GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Media Data Services of 2026
Ranked comparison of media data services for media teams, with tradeoffs and criteria from Ipsos, Adelaide, Numeris, Huron, Deloitte, Accenture.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Ipsos is the best fit for media teams that need validated, evaluation-ready audience measurement guidance with consistent governed outputs, whereas Adelaide works better if you’re focused on maintaining reliable attention and media quality datasets across campaigns.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Ipsos
Research operations that support methodology governance for audience measurement studies tied to media evaluation outputs.
Built for fits when media teams require validated audience measurement and evaluation guidance..
Adelaide
Editor pickDeterministic identity resolution configuration that drives consistent reach and frequency outputs across refresh cycles.
Built for fits when media analytics teams need consistent, governed measurement datasets across campaigns..
Numeris
Editor pickCanada-focused panel measurement outputs designed for planning workflows across broadcasters and advertisers.
Built for fits when Canadian media teams need standardized audience measurement outputs for planning and reporting..
Related reading
Comparison Table
Ipsos
enterprise_vendorGlobal market research including media measurement services.
Research operations that support methodology governance for audience measurement studies tied to media evaluation outputs.
Ipsos is a media data service provider built around end-to-end measurement work rather than only shipping raw data extracts. Teams can draw on its research operations for sampling, questionnaire design, data processing, and interpretation that tie audience measurement back to media exposure. Automation support is typically driven by delivery of structured outputs for downstream reporting and analytics, with integration patterns that fit agencies and brand analytics stacks.
A tradeoff appears in turnaround and effort when compared with vendors focused on always-on log feeds, because research-grade processes require defined study scopes and timelines. Ipsos fits best when media teams need validated audience measurement for planning decisions or lift-oriented evaluation where methodology governance matters more than immediate ingestion.
- +Research-grade measurement built on controlled data collection methods
- +Strong study design support for audience measurement and evaluation
- +Clear linkage from exposure questions to reporting outputs
- +Interpretation support for media mix modeling style decisioning
- –Less suited for instant, always-on log-level data pipelines
- –Integration effort increases when workflows require frequent refreshes
- –Custom scopes can add project management overhead
- –Automation coverage can depend on the chosen engagement deliverables
Brand media planning teams
Plan reach and frequency across platforms
More defensible media allocation
Performance analytics teams
Validate incremental audience impact
Incrementality-backed conclusions
Show 2 more scenarios
Agency measurement leads
Standardize reporting for clients
Fewer metric disputes
Consistent research processes help convert audience data into shared reporting frameworks across campaigns.
Media mix modeling teams
Improve model input quality
Tighter model calibration
Ipsos measurement inputs support modeling workflows that require stable audience behavior estimates.
Best for: Fits when media teams require validated audience measurement and evaluation guidance.
More related reading
Adelaide
enterprise_vendorAttention metrics and media quality data services.
Deterministic identity resolution configuration that drives consistent reach and frequency outputs across refresh cycles.
Adelaide fits organizations that want predictable ingestion paths from publisher logs, ad exposure feeds, and measurement exports into a single analysis-ready pipeline. It supports identity resolution approaches for cross-device audience mapping and designed outputs for reach, frequency, and performance reporting workflows. The integration depth is strongest when stakeholders need consistent configuration and repeatable dataset generation rather than one-off extracts.
A common tradeoff is that teams must provide clear source definitions and identity rules to get deterministic behavior where required. Adelaide works best when measurement cadence matters and when media teams need controlled dataset refreshes for lift, incrementality, or media mix modeling handoffs.
- +End-to-end media measurement dataset production for consistent campaign refreshes
- +Configurable identity handling for cross-device audience mapping
- +Integration workflows that map log and exposure inputs into reporting outputs
- +Governance-oriented controls for repeatable dataset generation
- –Deterministic identity outcomes depend on disciplined source and rule definition
- –Integration requires more coordination than tools focused on raw data access
- –Some advanced downstream analytics may need additional configuration work
- –Operational fit is narrower for teams only needing ad hoc extracts
Media analytics teams
Standardize reach and frequency reporting
Comparable campaign-level metrics
Performance measurement leads
Support incrementality and lift studies
Faster dataset turnaround
Show 2 more scenarios
Media mix modeling teams
Feed governed media inputs
More consistent modeling inputs
Adelaide aligns measurement outputs to modeling workflows with controlled refresh behavior.
