GITNUXSOFTWARE ADVICE
Marketing AdvertisingTop 10 Best Advertising Analytics Software of 2026
Top 10 advertising analytics software ranked by reporting depth, integrations, and data accuracy, with notes on Funnel, Madgicx, and Supermetrics.
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%
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Funnel is the strongest fit for analytics teams that need governed cross-channel attribution dashboards with automated ingestion, while Madgicx works better for marketing ops teams wanting repeatable campaign reporting, and Supermetrics is a smart choice if you’re focused on moving ad metrics into your own spreadsheets or BI stack.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Funnel
Configurable multi-touch attribution window logic combined with automated campaign reporting builds repeatable attribution outputs.
Built for fits when analytics teams need governed cross-channel attribution dashboards with automated metric ingestion..
Madgicx
Editor pickCampaign tracking configuration that keeps attribution logic consistent across recurring reporting cycles.
Built for fits when marketing ops teams need consistent cross-channel measurement with repeatable campaign reporting..
Supermetrics
Editor pickConnector-based ingestion plus an API that enables programmatic refresh for reporting pipelines.
Built for fits when teams need repeatable cross-channel ad reporting with connector-based automation..
Related reading
Comparison Table
Funnel
API-firstMarketing data platform that collects advertising metrics and prepares them for reporting and analysis.
Configurable multi-touch attribution window logic combined with automated campaign reporting builds repeatable attribution outputs.
Funnel’s core workflow centers on collecting conversion events, linking them to ad interactions, and producing campaign performance dashboards with attribution windows that control which touchpoints count. It supports automation by integrating data sources through an API and platform connectors, then using configurable attribution settings for repeatable reporting. Funnel’s data handling is geared toward marketing analytics operations where consistent campaign naming and identity mapping are required to compare performance across platforms. The fit signals are strongest for teams that need attribution consistency and reporting automation rather than only visualization.
A key tradeoff is governance overhead. Attribution correctness depends on disciplined event tracking and campaign mapping, and poor tagging or inconsistent identifiers will skew multi-touch attribution outputs. Funnel fits best when analytics teams already maintain conversion tracking and want to extend it with automated reporting and attribution logic across multiple ad platforms.
- +Multi-touch attribution reporting uses configurable attribution windows
- +API supports automated ingestion of cost and conversion metrics
- +Attribution dashboards can be standardized for repeatable analysis
- +Connectors reduce manual rework when adding ad platforms
- –Attribution accuracy depends on consistent campaign and event identifiers
- –Complex attribution settings require careful operational QA
- –More setup effort than simpler reporting-only analytics stacks
- –Some workflow steps rely on structured upstream tracking discipline
Performance marketing analytics teams
Attribute conversions across multiple ad platforms
More comparable channel performance
Revenue operations teams
Automate conversion and cost reporting
Faster reporting cycles
Show 2 more scenarios
Media buyers
Audit attribution-driven campaign changes
Cleaner optimization decisions
Attribution dashboards show which touchpoints drove conversions to validate campaign mix adjustments.
Marketing data engineers
Operationalize tracking governance
Lower reporting drift
Funnel’s connector and API surface supports structured ingestion so events and campaign IDs stay aligned.
Best for: Fits when analytics teams need governed cross-channel attribution dashboards with automated metric ingestion.
More related reading
Madgicx
SMBPaid social advertising software with campaign analytics, automation, and audience insights.
Campaign tracking configuration that keeps attribution logic consistent across recurring reporting cycles.
Madgicx fits teams that already collect click and conversion events and need consistent reporting across campaigns, creatives, and traffic sources. It supports campaign performance dashboards that connect ad delivery to conversion outcomes for day-to-day optimization and weekly readouts. The differentiation shows up when teams need repeatable configuration for tracking definitions and reporting logic, not just one-off analysis exports.
A notable tradeoff is that thorough measurement requires disciplined setup of tracking inputs and event mapping across each traffic source. Madgicx works best when attribution decisions and reporting windows are managed as part of the marketing operations workflow, such as monthly performance reviews and cross-channel budget shifts.
