GITNUXSOFTWARE REVIEW
Data Science AnalyticsTop 10 Best Target Analysis Software of 2026
Editorial roundup of target analysis software for research teams, comparing options and use cases, with Janes as an example.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Similarweb is the best pick for analytics teams shaping target segments because its cross-site and cross-app benchmarking keeps channel and geography comparisons in the same context, whereas Janes fits better when targeting needs evidence-grade, entity-linked mapping you can carry into repeatable list workflows.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Similarweb
Cross-site and cross-app benchmarking that keeps channel and geography comparisons in the same measurement context.
Best for: Fits when analytics teams need competitor and market traffic signals to guide target selection and segment planning.
Quantcast
Editor pickIdentity resolution and audience overlap analysis are built to reduce redundant targeting across cross-device segments.
Best for: Fits when teams need measurement-to-audience workflows for advertising activation, with cross-device identity stitching.
Janes
Editor pickEntity-focused market and capability coverage that preserves source references through export to analytics.
Best for: Fits when targeting requires evidence-grade entity mapping feeding analytics and activation lists.
Comparison Table
Similarweb
enterpriseDigital intelligence platform analyzing website traffic, audience demographics, and competitive benchmarking for target market research.
Cross-site and cross-app benchmarking that keeps channel and geography comparisons in the same measurement context.
Similarweb pairs website and app traffic intelligence with competitive benchmarking to support target analysis for analytics teams. Its core workflow centers on traffic estimates, channel views, and competitor comparisons across geographies, industries, and audience segments.
Teams use those signals to plan where demand is coming from and which sites and apps overlap with a target set. Similarweb data also feeds downstream analysis through export and integration options built for repeatable analysis cycles.
- +Competitor benchmarking across sites and apps with consistent comparative views
- +Channel breakdowns support funnel-style reasoning about acquisition sources
- +Geography and industry filters speed narrowing to relevant demand pockets
- +Export and integrations support recurring analysis workflows outside the UI
- –Audience overlap insights are directional and require careful triangulation
- –Limited governance controls compared with event-first analytics stacks
Competitive intelligence teams
Compare rivals for acquisition patterns
Comparable demand and acquisition patterns
Marketing analysts
Compare channel trends across competitors
Repeatable trend comparisons
Show 2 more scenarios
Market research teams
Size categories by geography signals
Evidence for opportunity selection
Assess industry and regional market potential using traffic, audience interest, channel mix, and competitor presence.
SEO and content teams
Find organic gaps from competitors
Prioritized search opportunities
Use competitor visibility signals such as top pages and search performance to prioritize content and search targets.
Best for: Fits when analytics teams need competitor and market traffic signals to guide target selection and segment planning.
Quantcast
enterpriseAudience measurement and targeting platform using machine learning to model and analyze online audience behavior in real time.
Identity resolution and audience overlap analysis are built to reduce redundant targeting across cross-device segments.
Quantcast focuses on measurement-driven audience creation, with identity resolution and audience modeling connected to activation use cases.
Audience definition supports behavioral signals and segment refresh, with lookalike modeling and overlap detection used to manage reach quality.
Analytics integration relies on tagging and event mapping so conversions and touchpoints can be attributed within a configurable attribution window.
- +Strong identity resolution for cross-device audience stitching
- +Lookalike audience modeling geared for ad targeting workflows
- +Segment overlap detection helps control redundancy across audiences
- +Conversion-focused measurement supports attribution window comparisons
- –Requires disciplined event schema mapping for accurate segment definitions
- –Automation depth depends on external activation and retargeting setup
- –Governance controls are less granular than analytics-first workflow tools
- –Deeper multi-touch attribution model comparisons can be limited
Media planners
Check overlap among audience segments
Balanced reach allocation
Marketing teams
Qualify modeled audiences for campaigns
Consistent audience definitions
Show 2 more scenarios
Privacy operations teams
Handle consent for targeting signals
Ad-tech consent handling
Present consent and opt-out experiences for web and app properties involved in advertising workflows.
Programmatic buyers
Activate segments in display and video
Audience-based campaign execution
Carry modeled audience segments into programmatic buying for display, video, and native placements.
