GITNUXSOFTWARE ADVICE
Marketing AdvertisingTop 10 Best Ad Reporting Software of 2026
Top 10 Ad Reporting Software picks ranked for accuracy and speed. Compare Supermetrics, Improvado, and Klipfolio to find the best fit.
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
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Supermetrics
Supermetrics Connector templates with scheduled pulls for standardized ad metrics
Built for marketing teams automating cross-platform ad reporting into dashboards.
Improvado
Automated data normalization with metric mapping across connected ad platforms
Built for marketing analytics teams needing scalable, automated cross-channel ad reporting.
Klipfolio
Klip-based reusable widgets that compose live dashboards across multiple ad data sources
Built for marketing and analytics teams consolidating multi-ad metrics into shared dashboards.
Related reading
Comparison Table
This comparison table evaluates ad reporting platforms such as Supermetrics, Improvado, Klipfolio, Power BI, and Looker Studio based on how they pull campaign data, transform it into reporting views, and support sharing and automation. Readers can use the table to spot which tools fit specific requirements like multi-source ingestion, dashboard customization, and scheduled reporting across ad networks.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Supermetrics Automates paid media reporting by pulling data from Google Ads, Meta Ads, and other ad platforms into spreadsheets, BI tools, and dashboards. | data integration | 9.0/10 | 9.3/10 | 8.8/10 | 8.8/10 |
| 2 | Improvado Centralizes multi-channel ad performance data and delivers automated reporting dashboards for paid media operations. | enterprise reporting | 8.0/10 | 8.6/10 | 7.4/10 | 7.8/10 |
| 3 | Klipfolio Builds custom ad reporting dashboards with connector-based data feeds from ad platforms and marketing tools. | dashboarding | 8.0/10 | 8.3/10 | 8.0/10 | 7.6/10 |
| 4 | Power BI Creates ad performance reports and interactive dashboards using native connectors and custom datasets from advertising platforms. | BI reporting | 8.2/10 | 8.6/10 | 7.6/10 | 8.2/10 |
| 5 | Looker Studio Generates ad reports and dashboards by connecting to paid media data sources and transforming them into chart-ready metrics. | BI dashboard | 8.1/10 | 8.4/10 | 8.1/10 | 7.7/10 |
| 6 | RazorSync Prepares and syncs marketing and ad reporting data into a unified view for reporting, attribution, and optimization workflows. | reporting automation | 7.4/10 | 7.6/10 | 7.0/10 | 7.4/10 |
| 7 | DashThis Automates client-ready ad and marketing reporting with scheduled dashboards built from multiple ad platforms. | client reporting | 7.6/10 | 8.0/10 | 7.5/10 | 7.3/10 |
| 8 | Databox Creates KPI dashboards and scheduled reports from ad and marketing data sources for performance monitoring. | KPI dashboards | 8.0/10 | 8.3/10 | 7.9/10 | 7.6/10 |
| 9 | Adverity Connects ad data from many marketing platforms and standardizes it for automated reporting and analytics workflows. | marketing data | 7.7/10 | 8.2/10 | 7.4/10 | 7.3/10 |
| 10 | Slemma Builds marketing and ad dashboards that summarize performance metrics from multiple sources into shared reporting views. | agency dashboards | 7.3/10 | 7.3/10 | 7.8/10 | 6.8/10 |
Automates paid media reporting by pulling data from Google Ads, Meta Ads, and other ad platforms into spreadsheets, BI tools, and dashboards.
Centralizes multi-channel ad performance data and delivers automated reporting dashboards for paid media operations.
Builds custom ad reporting dashboards with connector-based data feeds from ad platforms and marketing tools.
Creates ad performance reports and interactive dashboards using native connectors and custom datasets from advertising platforms.
Generates ad reports and dashboards by connecting to paid media data sources and transforming them into chart-ready metrics.
Prepares and syncs marketing and ad reporting data into a unified view for reporting, attribution, and optimization workflows.
Automates client-ready ad and marketing reporting with scheduled dashboards built from multiple ad platforms.
Creates KPI dashboards and scheduled reports from ad and marketing data sources for performance monitoring.
Connects ad data from many marketing platforms and standardizes it for automated reporting and analytics workflows.
Builds marketing and ad dashboards that summarize performance metrics from multiple sources into shared reporting views.
