends.

  • Agency lead buyers

    Provision client-specific contact batches

    Quicker client launch cycles

    Agencies request fresh prospect batches mapped to client ICP and outreach roles.

Best for: Fits when demand-gen and sales teams need structured email lists with workflow-ready fields.

#7

US Data Corporation

specialist

Sells targeted business and consumer email lists with demographic and geographic selection options.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Suppression handling is built into the email database preparation workflow for outreach readiness.

US Data Corporation prepares email database outputs for outreach workflows using validation, invalid-address removal, and suppression handling. The service is built around producing campaign-ready audience files from defined criteria rather than only supplying raw contacts.

Pros
  • +Email audience prep includes invalid-address removal and suppression handling
  • +Criteria-based audience building supports consumer and business targeting needs
  • +Exports are structured for downstream outreach workflows and file-based ingestion
  • +Multichannel selection supports coordinated email, postal, and phone audiences
Cons
  • –No documented real-time enrichment surface for API-led programs
  • –Workflow depends on file delivery and list processing steps
  • –Limited visibility into governance controls like audit logging is evident
  • –Complex segments require clear upstream requirements and consistent definitions
Use scenarios
  • Email marketing and sales teams

    Prepare cleaned email audience files

    Cleaner outreach audience

  • Integrated direct-marketing teams

    Coordinate multichannel audiences

    Aligned campaign-ready lists

Show 2 more scenarios
  • Consumer marketing teams

    Build location and demographic segments

    Defined consumer target file

    Creates consumer audiences using location, age, household, lifestyle, and related demographic selectors.

  • Direct-mail campaign marketers

    Generate postal records for segments

    Cleaner campaign-ready mail file

    Provides postal records with address normalization and segmentation aligned to campaign needs.

Best for: Fits when teams need managed audience files with list hygiene for outbound email.

#8

Anteriad

enterprise_vendor

Provides B2B data, audience development, lead generation, and managed email marketing services.

7.2/10
Overall
Features7.2/10
Ease of Use7.1/10
Value7.3/10
Standout feature

Team governance with permissioned access for dataset querying and refresh coordination across workspaces.

Anteriad delivers a B2B email database focused on contact reach for sales and marketing workflows, with coverage built around real-world company and role mapping. The service typically pairs dataset access with enrichment-style contact fields, then supports delivery into common tools through API and export formats.

Pros
  • +API-first dataset access supports automated lead workflows
  • +Dataset fields are geared toward contact-level targeting and matching
  • +Export options fit batch enrichment and CRM population
  • +Governance features support team separation and access control
Cons
  • –Data freshness management requires pipeline discipline
  • –Governance and permissions work best with defined internal roles
  • –Complex enrichment scenarios may need additional workflow engineering
  • –Contact accuracy depends on targeting scope and segmentation
Use scenarios
  • revenue operations teams

    Enrich leads via automated API calls

    Higher match rates in outreach

  • sales development teams

    Build account and role targeting lists

    More relevant first-contact emails

Show 2 more scenarios
  • marketing automation teams

    Sync contact data into journeys

    Fewer wasted sends

    Marketing ops can export or integrate contact data into automation flows while applying internal suppression rules.

  • data engineering teams

    Maintain refresh cycles for datasets

    Consistent, current contact datasets

    Data teams can schedule repeat pulls and validate downstream usage inside existing data pipelines.

Best for: Fits when B2B teams need API-driven contact sourcing with controlled access and repeatable refreshes.

#9

Lake B2B

specialist

Provides B2B contact databases with company, role, industry, technology, and geographic attributes.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Recurring audience refresh that aligns enriched contacts with changing records and suppression requirements.

Lake B2B focuses on providing an email database that can be appended into existing business contact records. It supports batch and API-based enrichment so work emails can be filled into CRM-ready rows with controlled field updates.