Demand and planning operations
Activate deterministic audience segments
Cleaner activation-ready cohorts
Adelaide prepares identity-linked audience outputs for planning and activation handoffs.
Best for: Fits when media analytics teams need consistent, governed measurement datasets across campaigns.
Numeris
enterprise_vendorCanadian audience measurement and media data services.
Canada-focused panel measurement outputs designed for planning workflows across broadcasters and advertisers.
Numeris primarily serves media organizations that need consistent audience measurement outputs tied to Canadian viewing and listening behavior. The offering fits teams that rely on panel-based audience measurement pipelines and want predictable data releases for planning and reporting cycles. Integration is typically structured around receiving measurement outputs and aligning them to internal marketing datasets, rather than assembling raw log-level exposure streams.
A tradeoff shows up when a team needs impression-level data or ad server log ingestion for incrementality testing, because Numeris is built around audience measurement rather than raw exposure logs. Numeris is a strong usage fit for annual planning, ongoing reach and frequency reporting, and cross-channel media mix modeling where panel-derived audience signals are the core input.
- +Panel-based audience measurement built for repeatable media planning cycles
- +Consistent Canadian measurement outputs that reduce reconciliation work
- +Structured releases that support recurring reporting and governance
- +Clear alignment to typical broadcast and audio planning workflows
- –Limited fit for impression-level exposure pipelines and log-level inputs
- –Integration effort increases when internal identity stitching differs
- –Customization for niche reporting structures may require project support
- –API automation surface is narrower than log-centric measurement vendors
Media planning teams
Build reach and frequency plans
Faster plan preparation
Marketing analytics teams
Run media mix modeling
More consistent attribution signals
Show 2 more scenarios
Broadcast research groups
Produce campaign reporting
Less metric drift
Generate recurring reach and frequency reporting with measurement releases that support governance.
Agency measurement leads
Align client reporting standards
Reduced reconciliation effort
Standardize measurement baselines across accounts using consistent Canadian audience outputs.
Best for: Fits when Canadian media teams need standardized audience measurement outputs for planning and reporting.
DoubleVerify
enterprise_vendorMedia quality measurement and ad verification data services.
Exposure and viewability measurement outputs designed for operational decisioning across programmatic and CTV inventory sources.
DoubleVerify is a media data service provider focused on measurement and verification-grade signals for programmatic and CTV advertising workflows. It is distinct for its exposure and viewability measurement approach that supports downstream reporting, trafficking decisions, and quality controls across ad exchanges and publisher environments.
The service is built around deterministic identity resolution workflows combined with partner-derived signals, which helps standardize reporting across device and platform boundaries. For teams that need automation through API-based data delivery and controlled access to operational outputs, DoubleVerify’s integration approach fits media operations that already run verification and measurement at scale.
- +Provides detailed exposure and viewability measurement signals for reporting and controls
- +Supports automated data delivery via integration points for recurring media ops workflows
- +Offers consistent measurement outputs across programmatic environments and CTV contexts
- +Includes invalid traffic and quality-oriented outputs used for optimization decisions
- –Implementation requires tighter governance across partners to maintain consistent coverage
- –Advanced configuration takes time for teams without measurement operations experience
- –Signal availability can vary by inventory source, which complicates apples-to-apples reporting
- –Some workflow steps depend on specific integration patterns rather than one-click setup
Best for: Fits when media teams need verification-grade measurement signals integrated into operational reporting pipelines.
Integral Ad Science
enterprise_vendorAd verification and media quality data services.
Invalid traffic and brand safety scoring delivered at impression time with integration-ready signal outputs for downstream controls.
Integral Ad Science performs media quality, brand safety, and suitability checks on ad delivery through publisher and ad ecosystem integrations. Its core deliverables center on impression-level signals, including invalid traffic indicators and content suitability classification, rather than audience segments alone.