Supermetrics
data integrationAutomates paid media reporting by pulling data from Google Ads, Meta Ads, and other ad platforms into spreadsheets, BI tools, and dashboards.
Supermetrics Connector templates with scheduled pulls for standardized ad metrics
Supermetrics stands out for its wide set of ready-made connectors that pull ad and marketing metrics into reporting tools without building custom data pipelines. It supports scheduled data extraction, standardized field mappings, and dashboard-friendly exports from major ad platforms and analytics sources. The workflow centers on turning raw performance data into repeatable reports through templates and connector presets that reduce manual ETL work.
Pros
- Large connector library covers major ad platforms and analytics destinations
- Prebuilt queries and metric mappings reduce reporting setup time
- Scheduled pulls keep dashboards updated without manual exports
- Flexible filters and dimensions support campaign and audience breakdowns
- Reliable exports into common BI and spreadsheet workflows
Cons
- Setup can be complex for teams needing highly custom transformations
- Connector coverage for niche sources may require workaround strategies
- Dashboard performance depends on query size and refresh frequency
Best For
Marketing teams automating cross-platform ad reporting into dashboards
More related reading
Improvado
enterprise reportingCentralizes multi-channel ad performance data and delivers automated reporting dashboards for paid media operations.
Automated data normalization with metric mapping across connected ad platforms
Improvado stands out for unifying ad performance data across many ad platforms into one reporting layer with automated metric harmonization. It supports scheduled reporting, KPI dashboards, and automated data pipelines that keep reporting consistent across campaigns and channels. For analysis, it offers transformations for common marketing metrics and flexible connectors for pulling data into reporting outputs without manual spreadsheet wrangling.
Pros
- Centralizes multi-network ad data with consistent metric definitions
- Automates recurring reporting with scheduled refresh and pipeline workflows
- Provides transformations for marketing KPIs across sources
- Supports multiple connectors for common ad and analytics ecosystems
- Reduces manual ETL work for reporting teams
Cons
- Setup for complex mappings can take time across many sources
- Dashboard configuration can feel rigid compared to bespoke BI builds
- Requires ongoing connector and schema maintenance when platforms change
- Less suited for lightweight one-off reporting
Best For
Marketing analytics teams needing scalable, automated cross-channel ad reporting
Klipfolio
dashboardingBuilds custom ad reporting dashboards with connector-based data feeds from ad platforms and marketing tools.
Klip-based reusable widgets that compose live dashboards across multiple ad data sources
Klipfolio stands out with a klip-based dashboard system that pulls marketing and ad metrics into reusable widgets. It supports data connections for ad platforms and common analytics sources, then delivers live reporting through customizable dashboards and scheduled refresh. Visual builders enable cross-channel performance views, while alerting helps teams react to metric changes without manual checking.
Pros
- Klip-based dashboards make cross-channel reporting repeatable and scalable
- Supports broad marketing and analytics integrations for ad performance reporting
- Scheduling and alerting reduce manual checks of key campaign metrics
- Export and sharing options support stakeholder updates without extra tools
Cons
- Advanced metric logic can become complex across multiple data sources
- Dashboard customization requires more setup than simple query-based tools
- Alerting flexibility feels limited for highly specific change conditions
Best For
Marketing and analytics teams consolidating multi-ad metrics into shared dashboards
More related reading
Power BI
BI reportingCreates ad performance reports and interactive dashboards using native connectors and custom datasets from advertising platforms.
DAX measures for custom KPI logic like blended ROAS and cohort conversion rates
Power BI stands out for turning ad data into interactive dashboards and reusable reporting models with strong governance tools. It connects to major marketing data sources and supports scheduled refresh so campaign metrics stay current. Advanced DAX measures and customizable visuals help break down spend, reach, clicks, and conversions by audience, channel, and time period.
Pros
- Strong data modeling with DAX for complex campaign metric calculations
- High interactivity with drill-through filters across channel and campaign dimensions
- Scheduled refresh and incremental update patterns support near-real-time reporting
- Large connector ecosystem for common ad platforms and analytics sources
Cons
- Building reliable ad attribution logic needs careful modeling and data prep
- Governed sharing across teams can require additional setup effort
- Some custom visual work adds maintenance overhead for ad teams
- Performance depends heavily on dataset design and refresh strategy
Best For
Marketing analytics teams needing governed, reusable ad dashboards without heavy custom tooling
Looker Studio
BI dashboardGenerates ad reports and dashboards by connecting to paid media data sources and transforming them into chart-ready metrics.
