Best Adverity Alternatives: Tools for Marketing Reporting

Top Adverity alternatives in 2026 include Improvado for marketing data integration and intelligence, as well as Domo for broader business intelligence (BI) and analytics needs. We've compiled a short list of the best Adverity alternatives:

Prices, plan limits and case figures on this page are as listed in February 2026.

• Improvado: An enterprise-grade Extract, Transform, Load (ETL) revenue data platform designed specifically for marketing and sales data.
• Stitch: A multi-purpose ETL tool with data sourcing ranging from GitHub to Salesforce Desk.
• Domo: A cloud-based data integration platform with a large number of integrations and a steep learning curve.
• Funnel: An end-to-end data tracking and analytics platform best suited for small and mid-size brands.

Improvado

Improvado is an enterprise-grade marketing analytics and intelligence platform powered by an Extract, Transform, Load (ETL) solution.

How Improvado solves Adverity's limitations

The core Improvado functionality includes:

• Data extraction from 1,400+ data sources without SQL queries and manual operations.
• Transformation of raw marketing data into insights in a spreadsheet-like UI with zero engineering.
• Marketing Common Data Model that maps out and unifies marketing metrics across different platforms.
• Data visualization: Improvado allows the creation of custom dashboards and pre-built dashboards.
• Data warehouse with deployment and maintenance.
• Marketing attribution modeling that helps marketing and revenue team members build custom data pipelines and automatically credit conversions to the proper channel.
• Professional services to solve analytics challenges of any complexity.

• Improvado supports automated data extraction from 1,400+ data sources, including Google Ads, Facebook, LinkedIn, and HubSpot. Clients can also request custom data connectors or metrics. Improvado offers pre-built and custom data extraction templates to further simplify the process.
• Improvado offers an advanced transformation framework, including AI mapping in one click, blending, grouping and joining data together as part of a unified recipe. The platform also provides multiple pre-built models (for example, Cross-Channel, Paid Media Reporting, Paid Social, Paid Search, SEO) that can be implemented with just a few clicks.
• Improvado provides options to store data in its managed data warehouse or integrate with your existing storage and run transformations and analysis in your data warehouse. This flexibility ensures that organizations maintain control over their data infrastructure while benefiting from Improvado's capabilities with no data moved or replicated outside your environment.
• Improvado integrates with any data visualization and BI tool. For on-the-go analysis, it provides a number of pre-built dashboards.
• Improvado offers a solution for campaign performance and data compliance, Marketing Data Governance. Marketers can set custom rules or choose from a library of 250+ pre-built rules your campaign should follow. Marketing Data Governance monitors compliance in real time and alerts of any data issues and metrics drops.
• Each Improvado pricing package includes customization credits and professional services to tailor the platform to specific business requirements. For example, clients can request custom data sources, metrics, data models, or assistance with dashboard setup.

Improvado use cases

Improvado has a flexible setup that allows marketing teams of any size to configure their accounts to meet their needs. The Improvado website features solutions targeted explicitly at enterprise-grade companies, mid-market brands, and marketing agencies.

Among Improvado's clients are:

• Global hardware company ASUS, which aggregates all global marketing data and analyzes the performance of its multiple brands in different regions and subregions.
• Italian coffee company Illy, which uses Improvado to unify data across dozens of marketing and sales data sources.
• Software and mobile tech company Hyperconnect, which gained access to more granular data and cut time on data operations.

Improvado pricing

Improvado offers four pricing plans: MCP Only at $100 a month, Starter from $20,000 a year, Growth from $41,700 a year, and Enterprise through sales. Contact Improvado sales to discuss your data requirements and business objectives for Enterprise.

• Each plan sets a yearly data volume, from 20M unique rows on Starter and 60M to 200M on Growth to 1B on Enterprise.
• Improvado provides access to its full library of 1,400+ data sources from Starter up.
• Growth and Enterprise include Professional Services credits each year (120 to 240 on Growth, 960 on Enterprise).
• Growth adds Premium Customer Support, and Enterprise adds Hands-on Professional Services.

Improvado transformed our approach to marketing analytics. Its automation capabilities and AI-driven insights allowed us to focus on optimization and strategy, without the need for manual data management.

Waleed Noury

Lead Analytics Engineer

Activision

Switching from Adverity to Improvado

Improvado's migration process is designed to minimize downtime and preserve your existing data infrastructure.

Stitch

Stitch is a developer-friendly Adverity alternative. It is a cloud-first ETL platform focused on automated data movement into cloud data warehouses. It caters to teams with technical resources that want to build and control their own analytics infrastructure without being locked into a larger, all-in-one marketing suite.

• Stitch supports over 140 data sources, including SaaS platforms, databases, and cloud services. Popular connectors include Salesforce, Google Analytics, Google Ads, Facebook Ads, HubSpot, and PostgreSQL. Source connectors are modular and built on Singer, an open-source standard.
• Stitch allows users to schedule data syncs in increments as low as every 5 minutes, depending on plan. Data pipelines can be configured and monitored easily through the UI or API.
• While Stitch follows an Extract, Load, Transform (ELT) model (transformations are performed after loading into a warehouse), it supports integration with tools like dbt (data build tool) for in-warehouse transformations and modeling.
• Stitch supports major cloud data warehouses including Snowflake, Google BigQuery, Amazon Redshift, Microsoft Azure Synapse, and more.
• Automatic schema detection and change propagation helps ensure that data remains usable and consistent across syncs. Users are alerted to schema drift or source structure changes.
• Stitch provides detailed logs, sync status dashboards, and alerts for errors or failures. Users can drill into job-level logs for debugging and data quality assurance.