Data access patterns emphasize operational data flows that teams can connect to measurement and activation stacks. The service supports automation through programmatic ingestion and configurable governance for how signals are used across campaigns.
- +Impression-level quality signals designed for ad delivery workflows
- +Granular brand safety and content suitability outputs for targeting controls
- +Invalid traffic detection outputs suitable for reporting and filtering
- +Configurable integrations for consistent signal use across partners
- –Signal coverage depends on integration points with the ad supply chain
- –Identity-level attribution outputs are limited compared with deterministic identity providers
- –Governance requires careful mapping of signal definitions into reporting
- –More effort is needed to align data refresh cadence with internal KPIs
Best for: Fits when media teams need impression-level quality and safety signals integrated into measurement and activation pipelines.
Ebiquity
enterprise_vendorIndependent media performance analytics consultancy.
Managed media data processing that standardizes cross-channel measurement outputs from multiple signal sources for repeat campaign use.
Ebiquity delivers media data services built around measurement, audience insights, and channel-level analysis for media teams that need reliable input for reporting and optimization. It is distinct for turning large, messy publisher and platform signals into standardized outputs that buying, analytics, and planning workflows can consume.
The service emphasis centers on deterministic and probabilistic approaches for identity handling, cross-channel consolidation, and operationalization of data for recurring campaigns. Ebiquity also supports ongoing governance via structured deliverables and workflow controls designed for repeat measurement cycles.
- +Operationalizes multi-source media data into consistent campaign-ready outputs
- +Provides identity-resolution handling suitable for cross-channel audience consolidation
- +Delivers measurement-focused analysis aligned to buying and planning workflows
- +Supports recurring data cycles for ongoing reporting and optimization
- –Integration depth can require media analytics engineering effort
- –Automation and API surface are not positioned as a self-serve primary interface
- –Governance requires clear requirements before recurring campaign ingestion
- –Output formats may be better suited to packaged deliverables than raw log access
Best for: Fits when media teams need managed data processing and standardized reporting inputs for ongoing campaigns.
Samba TV
enterprise_vendorTV viewership data and audience insights services.
Samba TV deterministic household identity resolution for connected TV viewing-to-ad exposure measurement.
Samba TV maps and measures connected TV viewing using deterministic panel and identity linking at the household level. The service ingests publisher and platform signals for audience measurement and ad exposure estimation, then exposes outputs through measurement workflows and integration APIs.
Samba TV focuses on automated partner activation patterns used by media teams, not just raw data delivery. Governance controls and operational reporting support ongoing use across campaigns and measurement cycles.
- +Household-level connected TV measurement outputs support consistent reach comparisons
- +Deterministic identity resolution reduces matchup variance versus purely probabilistic approaches
- +Integration and automation workflows fit recurring campaign measurement cycles
- +Clear operational reporting supports ongoing campaign and measurement oversight
- –Best results depend on tight partner instrumentation and data delivery discipline
- –Identity matching coverage is strongest in supported connected TV environments
- –Activation workflows can require customization for each ad stack integration
- –Non-CTV use cases can lose granularity compared with CTV-specific measurement
Best for: Fits when teams need connected TV media measurement with household identity linking and recurring activation workflows.
OzTAM
enterprise_vendorAustralian television audience measurement data services.
Panel-based commercial television measurement outputs are packaged for repeatable reach and frequency planning across media cycles.
OzTAM is Australia’s commercial television audience measurement service with a long-running panel-based data program that many media teams rely on for planning baselines. Core capabilities center on deterministic audience outcomes like ratings, reach, and frequency derived from measured viewing behavior and processed into media measurement outputs.
Data delivery emphasizes consistent, standards-based datasets for broadcast audience reporting rather than open-ended ad-exposure log formats. Admin and governance work typically focuses on controlled access to approved measurement outputs used across buying, reporting, and analytics workflows.
- +Panel-based television measurement data supports consistent ratings and frequency reporting
- +Established dataset consistency reduces churn risk in recurring planning cycles
- +Output aligns with broadcast workflow needs for audience measurement and reporting
- +Data governance around approved measurement outputs fits stakeholder review processes
- –Limited fit for impression-level ad exposure analytics beyond broadcast measurement use
- –Integration depth may require specialist ETL work to align with internal audience models
- –API and automation coverage is narrower than log-based media data providers
- –Deterministic mapping between campaigns and exposures can require additional joins
Best for: Fits when television audience measurement is the planning backbone and governance-controlled access is required for reporting.