- +Cross-campaign reporting ties spend to conversion outcomes
- +Configurable tracking logic helps keep definitions consistent
- +Dashboards support ongoing optimization instead of static reporting
- +Workflow-friendly measurement for recurring campaign reviews
- –Requires careful event mapping across each traffic source
- –Attribution configuration can be time-consuming for new pipelines
- –Less suited for teams needing deep data engineering control
- –Reporting granularity depends on upstream tracking completeness
Marketing operations teams
Standardize conversion reporting definitions
Fewer reporting mismatches
Growth marketers
Diagnose cross-channel conversion gaps
Faster budget reallocation
Show 2 more scenarios
Attribution analysts
Apply consistent attribution windows
More comparable insights
Maintain attribution window settings so performance comparisons remain stable across reporting periods.
Performance teams
Run weekly campaign performance reviews
Quicker optimization cycles
Review spend pacing and conversion results in dashboards to guide optimization actions.
Best for: Fits when marketing ops teams need consistent cross-channel measurement with repeatable campaign reporting.
Supermetrics
API-firstMarketing data integration software for moving advertising metrics into spreadsheets, warehouses, and BI tools.
Connector-based ingestion plus an API that enables programmatic refresh for reporting pipelines.
Supermetrics provides connector-driven data ingestion for common advertising sources, which helps teams keep reporting consistent across platforms and dates. It supports scheduled data pulls and structured export outputs so recurring campaign performance dashboards can refresh with minimal operator effort. Integration depth shows up when multiple networks feed the same reporting destination and when data is pulled into a format that analysts can join with internal dimensions.
A tradeoff appears when attribution analysis requires very specific event schemas or identity logic that depends on how each source exposes conversions. Supermetrics fits best when the goal is standardized campaign and conversion reporting across many channels, not when every step must be fully custom end-to-end tracking logic.
- +Broad ad connector coverage for scheduled cross-channel reporting
- +Automation through recurring data pulls into analysis destinations
- +Exports that support joining with internal campaign and audience dimensions
- +API access for integrating pulls into custom reporting pipelines
- –Attribution nuance can be limited by source-level conversion definitions
- –Complex joins require analyst work when destinations use different keys
- –High source variety increases monitoring needs for connector changes
Marketing analytics teams
Weekly campaign performance dashboard refresh
Faster month-to-date reporting
Revenue operations teams
Offline conversion import alignment
Cleaner cross-system KPIs
Show 2 more scenarios
Agency performance analysts
Multi-client reporting automation
Less manual spreadsheet work
Uses connector pulls and repeatable mappings to standardize reporting across clients and campaigns.
BI developers
Custom dataset builds for BI
More reusable BI datasets
Automates data extraction into databases so analysts can build funnel and cohort views.
Best for: Fits when teams need repeatable cross-channel ad reporting with connector-based automation.
Google Ads
enterpriseAdvertising platform with campaign reporting, conversion measurement, attribution, and audience analytics.
Google Ads API supports programmatic bidding and budget changes tied to conversion reporting, with offline conversion imports for non-click outcomes.
Google Ads centers on ad delivery plus reporting for keyword search and shopping performance in one workflow. It supports conversion tracking with configurable attribution windows and defines standard metrics like cost per acquisition, return on ad spend, and conversion rate.
The platform’s integration surface includes Google Ads API for campaign, keyword, bidding, and reporting automation, along with offline conversion imports for joining non-click outcomes to ad interactions. Reporting and optimization are tied directly to account structure such as campaigns, ad groups, and audiences, which makes cross-channel analysis dependent on external analytics setup.
- +API supports automated campaign changes and large-scale reporting extraction
- +Conversion tracking includes configurable attribution windows and post-click measurement
- +Built-in reporting links costs, clicks, and conversions at campaign and keyword levels
- +Offline conversion import enables extending Google Ads outcomes beyond web-only events
- –Cross-channel measurement needs external tooling for incrementality and marketing mix modeling
- –Granular audience performance reporting can require careful tag and conversion configuration
- –Search and Shopping reporting can fragment when account structure is inconsistent
- –Change management is limited inside the UI for complex multi-account governance
Best for: Fits when search and shopping teams need conversion-linked reporting and API automation within ad accounts.