Best for: Fits when teams need measurement-to-audience workflows for advertising activation, with cross-device identity stitching.
Janes
vertical specialistDefense intelligence platform providing structured analysis of military targets, capabilities, and threat environments.
Entity-focused market and capability coverage that preserves source references through export to analytics.
Janes provides target-oriented research outputs that map to organizations, programs, and industries, which reduces the need to rebuild context in a separate modeling tool. Content structure supports repeatable filtering, controlled outputs, and consistent entity rollups for funnel, propensity, or overlap analysis downstream. Integration depth is strongest when analytics teams treat Janes exports as an authoritative input layer and then apply their own modeling and activation steps.
A key tradeoff is that Janes is not a full-purpose attribution engine, so conversion measurement models and event schemas still need to live in the organization’s measurement stack. It fits teams that must refresh targeting lists on a research cadence, then connect those lists to retargeting or audience syndication workflows after identity matching and enrichment.
- +Research-backed entity coverage reduces hand-built market context
- +Repeatable target views support consistent list refreshes
- +Export-ready outputs fit downstream scoring and segmentation
- +Evidence traceability helps analysts defend targeting decisions
- –Less direct support for attribution modeling and event-based analytics
- –Automation depth depends on external integration into modeling tools
- –Segment activation workflows require external identity and publishing steps
- –Querying structured research can require analyst workflow discipline
Defense and security marketing teams
Build account and program target lists
Cleaner targeting hypotheses
Competitive intelligence analysts
Map capabilities to organizations
Faster market mapping
Show 1 more scenario
Growth analytics teams
Refresh audiences from research signals
More consistent audience inputs
Feed evidence-based entities into propensity scoring workflows and segment activation pipelines.
Best for: Fits when targeting requires evidence-grade entity mapping feeding analytics and activation lists.
6sense
enterpriseRevenue AI platform that predicts which accounts are in-market and analyzes target account behavior across the buyer journey.
Buying-journey scoring ties account momentum to role-level engagement signals for targeted prioritization.
6sense ingests first-party engagement and identity signals to score accounts and contacts, then surfaces likely buying momentum through configurable views for analytics and routing. The system supports audience refresh cycles, lead and account prioritization, and attribution-like comparisons tied to engagement outcomes rather than only campaign execution. A strong fit appears when analytics teams need repeatable target lists with operational handoffs to ad platforms and CRM-adjacent workflows.
- +Account scoring connects engagement signals to prioritized target lists
- +Role-based insights help align sales outreach and marketing targeting
- +Automation and API support operational refresh of audiences
- +Configurable dashboards support ongoing performance comparison
- –Identity resolution quality strongly affects account scoring accuracy
- –Model configuration and data onboarding require governance discipline
Revenue operations teams
Route high-intent accounts to owners
Faster follow-up on active buyers
B2B marketing analytics teams
Measure engagement-driven target performance
Higher conversion from target accounts
Show 2 more scenarios
Demand gen operations
Activate retargeting audiences from signals
Improved retargeting relevance
Send refreshed audiences to advertising channels using integration and API workflows.
Sales enablement leaders
Tailor plays by account engagement
Consistent messaging across teams
Translate account signals into playbooks that reflect likely buying stage.
Best for: Fits when analytics teams need scored account targets with operational activation and frequent refresh cycles.
Demandbase
enterpriseB2B account-based platform analyzing and scoring target accounts using firmographic, technographic, and intent data.
Identity resolution that maps anonymous activity to accounts for coordinated segmentation and retargeting activation.
Demandbase brings together first-party onboarding signals with identity resolution to map anonymous visits to known accounts and people. The workflow centers on audience definition, then activation through retargeting and other downstream integrations without leaving the analytics context. Built-in reporting emphasizes account and conversion performance views and can be paired with attribution window and conversion path analysis for multi-step journeys.
- +Account and identity matching designed for B2B targeting
- +Audience definitions connect directly to activation workflows
- +Reporting covers account-level performance with attribution views
- +Role-based access supports shared admin and reporting ownership
- –More custom automation requires external integration work
- –Attribution comparisons can be harder when models differ across channels
Demand gen teams
Retargeting based on account intent
Higher-quality retargeting coverage
Marketing analytics teams
Funnel drop-off reporting by account
More efficient funnel tuning
Show 2 more scenarios
RevOps and marketing ops
Governed audience refresh for campaigns
Consistent audience lifecycle
Schedule audience refresh cadence and control who can modify configuration and view results.