Barb
enterprise_vendorUK television audience measurement data services.
Broadcast audience measurement delivery with standardized reach and sharing metrics for repeatable reporting cycles.
Barb supplies real-time media measurement data built for broadcast audiences in the UK. It converts viewing activity into standardized metrics for reach, sharing, and consumption reporting across participating broadcasters and platforms.
The service focuses on consistent operational pipelines for data ingestion, processing, and metric delivery rather than ad-hoc research exports. Barb also supports integrations where downstream teams need dependable measurement outputs for planning and reporting workflows.
- +Operationally consistent media measurement outputs for UK broadcast reporting
- +Standardized metrics reduce reprocessing burden across reporting teams
- +Integration paths support automated metric refresh into downstream systems
- +Clear governance expectations for participating data sources and processing
- –Primarily optimized for broadcast measurement contexts, not cross-channel log feeds
- –Deterministic identity resolution outputs are limited for digital identity mapping
- –Limited flexibility for custom metric definitions beyond the published measurement model
- –Integration requires coordination with measurement schedules and delivery cycles
Best for: Fits when UK media teams need consistent broadcast audience metrics and automated reporting refresh.
RAJAR
enterprise_vendorUK radio audience measurement data services.
RAJAR’s UK-wide standardized reporting for radio and audio audiences from a recurring measurement process.
RAJAR is a UK media measurement service built around radio and audio audience measurement collected from listening diaries and digital measurement. Its distinct value is the provision of standardized audience estimates for broadcasters and ad buyers, which reduces the need for bespoke measurement builds.
Core capabilities center on audience reporting, publication of results, and controlled access to measurement outputs for planning and trading workflows. Integration depth is typically limited to the formats and processes that support RAJAR outputs rather than providing broad log-level data connectivity.
- +Standardized radio and audio audience figures for planning and reporting
- +Established methodology and reporting cadence for consistent internal comparisons
- +Controlled distribution of measurement outputs for stakeholder governance
- +Works well for broadcast teams that need measurement alignment over data engineering
- –Narrow coverage focused on radio and audio, not cross-media log-level datasets
- –Limited extensibility for teams seeking impression-level or ad exposure level feeds
- –Automation surface is constrained compared with data platforms that offer raw data pipelines
- –Provisioning and access coordination can become a process bottleneck for frequent extracts
Best for: Fits when planning and reporting depend on standardized radio and audio audience measurement rather than custom data pipelines.
Conclusion
After evaluating 10 data science analytics, Ipsos 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 media data
Media data services translate audience, exposure, and quality signals into governed datasets that media teams can reuse for reporting, planning, and measurement workflows. This guide covers Ipsos, Adelaide, Numeris, DoubleVerify, Integral Ad Science, Ebiquity, Samba TV, OzTAM, Barb, and RAJAR based on how each provider handles repeatable media measurement outputs and operational delivery constraints.
Across these providers, the most decisive differences show up in identity handling for reach and frequency, the granularity of measurement signals such as viewability and exposure versus panel-level reporting, and the amount of workflow control available for ongoing campaign refreshes. Ipsos emphasizes methodology governance for audience measurement studies tied to media evaluation outputs, while DoubleVerify and Integral Ad Science focus on operational measurement signals for programmatic and CTV environments.
Media data services that turn audience and exposure signals into governed measurement outputs
Media data refers to processed inputs that describe who was reached, what was exposed, and how content quality was observed across channels and devices. In this guide, Ipsos is positioned around research operations that support methodology governance for audience measurement studies that produce evaluation-ready outputs.
Some providers focus on deterministic identity resolution to stabilize reach and frequency outputs across refresh cycles, which is where Adelaide and Samba TV concentrate for governed measurement datasets tied to cross-device or connected TV contexts. Other options anchor on standardized panel or recurring measurement outputs, including Numeris, OzTAM, Barb, and RAJAR, which reduce reconciliation work for planning and reporting cycles but provide less fit for impression-level exposure pipelines.