AppsFlyer
vertical specialistMobile measurement platform for advertising attribution, campaign analytics, and fraud protection.
Identity resolution tuned for mobile ad attribution, paired with configurable event intake and measurement logic.
AppsFlyer collects mobile attribution signals and maps them to app installs and downstream conversions across channels. It is distinct for its identity resolution workflows and for supporting both click and impression pathways in campaign measurement.
Its advertising analytics coverage includes campaign performance dashboards, conversion tracking, and server-side integration patterns for controlled event intake. Automation and extensibility center on API-driven configuration and reporting that reduces manual reconciliation between ad platforms and internal events.
- +Strong identity resolution for matching users across sessions and touchpoints
- +Click and impression measurement for view-through reporting workflows
- +API-first reporting and event intake for automation and integration depth
- +Granular campaign performance dashboards for diagnosing channel and campaign variance
- –Attribution and event pipelines require disciplined setup to avoid mismatched joins
- –Complex cross-channel reporting can slow troubleshooting during rapid campaign changes
- –Some advanced workflows depend on technical integration work and ongoing maintenance
- –Governance across many event schemas can become administratively heavy
Best for: Fits when mobile teams need controlled conversion measurement across ad networks and internal events.
Triple Whale
vertical specialistEcommerce analytics platform for advertising attribution, customer metrics, and store performance reporting.
Shopify-first revenue attribution dashboards that blend paid media performance with customer cohort and lifetime revenue views.
Triple Whale centers advertising analytics on Shopify commerce data, tying ad spend and conversion outcomes to revenue and customer cohorts. It provides automated reporting that updates campaign performance views and diagnoses tracking gaps across connected ad accounts.
Dashboards focus on store-level funnel metrics like conversion rate, customer acquisition cost, and return on ad spend with inputs from both ad platforms and commerce events. The strongest differentiator is its commerce-first attribution and ROAS analysis workflow built for teams running frequent paid acquisition cycles.
- +Shopify revenue and cohort reporting ties ad spend to retained customer value
- +Automations keep campaign reporting and metrics current without manual spreadsheet work
- +Attribution views clarify which touchpoints drive conversion and purchase outcomes
- +Connectivity to ad accounts reduces the effort to reconcile spend and conversions
- –Best results assume Shopify data availability and consistent commerce event tracking
- –Advanced modeling needs careful setup of events and attribution windows
- –Multi-store governance can require extra configuration for clean separation
- –Some cross-channel measurement depth depends on connector coverage
Best for: Fits when teams run Shopify paid acquisition and need automated ROAS and cohort reporting with attribution context.
Improvado
enterpriseMarketing analytics infrastructure for collecting, modeling, and reporting advertising data.
Metric automation with centralized definitions and scheduled rebuilds across connectors reduces cross-source reporting drift.
Improvado is built for advertising analytics teams that need connector-heavy reporting across many ad platforms and data warehouses. It focuses on automating data ingestion, metric standardization, and scheduled dashboard refreshes so performance reporting stays consistent across campaigns and accounts.
The system includes configuration for attribution and conversion reporting outputs, plus an API layer for automation and custom integrations. Governance features center on controlled access and auditability for multi-user analytics workflows.
- +High connector coverage for multi-platform ad spend and conversion reporting
- +Automation for scheduled metric builds reduces manual dashboard maintenance
- +API and integration options support custom pipelines and downstream tooling
- +Consistent metric definitions across accounts improves cross-team comparability
- –Attribution configuration takes careful setup to match team assumptions
- –Governance controls require deliberate role and permission design
- –Advanced custom metrics may require engineering-style configuration
- –Complex funnel views can be slower when pulling large reporting windows
Best for: Fits when mid-market analytics teams need cross-channel reporting automation with controlled access and API extensibility.
Singular
vertical specialistMarketing analytics platform for mobile attribution, user acquisition, and advertising cost measurement.
Identity-first reconciliation that links conversion events back to campaign touches for consistent cross-source reporting.
Singular targets advertising analytics by unifying attribution and conversion data across ad platforms and owned channels in one measurement workflow. The system centers on click and conversion event ingestion plus identity resolution so offline and web outcomes align to the same users and campaigns.