Pros
  • +Batch and API enrichment for work email appends into existing rows
  • +Controlled field updates for CRM and campaign datasets
  • +Recurring audience refresh for ongoing lifecycle campaign cycles
  • +Validation and formatting for more load-ready campaign contact files
Cons
  • –Governance and update rules require stronger internal ownership
  • –Enrichment coverage is narrower when CRM records lack usable match keys
  • –API usage depth depends on available integration context
  • –Validation output may require additional pipeline mapping for some CRMs
Use scenarios
  • revenue operations teams

    Append work emails to existing CRM

    Existing records gain work emails

  • email marketing operations

    Prepare campaign email contact files

    Fewer invalid or duplicate-prone records

Show 2 more scenarios
  • marketing operations teams

    Refresh enriched audiences each cycle

    Audiences stay current

    Lake B2B refreshes enriched contacts to keep recurring audiences aligned with changing records and suppression rules.

  • sales operations teams

    Enrich missing CRM contact attributes

    Records become more complete

    Lake B2B adds missing contact, company, email, industry, or technology attributes to incomplete CRM records.

Best for: Fits when teams need API or batch enrichment to keep CRM and email audiences current.

#10

Experian Marketing Services

enterprise_vendor

Provides consumer and business marketing data, audience segmentation, and data quality services.

6.6/10
Overall
Features6.6/10
Ease of Use6.5/10
Value6.7/10
Standout feature

Household planning inputs combined with campaign reporting support for marketing workflows.

Experian Marketing Services fits teams that need managed data processing around customer and prospect contact records. The core capabilities center on improving identity consistency, standardizing address fields, and producing audience inputs that marketing workflows can consume.

Pros
  • +Managed hygiene workflows improve downstream segmentation readiness
  • +Address standardization and enrichment support cleaner marketing database records
  • +Household classifications support coordinated audience planning
  • +Measurement support helps align targeting inputs with reporting
Cons
  • –Operational handoff is required for clean, repeatable email database processing
  • –Extensibility depends on integration scope and data exchange method
Use scenarios
  • Database marketing and governance teams

    Improve identity consistency before activation

    More usable marketing records

  • Marketing operations teams

    Standardize postal address fields at scale

    Cleaner address records

Show 2 more scenarios
  • Campaign planners and brand marketers

    Plan audiences using household signals

    Household-oriented targeting inputs

    Experian applies household classifications and lifestyle traits for planning and selection inputs.

  • Marketing analytics and measurement teams

    Connect audience inputs to reporting

    Better linkage to reporting

    Experian provides measurement and analytics support to link targeting inputs with reporting outputs.

Best for: Fits when marketing ops needs governed enrichment and reporting-ready audience files.

Conclusion

After evaluating 10 email database, Melissa stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Melissa