Paid media teams
Attribution-window aligned optimization
Fewer measurement mismatches
Align conversion attribution window views with campaign execution so reporting matches operational decision cycles.
Best for: Fits when B2B analytics teams need account-level targeting plus measurable activation across campaigns.
ZoomInfo
enterpriseB2B data platform providing firmographic and contact data for identifying and analyzing target accounts and buyers.
Identity resolution tooling that links records to ad and CRM identities to stabilize audience activation and deduping.
ZoomInfo compiles company and contact intelligence that analytics teams can use for lead scoring, account targeting, and audience refresh workflows. It pairs enrichment exports with in-app segmentation that supports cohort-style lists for downstream activation.
- +Large contact and firmographic coverage for cold-start targeting and enrichment
- +Segmentation builder supports repeatable audience list definitions
- +Identity resolution helps reduce record mismatch across downstream systems
- +Export formats support common CRM and marketing workflows
- –Limited in-product model comparison for attribution model experiments
- –Audit and RBAC controls require careful admin setup for multi-team use
- –Behavioral event mapping is shallow compared with event-platform tools
- –Audience overlap analysis needs more manual handling than dedicated analytics suites
Account-based teams
Prioritize accounts using intent signals
Higher-priority contact targets
Outbound sales teams
Prepare email outreach for contacts
Ready-to-use contact records
Show 2 more scenarios
Strategy and research teams
Build comparable market contact sets
Structured market scan inputs
Assemble structured company and contact sets using business profiles and firmographic inputs for planning.
B2B sales development teams
Create segmented prospect lists
Segmented lists for outreach
Build contact and account lists using role, organizational, firmographic, and territory-style filters.
Best for: Fits when analytics teams need dependable third-party audience construction for targeting and refresh cycles.
Brandwatch
enterpriseConsumer intelligence and social listening platform analyzing target audience conversations, sentiment, and trends across digital channels.
Identity resolution across social interactions, used to keep audience segments stable across time and channels.
Brandwatch combines social listening data with audience and market research workflows, then exposes it for target analysis teams building segment lists and attribution comparisons. Its core capabilities center on topic and entity tracking, identity resolution across conversations, and audience measurement across channels.
- +Strong identity resolution across social interactions for consistent audience building
- +Automation hooks for refreshing segment definitions from listening and analysis outputs
- +Clear governance via role-based access controls across shared projects
- +Extensible analytics via API-based data access for downstream modeling
- –Target modeling and scoring require external analytics for most advanced workflows
- –Funnel and conversion path analysis depth depends on connected measurement sources
Reputation teams
Track brand narrative and sentiment shifts
Recurring brand health view
Consumer insights teams
Spot emerging topics and interests
Longitudinal interest insights
Show 2 more scenarios
Corporate affairs teams
Alert on reputation and risk signals
Earlier visibility into risks
Track mentions by language, entities, or topics and use alerts to surface notable changes quickly.
Trademark and legal teams
Screen images for visual similarity
Faster visual conflict triage
Search uploaded logo images for visually similar trademark candidates alongside brand conversation context.
Best for: Fits when analytics teams need social-driven audience refresh and controlled sharing across research workflows.
Comscore
enterpriseCross-platform audience measurement platform providing demographic and behavioral data for target audience analysis.
Cross-media audience measurement inputs combined with segment overlap analysis to inform audience selection for targeting.
Comscore differentiates from general analytics tooling by centering audience measurement and cross-media audience intelligence that supports downstream targeting workflows. Its core capabilities map audience segments to identifiable consumer groups using Comscore’s measurement and identity inputs, then support segment delivery for marketing execution.