Automation features handle recurring mapping and reconciliation, which reduces manual work when campaigns and parameters change. API-based data access and partner connector hooks support deeper integration for teams that need custom reporting and export.
- +Event ingestion supports both ad-driven and owned-channel conversion sources
- +Identity resolution helps merge campaign touches to the same user journeys
- +Automation reduces repetitive mapping work for changing UTM and campaign structures
- +API and exports fit custom dashboards and warehouse pipelines
- –Data accuracy depends on disciplined parameter governance across ad accounts
- –Attribution configuration can be granular and time-consuming for new setups
- –Deep reporting still requires analyst effort for multi-touch interpretation
- –Connector coverage may require manual mapping for uncommon ad sources
Best for: Fits when marketing and data teams need cross-channel attribution plus API access for custom analytics workflows.
Whatagraph
SMBMarketing reporting platform for automated advertising dashboards and client performance reports.
Automated scheduled reports that render from connected ad sources into reusable templates for recurring stakeholder delivery.
Whatagraph pulls ad performance data from multiple advertising channels and renders it into automated reporting for campaign and funnel KPIs. Report building centers on scheduled exports, dashboards, and branded deliverables that update from connected ad accounts. The differentiator is a workflow-first approach that connects connectors, templates, and repeatable views so teams can standardize measurement across clients or business units.
- +Scheduled reporting reduces manual pull requests and spreadsheet cleanup
- +Connector coverage supports multi-channel campaign performance dashboards
- +Template-driven layouts keep client reporting consistent across reporting cycles
- +Filters and segmentation options support targeted review of spend and outcomes
- –Attribution and incrementality methods are limited compared with measurement-focused suites
- –Data refresh timing can constrain real-time pacing views for fast-moving campaigns
- –Cross-account governance requires disciplined access management on connected sources
- –Custom calculations depend on the reporting model available in templates
Best for: Fits when marketing teams need automated, connector-based dashboards and client-ready reporting with consistent formatting.
HYROS
vertical specialistAdvertising attribution software that connects campaigns with leads, sales, and revenue outcomes.
HYROS Revenue attribution ties spend to conversion outcomes and provides action-ready reporting for optimization cycles.
HYROS targets performance marketers who measure campaigns from ad click to revenue outcome and want that linkage reflected in reporting decisions.
Core capability focuses on conversion tracking and attribution that uses downstream events to evaluate campaign performance beyond clicks.
Automation around event ingestion and measurement reduces the gap between media platform data and business outcomes.
- +Revenue-based attribution connects ad performance to real conversions
- +Automation reduces manual reconciliation across ad platforms and CRM events
- +Workflow-oriented dashboards support rapid budget decisions
- +Integrates tracking with conversion events for closed-loop reporting
- –Attribution accuracy depends on consistent conversion event implementation
- –Advanced setup needs disciplined configuration of tracking sources
- –Limited fit for teams focused only on analytics without ad-to-revenue linkage
- –Data completeness varies when conversion events are delayed or partial
Best for: Fits when performance marketing teams need ad-to-revenue measurement with workflow automation.
Conclusion
After evaluating 10 marketing advertising, Funnel 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 advertising analytics software
Advertising analytics software consolidates spend, clicks, impressions, and conversion outcomes from ad platforms into reporting surfaces that teams can refresh on schedules or via API calls. This guide covers Funnel, Madgicx, Supermetrics, Google Ads, AppsFlyer, Triple Whale, Improvado, Singular, Whatagraph, and HYROS.
Each tool in this set routes data differently. Funnel and Madgicx focus on governed cross-channel attribution reporting, while Supermetrics and Whatagraph prioritize connector-based ingestion and recurring dashboards. AppsFlyer and Singular emphasize identity resolution workflows, and Google Ads ties reporting to conversion-linked automation inside search and shopping ad accounts.
Advertising analytics software for cross-channel reporting, attribution, and conversion-linked automation
Advertising analytics software ingests ad platform and conversion signals to produce campaign performance dashboard outputs tied to attribution windows, event definitions, and reporting refresh workflows. Many teams use attribution logic to connect conversion outcomes back to touchpoints across channels instead of relying on single-platform reporting.