Data blending with calculated fields for combining ad and analytics datasets
Looker Studio stands out for turning ad and marketing data into shareable dashboards through a browser-based, template-driven report builder. It connects to Google Ads, Google Analytics, and many third-party data sources, then blends datasets using calculated fields and pivot-style exploration. It supports scheduled refresh, interactive filters, and role-based sharing so reporting can be reused across teams. Visual customization is strong, but advanced marketing analytics and workflow automation beyond reporting remains limited compared with specialized ad ops platforms.
Pros
- Templates and themes speed up consistent cross-campaign dashboard creation
- Data blending and calculated fields support multi-source attribution-style reporting
- Interactive filters and scheduled refresh keep reports current for stakeholders
- Share permissions enable controlled viewing without exporting files
- Extensive connector library supports common ad and analytics systems
Cons
- Complex metric logic can become fragile and hard to maintain
- Row-level data exports and version control are weaker than in BI suites
- Automation for campaign actions is not a native reporting workflow
Best For
Marketing teams needing fast, shareable ad dashboards across multiple data sources
RazorSync
reporting automationPrepares and syncs marketing and ad reporting data into a unified view for reporting, attribution, and optimization workflows.
Automated recurring campaign reporting that keeps metrics synchronized across ad sources
RazorSync focuses on connecting ad platform performance data into a unified reporting workflow for marketing teams. It emphasizes campaign-level transparency with automated updates and shareable reporting views. The core value centers on reducing manual spreadsheet work by centralizing key metrics across ad channels and making changes easier to track across reporting cycles. Reporting workflows are designed for ongoing optimization rather than one-time dashboards.
Pros
- Centralizes multi-campaign performance metrics into consistent reporting views.
- Automates recurring reporting updates to cut manual data pulls.
- Supports shareable reporting outputs for stakeholders and cross-team reviews.
Cons
- Setup effort can be higher for teams with complex ad account structures.
- Limited advanced analytics depth compared with pure BI platforms.
- Customization options may require extra configuration for niche reporting formats.
Best For
Marketing teams needing automated cross-channel ad reporting without heavy BI builds
More related reading
DashThis
client reportingAutomates client-ready ad and marketing reporting with scheduled dashboards built from multiple ad platforms.
Dashboard automation with scheduled data refresh and stakeholder-ready sharing
DashThis distinguishes itself with automated ad reporting that pulls performance data from multiple ad and analytics platforms into ready-to-share dashboards. It focuses on turning report requests into scheduled updates, with charting and KPI summaries designed for stakeholders. Strong connector coverage supports recurring reporting for paid search, display, social, and analytics sources without manual spreadsheet assembly.
Pros
- Automates scheduled ad reporting with multi-source data pulls
- Dashboard widgets for KPIs, trends, and campaign-level drilldowns
- Shareable dashboards reduce repeated export and slide assembly
Cons
- Setup can be time-consuming for complex attribution and metrics alignment
- Advanced customization requires clearer workflow guidance than simpler tools
- Not as strong for fully bespoke reporting logic without dashboard constraints
Best For
Performance teams needing recurring multi-platform ad reporting dashboards
Databox
KPI dashboardsCreates KPI dashboards and scheduled reports from ad and marketing data sources for performance monitoring.
Scheduled reporting with metric threshold alerts across connected ad and marketing data sources
Databox stands out for turning ad and marketing metrics into customizable dashboards with widget-based reporting and scheduled updates. It supports data integrations from common ad platforms and marketing tools, then normalizes metrics into shared views across channels. Users can build KPI dashboards, monitor performance trends, and alert stakeholders when metrics move outside defined thresholds.
Pros
- Widget-driven dashboards make multi-channel ad reporting quick to assemble
- Scheduled report delivery keeps stakeholders aligned without manual exports
- Alert rules surface metric anomalies before end-of-cycle reviews
- Reusable templates speed setup for common KPI reporting views
Cons
- Metric mapping and dimension alignment can require cleanup across ad sources
- Dashboard customization can feel constrained for very bespoke reporting layouts
- Alerting focuses on threshold events rather than advanced diagnostic workflows
Best For
Performance teams consolidating ad KPIs into dashboards and scheduled stakeholder reports
More related reading
Adverity
marketing dataConnects ad data from many marketing platforms and standardizes it for automated reporting and analytics workflows.