- +Audience measurement oriented data that supports planning-to-activation use cases
- +Segment comparison workflows for evaluating overlap across audiences
- +Identity and matching inputs tailored for cross-device targeting scenarios
- +Defined export paths for pushing segments into marketing execution environments
- –Limited visibility into event-level modeling knobs compared with data science-first tools
- –Automation depth depends on integration requirements with external activation systems
- –Governance and access controls can feel less granular than analytics-native platforms
- –Event schema mapping work may be needed to align internal tracking with Comscore segments
Media researchers
Compare publisher audience profiles
Comparable audience composition
Studios and distributors
Benchmark release audiences by market
Repeatable release benchmarks
Show 2 more scenarios
Media agencies
Evaluate cross-channel campaign reach
More consistent reach views
Compare audience exposure and performance across digital, television, and video for consistent measurement.
Measurement teams
Run incrementality lift studies
Evidence of effectiveness claims
Assess whether ad exposure is associated with lift or incremental outcomes using structured measurement workflows.
Best for: Fits when audience intelligence and cross-device identity inputs drive targeting decisions for analytics and activation teams.
Meltwater
enterpriseMedia intelligence platform analyzing target audience media consumption, brand mentions, and competitive share of voice.
Media and social signal tracking tied to entity-level monitoring for segment context during audience refresh cycles.
Meltwater combines media and social intelligence with audience-focused analytics that target teams use for competitive monitoring and market sensing. Its target-analysis workflow is anchored in coverage search, topic and entity tracking, and signals that can be translated into segment-level insights for campaign planning and refresh cycles.
- +Strong coverage search across media and social signals for audience context
- +Entity and topic tracking helps keep targeting aligned with named entities
- +Integration paths support pushing segments into activation workflows
- +Built-in analytics reduce dependency on custom data pipelines
- –Attribution modeling depth lags specialist marketing analytics suites
- –Audience overlap style analysis needs careful definition and ongoing tuning
- –Automation and API depth feel lighter than data-science-forward tools
- –Cross-device identity resolution support is not as transparent as in identity vendors
Campaign teams
Monitor launches and audience reactions
Timely campaign response insight
Communications analysts
Schedule recurring stakeholder reporting
More consistent reporting
Show 2 more scenarios
Communications and risk teams
Identify reputation spikes and claims
Earlier issue escalation drivers
Detect coverage spikes, complaints, and emerging claims that can inform audience targeting and messaging.
PR and brand teams
Track brand mentions across sources
Searchable brand visibility view
Monitor brand visibility and narrative changes across news, social, and web sources for target analysis.
Best for: Fits when analytics teams need continuously updated audience signals tied to media and social for targeting briefs and refresh cycles.
Resonate
enterpriseConsumer intelligence platform combining survey and behavioral data to analyze target audience motivations and values.
Audience overlap detection built into the segment workflow to compare retargeting pools before activation.
Resonate targets audience and contact segments for marketing analysis with identity-aware behavioral signals and continuous refresh workflows. Core capabilities include segment creation around engagement behavior, conversion and funnel interpretation, and audience overlap checks for planning retargeting pools.
- +Identity-linked engagement signals support cleaner audience targeting decisions
- +Segment workflows reuse prior audiences for faster iteration across campaigns
- +Audience overlap checks help reduce wasted spend in competing pools
- +RBAC and activity visibility support safer shared analysis work
- –Attribution configuration depth is limited versus analytics-first suites
- –Advanced orchestration depends on external activation workflows
- –Event normalization and mapping can require disciplined setup by teams
- –Throughput can bottleneck when large histories are repeatedly recomputed
Brand measurement teams
Measure response across audience groups
Funnel movement tracking
Media planners
Compare segment intersections for reach
Reduced audience waste
Show 2 more scenarios
Creative and consumer researchers
Evaluate messages using segment panels
Segment-specific message learnings
Compare responses across panel-derived audience groups to test messages and refine campaign hypotheses.
Market research teams
Recruit respondents for B2C surveys
Targeted respondent samples
Define respondent criteria, recruit panel participants, and manage quantitative survey studies for targeting.
Best for: Fits when teams need identity-aware audience refresh plus segment overlap analysis for activation planning without building custom models.
Conclusion
After evaluating 10 target analysis software, Similarweb 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.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Target Analysis Software
Target analysis software helps analytics teams turn identity-linked signals into account or audience hypotheses and then run those definitions into activation workflows. This buyer’s guide covers Demandbase, 6sense, Janes, Similarweb, Quantcast, Resonate, Comscore, Brandwatch, ZoomInfo, and Meltwater.