Stitch use cases

Stitch's most common use cases include:

• Integration of Stitch's embedded ETL for developers into the application, allowing them to derive data from dozens of data sources. This functionality sets Stitch apart from the other solutions discussed in the article.
• Setup of the product intelligence. Both use cases require technical knowledge and expertise on the customer's side since Stitch doesn't provide professional services.
• Marketing and sales data analysis.

Stitch pricing

Stitch offers three pricing tiers based on data volume and feature access.

• The Standard plan starts at $100/month for smaller pipelines with limited sources and users.
• The Advanced and Premium plans, starting at $1,500/month and $3,000/month respectively, both billed annually, support higher row volumes, more destinations, unlimited users, and access to enterprise data sources.

All plans include key features like scheduling, post-load webhooks, and Connect API access. A 14-day free trial is available.

Domo

Domo is a cloud-based business intelligence (BI) platform that automatically integrates data, transforms it, and generates insights in real time.

• Domo provides over 1,000 pre-built connectors, featuring a wide array of data sources, including cloud services, on-premises systems, and proprietary databases.
• Data can be transformed using a no-code, drag-and-drop ETL or via SQL and scripting for more advanced use cases. This includes operations like joins, filtering, calculated fields, and data type conversions.
• Domo provides a wide range of visualization options, allowing users to create dynamic, interactive dashboards.
• Domo allows users to build data-driven applications directly on top of the platform using low-code tools or standard development frameworks. These apps can be used to automate processes or deliver interactive interfaces tied to business logic.
• Users can set up rule-based alerts and automation workflows tied to data thresholds or events. This allows for proactive responses to performance changes without constant manual monitoring.

Domo use cases

Domo's main users are data analysts, data scientists, and business users who utilize the platform to support their BI operations. Domo can also be used for:

• Embedded analytics and app deployment.
• Getting insights into sales and marketing activities.
• Analyzing the financial health of the organization by pulling data from different departments and visualizing it in an easy-to-understand dashboard.
• Tracking the productivity of development teams, regressions, and application performance.

Domo pricing

Domo follows a consumption-based pricing model, which means costs are primarily based on the volume of data ingested and processed. All pricing tiers offer unlimited user access and full platform capabilities, including data integration, transformation, visualization, and custom app development.

The platform offers a 30-day free trial that includes full access to the core features.

Funnel

Funnel.io is another popular Adverity alternative. It’s a marketing data platform that enables organizations to collect, process, and analyze data from various marketing and sales channels.

• Funnel lists 672 connectors (117 on Starter, 579 on Business) to integrate data from advertising platforms, social media networks, analytics tools, customer relationship management (CRM) systems, and e-commerce solutions.
• The platform includes built-in tools for mapping, renaming, categorizing, and aggregating fields across sources. Users can apply rules for currency conversion, campaign naming standardization, and metric normalization to create a unified schema.
• All data ingested into Funnel is stored in its internal Data Hub, where it can be queried, filtered, and structured over time. Historical data retention depends on the selected plan.
• Processed data can be exported to common destinations including Google Sheets, Excel, BigQuery, Snowflake, Amazon S3, Power BI, Tableau, and Looker. Exports can be automated with custom schedules and schema mapping.
• Funnel provides advanced marketing measurement techniques, including marketing mix modeling (MMM) and multi-touch attribution (MTA). This is separate from the core ETL workflow and requires setup.

Funnel use cases

Funnel.io is a data platform focused on the needs of marketing teams and agencies. The platform extracts data from 600+ data sources and prepares it for further analysis by unifying metrics, data mapping, and sending it to any visualization tool, analytics platform, or data warehouse of the customer's choice.

Funnel pricing

Funnel uses a modular pricing model based on two components: the selected plan and flexpoints. Funnel's pricing page describes flexpoints as purchased capacity that you can reallocate as your setup changes.

There are three plans: Starter, Business, and Enterprise. Starter starts from $300 per month (€280 in Europe) and Business from $600 per month (€560 in Europe), both billed annually, while Enterprise pricing is custom. Each offers increasing access to connectors and destinations: 117 connectors and 13 destinations on Starter, 579 and 46 on Business, and 600+ and 47 on Enterprise. Connectors, connected accounts and destinations each use flexpoints, so capacity grows with the number of data sources and destinations you set up.

According to Funnel, the price does not change with how much data runs through the setup, and the bill only rises if you buy more flexpoints. The pricing page also says you can see how adding an account, source or destination affects flexpoint usage before you commit.

Adverity alternatives comparative table

Exploring top Adverity alternatives

While Adverity offers a solution for marketing data integration, it’s not the only option, especially for teams that need more flexibility, deeper customization, or a different balance between automation and control.

FAQ

What are the best Adverity alternatives in 2026?

Top Adverity alternatives in 2026 include Domo for broader BI and analytics needs.

Is Adverity better than Funnel or Whatagraph?

Adverity offers more advanced data transformation and monitoring than Whatagraph, and greater flexibility than Funnel in data modeling. However, Funnel is more user-friendly for quick deployment.

What features should I look for in an Adverity alternative?

Key features to prioritize include: support for large-scale data integration, automated data normalization, transformation capabilities, customizable reporting, and compatibility with your BI or data warehouse environment. API reliability, governance controls, and service-level flexibility also matter at scale.