Automated data ingestion and normalization workflows for standardized cross-platform metrics
Adverity stands out for end-to-end ad data operations, including automated ingestion, normalization, and reporting across many ad platforms. It supports building repeatable reporting pipelines with scheduled pulls, dataset management, and dashboarding for cross-channel performance visibility. Teams can standardize metrics across sources and automate refresh cycles to reduce manual spreadsheet work.
Pros
- Connects many ad data sources and refreshes datasets on a schedule
- Metric normalization helps keep cross-channel reporting consistent
- Workflow automation reduces manual pulls into spreadsheets and slides
- Supports reusable reporting logic for recurring performance reporting
Cons
- Initial setup can require more technical configuration than lighter BI tools
- Dashboard creation depends on available data modeling choices early on
- Advanced reporting automation can be harder to troubleshoot than template tools
Best For
Marketing analytics teams automating cross-channel ad reporting with standardized metrics
Slemma
agency dashboardsBuilds marketing and ad dashboards that summarize performance metrics from multiple sources into shared reporting views.
Scheduled dashboard reporting with reusable templates for consistent cross-channel metrics
Slemma stands out by building ad reporting from reusable data connectors and report templates for rapid rollout across channels. It centralizes campaign data into shareable dashboards and schedules so reporting updates run automatically without manual spreadsheet work. The workflow emphasizes visualization for performance review, with consistent metrics across sources like search and social advertising. It targets teams that need standardized reporting outputs across multiple campaigns and stakeholders.
Pros
- Reusable report templates speed up standardizing metrics across accounts
- Scheduled dashboard updates reduce manual consolidation across ad platforms
- Cross-channel reporting enables faster comparisons of campaign performance
- Shareable dashboard views support stakeholder-ready reporting
Cons
- Limited advanced analytics controls compared with dedicated BI suites
- Complex custom reporting logic can require extra setup effort
- Data source coverage may not fit niche ad networks
- Less flexibility than spreadsheet workflows for highly bespoke outputs
Best For
Marketing teams needing automated, template-driven cross-channel ad reporting
How to Choose the Right Ad Reporting Software
This buyer’s guide explains how to select Ad Reporting Software that automates data pulls, normalizes metrics, and delivers stakeholder-ready dashboards. It covers Supermetrics, Improvado, Klipfolio, Power BI, Looker Studio, RazorSync, DashThis, Databox, Adverity, and Slemma. The guide focuses on concrete capabilities like scheduled refresh, metric mapping, dashboard construction, and alerting.
What Is Ad Reporting Software?
Ad Reporting Software pulls performance data from ad platforms like Google Ads and Meta Ads and turns it into reports, dashboards, and scheduled KPI updates. These tools reduce manual spreadsheet work by using connector feeds, reusable templates, and standardized metric definitions across channels. Marketing analytics teams and performance teams use them to track spend, reach, clicks, and conversions in consistent reporting views. For example, Supermetrics automates scheduled data extraction into dashboards and spreadsheets, while Databox builds KPI dashboards with scheduled delivery and metric threshold alerts.
Key Features to Look For
These features determine whether ad reporting stays consistent, automated, and usable for stakeholders across multiple platforms.
Connector-based scheduled data pulls with standardized mappings
Look for scheduled pulls that keep dashboards current without manual exports. Supermetrics offers scheduled pulls with prebuilt connector templates and metric mappings, and Klipfolio supports scheduled refresh for live, connector-fed dashboards.
Automated metric normalization and metric mapping across ad platforms
Cross-network reporting breaks when metrics are defined differently across sources. Improvado and Adverity focus on automated data normalization with metric mapping so KPIs remain consistent across connected ad platforms.
Dashboard building with reusable widgets or templates
Reusable dashboard components reduce rebuild time for recurring performance reporting. Klipfolio uses klip-based reusable widgets to compose live dashboards, while Slemma and DashThis rely on reusable report templates and dashboard automation for faster rollout.
Advanced calculated metrics and custom KPI logic
Custom KPI logic matters when reporting needs go beyond standard spend and conversion metrics. Power BI supports DAX measures for blended ROAS and cohort conversion rates, and Looker Studio enables calculated fields and data blending for multi-source attribution-style reporting.
Shareable stakeholder reporting without fragile manual exports
Stakeholders need repeatable access to the same metrics over time. Looker Studio provides role-based sharing and interactive filters, and DashThis and Databox deliver stakeholder-ready dashboards through scheduled reporting.