Category evaluation criteria for media data services
Media data services must translate audience, exposure, and quality signals into datasets that media teams can refresh and reuse without reprocessing every reporting cycle. The highest-impact services minimize reconciliation by aligning identity handling with the measurement granularity the team actually needs.
Four capability areas drive real outcomes in these providers. Identity stabilization for reach and frequency, measurement granularity such as panel versus exposure and viewability signals, and workflow control for recurring refreshes show up as the practical dividing lines across Ipsos, Adelaide, and DoubleVerify.
Identity resolution tuned to your refresh cadence
Adelaide provides deterministic identity resolution configuration that keeps reach and frequency consistent across refresh cycles. Samba TV delivers deterministic household identity resolution for connected TV viewing-to-ad exposure measurement that supports recurring activation workflows.
Measurement granularity that matches the decisions teams make
DoubleVerify focuses on exposure and viewability measurement outputs designed for operational decisioning in programmatic and CTV environments. Numeris and OzTAM center on panel-based audience measurement outputs that support repeatable planning and reporting cycles.
Operational signal coverage for ad quality and brand safety
Integral Ad Science delivers invalid traffic and brand safety scoring at impression time with integration-ready signal outputs for downstream controls. Ebiquity provides managed media data processing that standardizes cross-channel measurement outputs from multiple signal sources into consistent campaign-ready inputs.
Workflow control and governance for measurement studies
Ipsos supports research operations with methodology governance for audience measurement studies that connect to evaluation-ready media outputs. Barb and RAJAR provide standardized broadcast or radio and audio reporting delivery that reduces churn risk in recurring reporting cycles.
Integration and automation surface for ongoing media ops
DoubleVerify supports automated data delivery through integration points for recurring media operations workflows. Ebiquity is positioned around managed processing and standardization, which increases integration depth needs when internal teams expect a self-serve API-first interface.
How to choose the right media data service by workflow fit
Selection should start with the output that must be stable across time, such as governed audience measurement datasets for evaluation reporting or deterministic household linking for connected TV exposure measurement. The next step should match the measurement granularity to the decisions that will be made with the dataset, since exposure and viewability signals require different wiring than panel ratings.
Finally, workflow control matters more than generic data access. Ipsos and DoubleVerify differ most in how governance and operational measurement delivery are handled, so the decision should reflect whether the team runs research studies or runs always-on media operations.
Start from identity stabilization goals for reach and frequency outputs
If deterministic reach and frequency consistency must hold across campaign refreshes, Adelaide centers on deterministic identity resolution configuration. If connected TV measurement must map viewing to ad exposure at the household level, Samba TV uses deterministic household identity resolution to reduce matchup variance.
Match measurement granularity to your operational use case
If operational decisioning depends on exposure and viewability at the signal level, DoubleVerify is built for measurement outputs that integrate into programmatic and CTV reporting pipelines. If planning and reporting depend on repeatable audience figures, Numeris and OzTAM provide panel-based television measurement outputs packaged for consistent media cycles.
Choose governance-heavy research delivery versus standardized recurring reporting
When methodology governance must be tied to audience measurement studies that produce evaluation-ready outputs, Ipsos focuses on research operations that support controlled study design. When UK broadcast reporting or radio and audio planning uses standardized recurring measurement cadence, Barb and RAJAR are centered on operationally consistent reporting outputs.
Decide whether ad quality signals must be captured at impression time
If invalid traffic detection and brand safety scoring need to land with impression-time signals for downstream controls, Integral Ad Science is positioned for impression-level quality and safety outputs. If the workflow requires standardizing multiple signal sources into campaign-ready datasets, Ebiquity emphasizes managed media data processing for cross-channel consolidation.
Validate integration effort against your refresh and pipeline expectations
Teams expecting automated delivery for recurring media ops workflows should evaluate DoubleVerify’s integration points and recurring delivery fit. Teams expecting managed processing should align internal expectations with Ebiquity’s integration depth requirements, since it is not positioned as a self-serve primary interface.