Demandbase leads the shortlist for account-level identity resolution that maps anonymous activity to targetable accounts. Other tools in the set split the workflow focus between buying-journey scoring, entity-grade market coverage, and cross-site benchmarking for target selection.
Target Analysis Software for identity-linked targeting, audience overlap, and activation planning
Target analysis software processes first-party and partner inputs into targetable segments such as lookalike audiences, scored account lists, and entity-mapped market views. Demandbase is built around identity resolution that ties anonymous activity to accounts so segment definitions connect directly to activation workflows.
Many teams also use these tools to compare pools before sending them to activation, because segment overlap and deduping determine whether retargeting spends on incremental users or redundant audiences. Resonate emphasizes audience overlap detection inside the segment workflow, while 6sense ties account momentum to role-level engagement signals for frequent refresh cycles.
Target analysis capabilities that determine targeting accuracy and activation throughput
Target analysis software must connect identity-linked signals to targetable segments so activation workflows receive definitions that match how users and accounts are measured. The feature set should prioritize identity resolution strength, segment and overlap computation, and automation surfaces that reduce manual rework when audiences refresh.
Identity resolution and account-to-entity mapping
Demandbase maps anonymous activity to accounts for coordinated segmentation and retargeting activation. ZoomInfo links records to ad and CRM identities to stabilize audience activation and deduping.
Buying-journey scoring and refresh cadence support
6sense ties account momentum to role-level engagement signals for targeted prioritization. Resonate refreshes identity-linked engagement signals inside its audience workflow to speed iteration across campaigns.
Audience overlap detection for pool deduping before activation
Resonate compares retargeting pools using audience overlap detection built into the segment workflow. Quantcast uses identity resolution plus audience overlap analysis to reduce redundant targeting across cross-device segments.
Entity-grade market coverage with exportable target views
Janes provides evidence-grade entity mapping and preserves source references through export to analytics. Meltwater ties media and social signals to entity-level monitoring so segment context stays current during audience refresh cycles.
Cross-site and cross-app benchmarking in one measurement context
Similarweb supports competitor and market traffic benchmarking across sites and apps with consistent comparative views. Comscore combines cross-media audience measurement inputs with segment overlap analysis for audience selection.
Attribution and event-driven analytics depth
Demandbase differentiates through identity resolution that maps activity to accounts so activation results tie back to target definitions. Janes focuses more on entity coverage than attribution modeling and event-based analytics, which shifts advanced analytics work to connected tools.
Pick the workflow shape that matches how targeting definitions move into activation
Target teams should choose based on where the system puts its modeling weight. Identity resolution depth, segment overlap computation, and automation surface determine whether audiences stay consistent across refresh cycles or break when activation systems change.
At least two different product philosophies show up in this set. Some tools center account-level identity and activation-ready lists, while others center entity coverage or benchmarking to guide selection and planning.
Start with the identity grain that activation actually uses
If activation runs at the account level, Demandbase is built for account and identity matching that connects audience definitions to activation workflows. If activation depends on stable contact or firmographic records, ZoomInfo provides identity resolution that links records to ad and CRM identities for audience activation and deduping.
Choose the overlap control point that prevents wasted retargeting spend
If segment workflows must block redundant pools before sending audiences out, Resonate includes audience overlap detection in the segment workflow. If cross-device deduping drives redundancy risk, Quantcast pairs identity resolution with audience overlap analysis designed to reduce redundant targeting.
Match scoring depth to whether targeting is prioritization or measurement-first
If the business process requires buying-journey scoring that turns engagement into prioritized targets on frequent refresh cycles, 6sense connects account scoring to prioritized target lists. If the team needs evidence-grade market context that can be exported into analytics, Janes preserves source references through entity mapping rather than focusing on attribution experimentation.
Select analytics context for benchmarking and competitor comparisons
If target planning depends on cross-site and cross-app benchmarking with consistent measurement context, Similarweb supports comparative views with channel breakdowns. If cross-media audience measurement inputs influence selection, Comscore combines cross-media audience measurement with segment overlap workflows.