Alerting for metric movement and campaign visibility
Alerting reduces time spent manually checking performance changes during reporting cycles. Databox provides metric threshold alerts, while Klipfolio includes alerting that helps teams react to metric changes without manual monitoring.
How to Choose the Right Ad Reporting Software
Selection should start with the reporting workflow needed for recurring updates, KPI consistency, and how complex the metric logic must be.
Match automation depth to the reporting workflow
Teams focused on automated recurring reporting should evaluate tools that schedule refresh and keep metrics synchronized. Supermetrics supports scheduled pulls for standardized ad metrics into dashboard-friendly exports, and RazorSync centralizes automated recurring campaign reporting to keep metrics synchronized across ad sources.
Choose the system that best handles cross-platform metric consistency
If KPI definitions vary across networks, metric normalization becomes the deciding factor. Improvado and Adverity emphasize automated data normalization and metric mapping so reporting remains consistent across connected ad platforms.
Decide how dashboards will be built and reused
If the priority is reusable dashboard components, Klipfolio’s klip-based widgets help compose cross-channel dashboards quickly. If the priority is rapid standardization, Slemma and DashThis use reusable templates and dashboard automation designed for consistent stakeholder-ready views.
Select based on the complexity of KPI calculations and data blending
If reporting requires custom KPI logic, Power BI’s DAX measures support blended ROAS and cohort conversion rates. If reporting requires combining ad and analytics datasets, Looker Studio’s data blending and calculated fields support multi-source attribution-style reporting.
Validate dashboard governance, shareability, and alert requirements
Governed sharing and controlled stakeholder access reduce the need for repeated exports. Power BI and Looker Studio support governed or role-based sharing patterns, and Databox provides metric threshold alerts to surface anomalies before end-of-cycle reviews.
Who Needs Ad Reporting Software?
Ad Reporting Software fits teams that need automated, repeatable ad performance reporting across multiple platforms and stakeholder groups.
Marketing teams automating cross-platform ad reporting into dashboards and spreadsheet workflows
Supermetrics is built around connector templates with scheduled pulls for standardized ad metrics, which reduces setup time for repeatable reporting. RazorSync also fits when cross-channel reporting must stay synchronized across ad sources without heavy BI builds.
Marketing analytics teams needing scalable cross-channel reporting with metric harmonization
Improvado centralizes multi-network ad performance data with automated metric harmonization and scheduled refresh workflows. Adverity delivers automated ingestion and normalization workflows so standardized metrics stay consistent across connected sources.
Marketing and analytics teams consolidating multi-ad metrics into shared dashboards
Klipfolio supports klip-based reusable widgets that compose live dashboards across multiple ad data sources. Databox supports widget-driven KPI dashboards with scheduled reporting and metric threshold alerts for stakeholders.
Performance teams delivering recurring stakeholder-ready dashboards across multiple ad and analytics sources
DashThis automates scheduled multi-platform reporting and emphasizes stakeholder-ready dashboard widgets for KPIs and trends. Slemma supports scheduled dashboard updates driven by reusable templates for standardized cross-channel metrics.
Common Mistakes to Avoid
Several repeatable pitfalls show up across these tools, especially when reporting needs are more complex than the selected workflow can handle.
Choosing a dashboard-only tool when metric mapping is the real problem
Tools that focus on visualization can still fail if cross-network metrics are not normalized. Improvado and Adverity address metric harmonization with automated data normalization and metric mapping across connected ad platforms.
Underestimating setup complexity for custom transformations and metric logic
Connector setup and advanced metric logic can require more work when transformations are highly custom. Supermetrics can require additional effort for highly custom transformations, and DashThis can require time when attribution and metrics alignment become complex.
Building fragile calculated metrics that are hard to maintain over time
When teams rely on complex metric logic across multiple sources, dashboards can become difficult to troubleshoot and maintain. Looker Studio’s calculated fields and blended datasets can become fragile with complex metric logic, and Klipfolio warns that advanced metric logic can become complex across multiple sources.
Expecting alerting to replace diagnosis and workflow automation
Threshold alerts help with detection, but they do not automatically solve root-cause analysis or campaign actions. Databox focuses on threshold events rather than advanced diagnostic workflows, and RazorSync emphasizes optimization-focused reporting synchronization rather than deep BI diagnostics.