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Email Database

How do RocketReach, Clearbit, and ZoomInfo deliver data into existing sales workflows?
RocketReach and ZoomInfo commonly fit teams that pull contact records into CRM fields through API responses and automation steps. Clearbit often supports API-based enrichment patterns that map contact fields back into the CRM data model for repeatable audience refreshes.
Which integrations and API patterns matter most for Anteriad and Lake B2B refresh cycles?
Anteriad fits workflows that need permissioned dataset access and coordinated refresh coordination across workspaces. Lake B2B supports batch and API-based enrichment so CRM-ready rows can be updated on a schedule without manual reformatting.
When teams need stable identity across refreshes, how do Acxiom and Dun & Bradstreet differ?
Acxiom focuses on pairing contact enrichment with identity resolution so the same person and household can stay consistent across repeated refresh cycles. Dun & Bradstreet ties email and contact sourcing to business identity and relationship records so account identity remains aligned when outreach lists are built from account filters.
What breaks if suppression handling is missing from an outreach pipeline using US Data Corporation or Reach Marketing?
US Data Corporation builds suppression handling into its email database preparation workflow, so removed contacts do not re-enter sendable audiences. Reach Marketing depends on suppression actions and bounce management to keep list hygiene consistent, and missing suppression can cause repeated invalid or unsubscribed outreach.
How should governance controls be handled in Experian Marketing Services compared with Melissa?
Experian Marketing Services fits governance-led teams that need repeatable processing that standardizes address fields and produces reporting-ready audience inputs. Melissa fits data ops teams that need enrichment with validation and structured outputs that plug directly into contact improvement workflows and CRM imports.
How do Exact Data and Epsilon support ongoing list operations without manual reshaping?
Exact Data centers delivery around list production and data preparation, so exported sets are structured for review workflows that feed sending systems. Epsilon centers managed lifecycle execution for permission-based marketing programs, so audience delivery aligns with recurring campaign operations rather than a one-time feed.
What technical onboarding steps are typical for API-led enrichment with Lake B2B and Melissa?
Lake B2B onboarding typically starts by mapping CRM-ready columns to enrichment outputs for controlled field updates, then scheduling refresh runs that update only changed values. Melissa onboarding typically starts by defining match and normalization expectations for incoming lead and contact records, then routing structured results into CRM imports.
How do auditability and admin controls show up in Anteriad versus Acxiom?
Anteriad emphasizes team governance with role-based access and workspace separation so dataset querying and refresh coordination stay controlled. Acxiom emphasizes recurring data hygiene with suppression controls paired to identity matching, which helps keep send-ready inputs stable over repeated cycles.
Where does email validation and deliverability screening matter most, and which vendors support it directly?
Melissa supports address verification workflows that return structured match outputs usable in downstream routing and list hygiene processes. US Data Corporation and Reach Marketing both focus on preparation workflows that remove invalid-address records and manage suppression to keep deliverability screening aligned with outreach output.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Email Database

We separate email database options by how reliably the list stays usable after you load it, how clean the addresses are, and how much control you have over update timing via Update frequency. Those three differences usually decide whether campaigns hit the inbox or bounce back.

Update frequency

Why it matters

Update frequency matters because email databases age quickly, and stale data turns into bounces and wasted outreach. Faster, documented updates typically preserve address quality over time.

How to check

Ask what schedule they follow (for example weekly or monthly) and what triggers an extra refresh. In the demo, request a sample of records with their last-updated date and verify the timestamps are present and consistent.

Address quality scoring

Why it matters

Address quality scoring matters because it signals whether the database will behave predictably at send time. You want a measurable basis for routing risky records out before you deploy.

How to check

Look for a field that indicates address quality (or a comparable flag) and ask what it is based on. Download a small sample export and confirm you can filter by that quality indicator before importing.

Verification workflow transparency

Why it matters

Verification workflow transparency matters because you need to understand what happens before data is shared with your team. Without clarity, you can’t judge how current and consistent the list will be.

How to check

Ask whether verification is done continuously or as a batch step, and what input and output fields they produce. If they offer a demo workflow, watch how a sample file changes through the process and what fields remain.

Suppression and resubscribe handling

Why it matters

Suppression and resubscribe handling matters because lists get messy when people opt out and later change status. Good handling prevents repeated outreach to people who should not be contacted.

How to check

Ask how suppression is applied during import and whether you can reconcile records when status changes. In a demo, run two imports for the same email (once marked as suppressed) and confirm the second does not re-enter the active set.

Data provenance fields

Why it matters

Data provenance fields matter because you need to justify how records were collected and what can be trusted in reports. Clear provenance lets you audit a database snapshot later.

How to check

Request to see the record schema and check for fields that describe collection source and how it is tracked. In the sample export, verify those fields are filled at a practical rate, not only for a small subset.

Red flags

  • Update timing is vague or undocumented
  • Quality indicators can’t be filtered or explained
  • Suppression status changes don’t behave consistently on import

Fit by situation

  • If you run campaigns on a short calendar and reuse lists often, prioritize Update frequency.
  • If you inherit older contacts and need confidence before launch, prioritize Address quality scoring.
  • If your team must prove what happened to records after import, prioritize Data provenance fields.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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