Decide how much attribution configuration and event modeling the stack must own
If the target system should carry more of the activation measurement linkage, Demandbase aligns identity resolution with activation outputs. If attribution and event-level modeling must come from separate analytics tools, Brandwatch and Janes tend to push advanced funnel and conversion path depth to connected measurement sources.
Who Target Analysis Software fits best based on targeting workflow maturity
Demand analysis targeting often fails when the identity layer and segment logic do not match activation usage. Teams should pick tools that match how their audiences are refreshed and how deduping or overlap checks are enforced. These products fit best when the same definitions must survive multiple campaign cycles and multiple channels, not when audiences are rebuilt manually for each workflow.
B2B analytics and marketing teams building account-level targeting
Demandbase maps anonymous activity to accounts so segment definitions can connect directly to activation workflows that expect account granularity.
Analytics teams operationalizing scoring-driven prioritization lists
6sense links engagement signals to account momentum for scored account targets that support operational activation and frequent refresh cycles.
Performance marketing teams managing retargeting pools across devices
Quantcast combines cross-device identity stitching with audience overlap analysis to reduce redundant targeting across cross-device segments.
Market research teams turning entity coverage into repeatable target lists
Janes provides entity-focused market and capability coverage that preserves source references through export to analytics for repeatable list refreshes.
Paid media and measurement teams relying on competitor and market traffic signals
Similarweb provides cross-site and cross-app benchmarking in consistent comparative views that support target selection based on channel and geography differences.
Common failure points in target analysis deployments
Teams often underestimate how sensitive target definitions are to identity resolution quality and how much overlap handling is needed before activation. Mistakes also happen when event schema mapping and attribution logic are treated as optional after audiences are created.
Treating identity resolution as a one-time enrichment instead of a refresh-critical dependency
6sense explicitly ties account scoring accuracy to identity resolution quality, so poor stitching breaks role-level engagement scoring and corrupts target lists.
Building audiences without enforcing overlap checks at the point of activation
Resonate includes audience overlap detection inside the segment workflow, and skipping that step leads to incremental spend going to redundant pools.
Assuming attribution model experiments will work inside an entity-first or benchmarking-first tool
Janes focuses on entity coverage and repeatable target views and provides less direct support for attribution modeling and event-based analytics, so attribution experimentation must be handled in connected analytics tools.
Using benchmark signals without aligning measurement context across channels and geographies
Similarweb keeps channel and geography comparisons in the same measurement context, and taking benchmark outputs without that shared context makes cross-channel target decisions less consistent.
Overlooking governance needs when multi-team adoption requires auditability and access control
ZoomInfo flags that audit and RBAC controls require careful admin setup for multi-team use, and weak admin discipline can limit who can build or activate audiences safely.
How We Selected and Ranked These Tools
We evaluated Demandbase, 6sense, Janes, Similarweb, Quantcast, Resonate, Comscore, Brandwatch, ZoomInfo, and Meltwater using features-weighted capability coverage plus ease and value signals. Features account for 40% of the score and emphasize identity resolution, audience overlap handling, and how directly segment outputs connect to activation workflows.
Ease and value each account for 30% and emphasize how much external integration and configuration effort is required to keep audiences fresh and usable. Demandbase ranked highest because identity resolution maps anonymous activity to accounts so target definitions connect directly to activation workflows and reduce manual translation between analytics outputs and ad or retargeting usage.
Frequently Asked Questions About Target Analysis Software
How do Demandbase and 6sense differ in identity resolution and account-level targeting workflows?
How does KNIME compare to SAS Viya for target analysis pipelines in analytics environments?
When do Similarweb and Quantcast produce meaningfully different target insights for audience planning?
What breaks if audience refresh cadence is misaligned with segment definitions in Resonate?
Which tools support API-driven automation for turning target analysis outputs into activation-ready audiences?
Where does Brandwatch fall short compared to Demandbase for deterministic identity mapping?
How do Janes and ZoomInfo differ when the goal is evidence-grade context versus CRM-ready audience construction?
What integration workflow is most reliable when combining retargeting pixel execution with audience taxonomy outputs?
How should teams handle RBAC, audit visibility, and admin controls when multiple analysts and marketers share workspaces?
Which approach better fits cross-device targeting needs: Comscore measurement inputs or ZoomInfo identity resolution for deduping?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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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