Who media data services are built for
Media teams need providers that convert raw audience, exposure, and quality signals into governed outputs that support reporting, planning, and measurement workflows. The best match depends on whether the workflow is research study governance, measurement operations, or standardized recurring planning datasets.
These provider profiles map cleanly to teams that own identity handling, teams that operate ad quality and measurement signals, and teams that run recurring panel-based reporting cycles.
Media analytics teams running repeatable reach and frequency reporting across refresh cycles
Adelaide is built around deterministic identity resolution configuration that stabilizes reach and frequency outputs across refresh cycles.
Programmatic and CTV teams that require operational exposure and viewability measurement signals
DoubleVerify delivers exposure and viewability measurement outputs designed for operational decisioning and automated data delivery into recurring reporting pipelines.
Connected TV measurement and activation teams that need household-level linkage from viewing to ads
Samba TV provides deterministic household identity resolution for connected TV viewing-to-ad exposure measurement with deterministic matchup behavior.
Canadian broadcasters and advertisers that plan and report using standardized panel outputs
Numeris produces Canada-focused panel measurement outputs that reduce reconciliation work for repeat media planning cycles.
UK media teams that rely on standardized broadcast measurement cycles for reporting consistency
Barb provides broadcast audience measurement delivery with standardized reach and sharing metrics designed for repeatable reporting cycles.
Common buying pitfalls in media data services
Mistakes usually come from choosing a provider whose measurement granularity and identity behavior do not align with the decision cadence. Teams also risk underestimating integration and governance work when partners require disciplined instrumentation or rule definition.
These pitfalls show up repeatedly across Ipsos, Adelaide, DoubleVerify, and Integral Ad Science because each emphasizes a different operational pathway from inputs to governed outputs.
Buying for impression-level operational signals but planning to use only panel-style outputs
DoubleVerify is engineered for exposure and viewability measurement in programmatic and CTV pipelines, while Numeris and OzTAM focus on panel-based planning and reporting cycles.
Assuming deterministic outcomes without formal identity rule discipline
Adelaide deterministic identity resolution outcomes depend on disciplined source selection and rule definition, so identity stability work must be budgeted as governance.
Integrating a quality and safety provider without the ad supply chain hooks needed for signal coverage
Integral Ad Science impression-level quality signals depend on integration points with the ad supply chain, so missing instrumentation will limit brand safety and invalid traffic coverage.
Expecting managed cross-channel standardization to replace API-first automation for ongoing ops
Ebiquity operationalizes multi-source data into consistent outputs, but automation and API surface are not positioned as a self-serve primary interface, which increases media analytics engineering effort.
How We Selected and Ranked These Providers
We evaluated Ipsos, Adelaide, Numeris, DoubleVerify, Integral Ad Science, Ebiquity, Samba TV, OzTAM, Barb, and RAJAR on features, ease, and value. Feature scoring prioritized measurement output fit for media workflows such as methodology-governed audience studies in Ipsos, deterministic reach and frequency in Adelaide, and exposure and viewability signals in DoubleVerify.
Ease and value reflected how each provider supports recurring delivery constraints across measurement and reporting contexts, including standardized refresh behavior in Barb and RAJAR. Ipsos ranked highest because it pairs high feature and ease scores with research operations that support methodology governance for audience measurement studies tied to media evaluation outputs.
Frequently Asked Questions About media data
How do Ipsos and Adelaide handle identity when producing reach and frequency outputs?
Which service is a better fit for exposure and viewability signals in programmatic and CTV reporting pipelines?
How does Samba TV connect connected TV viewing signals to ad exposure measurement for recurring campaign use?
Which provider is best suited to standardized television reach and frequency baselines built for repeatable broadcast planning?
What breaks if media teams try to use Integral Ad Science impression-level quality signals as audience measurement replacements?
How do onboarding and delivery models differ between Ebiquity and Adelaide for managed media data processing?
When does RAJAR fit better than log-level ad exposure data for measurement and reporting workflows?
Which provider is more aligned with governance-controlled access to approved measurement outputs for trading and analytics teams?
How do throughput and data freshness expectations differ between Barb and Samba TV for ongoing reporting refresh cycles?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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