Funnel uses configurable multi-touch attribution window logic combined with automated campaign reporting builds repeatable attribution outputs for governed dashboards. Supermetrics provides connector-based ingestion plus an API that enables programmatic refresh for reporting pipelines that feed analysis destinations and keep metric pulls consistent across cycles.
Evaluation features for advertising analytics software
Reliable advertising analytics starts with a governed attribution workflow so teams can publish consistent multi-touch reporting across campaigns and time windows. These capabilities decide whether dashboards stay comparable across connector pulls, identity resolution, and event definitions.
Attribution window logic and repeatable campaign reporting
Funnel provides configurable multi-touch attribution window logic plus automated campaign reporting to standardize attribution outputs for governed cross-channel dashboards. Madgicx keeps attribution logic consistent across recurring reporting cycles for repeatable cross-channel measurement.
API and automation surface for scheduled ingestion
Supermetrics combines connector-based ingestion with an API that supports programmatic refresh for recurring reporting pipelines. Improvado automates scheduled metric builds across connectors using centralized metric definitions and scheduled rebuilds.
Connector-based dashboard rendering and stakeholder-ready templates
Whatagraph renders automated scheduled reports from connected ad sources into reusable templates for recurring stakeholder delivery. Supermetrics also targets recurring cross-channel reporting, but it focuses on connector pulls feeding analysis destinations through automation.
Identity resolution for mobile and cross-source reconciliation
AppsFlyer focuses on identity resolution tuned for mobile attribution with click and impression measurement workflows for view-through reporting. Singular provides identity-first reconciliation that links conversion events back to campaign touches for consistent cross-source reporting.
Revenue and cohort reporting tied to commerce outcomes
Triple Whale is Shopify-first and blends paid media performance with customer cohort and lifetime revenue views. HYROS ties spend to conversion outcomes with revenue-based attribution and workflow automation for ad-to-revenue measurement.
Cross-platform governance controls for metric definitions and access
Improvado includes governance controls that require deliberate role and permission design to keep metric definitions consistent across teams. Funnel uses careful operational QA for attribution settings so multi-touch outputs match consistent event and campaign identifiers.
How to choose advertising analytics software by workflow and integration depth
Start by matching the product to the measurement workflow that actually drives decisions in the buying team. The fastest way to waste engineering cycles is to pick a tool whose attribution or ingestion model does not align with how conversion events and campaign identifiers are maintained.
Then validate extensibility with the same integration pattern used in the stack, like connector scheduling or API-driven refresh. Tools like Funnel and Madgicx concentrate on attribution logic, while Supermetrics and Whatagraph concentrate on connector-driven reporting surfaces, and AppsFlyer and Singular concentrate on identity reconciliation.
Select the attribution model based on whether governed multi-touch windows matter
Choose Funnel when the team needs configurable multi-touch attribution window logic and automated campaign reporting to keep attribution outputs repeatable across governed cross-channel dashboards. Choose Madgicx when recurring reporting requires tracking configuration that keeps attribution logic consistent over time.
Pick the ingestion philosophy that matches how reporting gets refreshed
Choose Supermetrics when automated connector-based ingestion must feed reporting pipelines on a recurring schedule through an API-driven refresh pattern. Choose Whatagraph when the core requirement is scheduled report rendering into reusable templates for recurring stakeholder delivery.
Choose mobile or identity-first products when joins break across sessions and sources
Choose AppsFlyer when mobile attribution needs identity resolution tuned for matching users across sessions and touchpoints with click and impression measurement. Choose Singular when identity-first reconciliation must link conversion events back to campaign touches for consistent cross-source reporting.
Validate event mapping discipline for attribution accuracy
Choose Funnel or Madgicx only when campaign and event identifiers are kept consistent enough for attribution settings to pass operational QA. Choose AppsFlyer or Singular only when event pipelines and parameter governance can be maintained to avoid mismatched joins.
Decide whether commerce value and cohorts are a first-class reporting output
Choose Triple Whale when Shopify revenue attribution, cohort reporting, and retained customer value are required in the same workflow that reports ROAS. Choose HYROS when ad-to-revenue measurement must connect spend to conversion outcomes with workflow automation across ad platforms and CRM events.