How We Selected and Ranked These Tools
we evaluated every tool on three sub-dimensions. features carry weight 0.4. ease of use carries weight 0.3. value carries weight 0.3. the overall rating is the weighted average shown as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Supermetrics separated itself with connector templates and scheduled pulls that reduce reporting setup time for standardized ad metrics, which directly strengthened the features dimension.
Frequently Asked Questions About Ad Reporting Software
Which tool is best for standardizing ad metrics across many platforms without manual spreadsheet mapping?
Improvado is built for automated metric harmonization, using metric mapping across connected ad platforms so reporting stays consistent across campaigns and channels. Adverity also standardizes metrics end to end through automated ingestion and normalization workflows, then refreshes datasets on a schedule.
What option delivers the fastest cross-platform dashboards using prebuilt widgets or templates?
Klipfolio focuses on reusable klip widgets that assemble multi-source dashboards with live data connections and scheduled refresh. DashThis also emphasizes ready-to-share dashboards by turning report requests into scheduled updates with stakeholder-ready KPI summaries.
Which platform supports deeper custom KPI logic and governed analytics models for ad reporting?
Power BI supports advanced DAX measures for custom KPI logic like blended ROAS and cohort conversion rates, and it adds governance tools for repeatable reporting models. Klipfolio offers interactive dashboard composition, but Power BI is the stronger fit for teams needing controlled semantic models and custom calculations.
Which tools focus on scheduled extracts and connector-driven reporting instead of building data pipelines?
Supermetrics centers on connector templates and scheduled data extraction that reduce custom ETL work, then exports standardized fields into dashboard-friendly formats. Looker Studio also relies on scheduled refresh and template-driven reporting, but its strongest advantage is dataset blending inside the report builder.
How do the top options compare for combining ad platform data with analytics data in the same report?
Looker Studio can blend datasets with calculated fields and pivot-style exploration, which helps merge Google Ads performance with Google Analytics behavior in one dashboard. Power BI supports similar modeling via reusable reporting models and DAX, while Supermetrics and Improvado blend at the data ingestion and harmonization layer before the dashboard.
Which software is most suited for ongoing campaign-level reporting cycles that prioritize transparency and synchronization?
RazorSync is designed for recurring campaign reporting where metrics update automatically and shared views make cross-channel changes easier to track across reporting cycles. Improvado also delivers scheduled reporting, but RazorSync is more focused on simplifying the day-to-day reporting workflow around campaign transparency.
What should teams choose when stakeholder communication depends on alerts for KPI threshold changes?
Databox provides threshold alerts that notify stakeholders when connected ad or marketing metrics move outside defined ranges. Klipfolio includes alerting for metric changes, but Databox ties alerting directly to widget-based dashboards and scheduled updates for performance monitoring.
Which tools are best for teams that want a browser-based workflow for building and sharing reports quickly?
Looker Studio uses a browser-based report builder with interactive filters and role-based sharing, which makes sharing multi-source dashboards straightforward. Klipfolio also delivers dashboards via its widget system, but Looker Studio’s template-driven sharing flow is typically faster for web-first collaboration.
What is the most reliable path for getting started with ad reporting automation from connected sources?
A common setup starts with Supermetrics or Improvado to pull and harmonize ad metrics on a schedule, then move the results into dashboards like Power BI or Looker Studio. For teams that need ready-made reporting views without BI modeling work, DashThis and Slemma prioritize scheduled dashboard automation built from connectors and reusable templates.
Conclusion
After evaluating 10 marketing advertising, Supermetrics 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.
Tools reviewed
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Marketing Advertising alternatives
See side-by-side comparisons of marketing advertising tools and pick the right one for your stack.
Compare marketing advertising tools→FOR SOFTWARE VENDORS
Not on this list? Let’s fix that.
Our best-of pages are how many teams discover and compare tools in this space. If you think your product belongs in this lineup, we’d like to hear from you—we’ll walk you through fit and what an editorial entry looks like.
Apply for a ListingWHAT THIS INCLUDES
Where buyers compare
Readers come to these pages to shortlist software—your product shows up in that moment, not in a random sidebar.
Editorial write-up
We describe your product in our own words and check the facts before anything goes live.
On-page brand presence
You appear in the roundup the same way as other tools we cover: name, positioning, and a clear next step for readers who want to learn more.
Kept up to date
We refresh lists on a regular rhythm so the category page stays useful as products and pricing change.