Who advertising analytics software serves best
The strongest fit depends on whether the team needs governed attribution logic, connector automation, identity reconciliation, or commerce value reporting. Each category entry routes data and reporting responsibilities differently, so mismatches appear as manual spreadsheet fixes or broken joins. The tools also differ in troubleshooting complexity, which matters most during rapid campaign changes when event mapping and refresh timing drive reporting reliability.
Marketing ops teams running recurring cross-channel measurement
Madgicx focuses on tracking configuration that keeps attribution logic consistent across recurring reporting cycles and ties spend to conversion outcomes through repeatable definitions.
Analytics teams building automated reporting pipelines across many ad destinations
Supermetrics targets connector coverage plus an API that supports programmatic refresh for scheduled cross-channel reporting that reduces manual pull workflows.
Mobile growth teams managing view-through and cross-network measurement
AppsFlyer provides identity resolution tuned for mobile ad attribution and includes click and impression measurement workflows for view-through conversion workflows.
Commerce-focused teams using Shopify as the customer value system
Triple Whale is Shopify-first and blends paid media performance with customer cohort and lifetime revenue views so ROAS reporting includes retained customer value.
Performance marketers who need revenue attribution tied to optimization cycles
HYROS connects spend to conversion outcomes with revenue-based attribution and automation that reduces manual reconciliation across ad platforms and CRM events.
Common pitfalls when buying advertising analytics software
Misalignment between tracking identifiers and attribution settings causes the most expensive reporting failures. Another common failure is choosing a tool that automates reporting refresh but cannot match the measurement methods needed for cross-channel decision-making. These issues surface as attribution drift, broken joins, slow troubleshooting, and dashboards that cannot answer incrementality or marketing mix questions without external work.
Assuming attribution outputs stay accurate without consistent campaign and event identifiers
Funnel reports attribution accuracy depends on consistent campaign and event identifiers, so campaign ID and event mapping QA must be part of the operating process.
Using connector-based reporting without planning for key mismatches across destinations
Supermetrics flags that complex joins can require analyst work when destinations use different keys, so schema alignment must be designed before automating refresh.
Choosing a reporting tool for identity resolution without enforcing parameter governance
Singular and AppsFlyer both depend on disciplined setup to avoid mismatched joins, so event pipelines and parameter conventions must be locked down.
Expecting marketing mix modeling or incrementality methods inside a dashboard-first platform
Whatagraph explicitly limits attribution and incrementality methods compared with measurement-focused suites, so external modeling inputs may still be required for those workflows.
Building commerce value views without stable commerce event tracking
Triple Whale warns that best results assume Shopify data availability and consistent commerce event tracking, so missing or inconsistent Shopify events will break cohort and lifetime revenue attribution.
How We Selected and Ranked These Tools
We evaluated Funnel, Madgicx, Supermetrics, Google Ads, AppsFlyer, Triple Whale, Improvado, Singular, Whatagraph, and HYROS on features, ease of use, and value. Features account for 40% of the score, and ease and value each account for 30%.
Funnel ranked highest because configurable multi-touch attribution window logic paired with automated campaign reporting creates repeatable attribution outputs for governed cross-channel dashboards. Tool-specific strengths also shifted scores when API-driven refresh, connector coverage, identity resolution, and revenue and cohort outputs matched the strongest stated use cases.
Frequently Asked Questions About advertising analytics software
How do reporting tools handle multi-touch attribution window logic for cross-channel measurement?
Which tool is strongest when the primary goal is connector-based data pulls into warehouses and BI?
Which platforms support programmatic automation via an API for reporting pipelines?
When mobile attribution needs both click and impression pathways, how do dedicated platforms differ from general ad reporters?
What breaks if offline conversion import is missing for non-click outcomes in a search or shopping setup?
How do tools manage identity resolution and reconciliation between ad touches and conversion events?
How does admin control and auditability show up in multi-user analytics workflows?
Which workflow fits Shopify teams that need revenue attribution plus cohort and lifetime value views?
What tradeoff comes with template-driven client or stakeholder reporting compared with configurable attribution dashboards?
How should data migration and parameter changes be handled when campaigns update frequently?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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