Top 7 Supermetrics Alternatives & Competitors in 2024

Supermetrics is a data integration platform with both strengths and weaknesses. If you’ve run into its limitations or are deciding whether to integrate it, check out the top seven Supermetrics alternatives listed below to help you make an informed decision.

Supermetrics Overview

Supermetrics is a data aggregation and exporting tool explicitly designed to meet the needs of marketing teams. 

The platform import data from 150+ sales and marketing platforms and brings it to the reporting, BI, and data visualization tools or data warehousing of the client's choice. Supermetrics supports popular data destinations like Tableau, Power BI, Excel, Looker Studio, Snowflake, BigQuery, and others. 

Data Processing with Supermetrics

Supermetrics isn't a traditional ETL tool; it doesn't have data transformation functionality. That's why, companies choosing Supermetrics must have in-house IT resources or data analysts who will be responsible for keeping the data clean and organized.

Current customers have mentioned that Supermetrics automatically pulls tons of data when connecting a new data source, and you need to do the manual work to sort through it.

Your team will also need to handle the unification of naming conventions if you pull data from multiple sources into one report. 

Another drawback of skipping the data transformation stage is that customers can't combine data or run complex formulas. For example, Supermetrics for Looker Studio (formerly Google Data Studio) works directly with Looker Studio via an add-on. Users are unable to combine data from multiple sources and create complex formulas or parsings, which limits cross-channel reporting capabilities.  

The platform doesn't provide a data storage solution, which is good in terms of data security. But on the flip side, customers mention that if you need to save historical data, you'll need to use Google Sheets or other platforms. 

Who Should Use Supermetrics?

In short: Marketing teams in small businesses with basic data needs and low number of data sources

Supermetrics provides a relatively small number of pre-built connectors to import data.  

There is an option to request a custom connector, but the company doesn't guarantee that it will be delivered. Users can submit their requests on the Supermetrics Roadmap website, vote for the data sources suggested by other users, and see connectors available in beta.

When choosing Supermetrics, a company also needs data analysts on its team to do the manual work and keep an eye on data accuracy. The software catalogs include many customer reviews explaining how they ran into a bug or noticed the platform wasn't pulling data for weeks without notifying them of the issue. 

The analyst is required to do data source reauthorization, manually pull a refresh, and check if the daily queries have been processed. It's the only way to make sure you have all your data at hand, and that it's harmonized and analysis-ready.

Supermetrics Pricing

The price for Supermetrics depends on the final destination and the number of data sources your company needs.

For example, the Essential plan for Supermetrics for Google Sheets is $69 per month, billed annually. For this price, you get just 11 predetermined data sources and 5 accounts per data source, weekly automated refreshes, and a space for one user. Any additional data source will come at a price of $35/month. Thus, Supermetrics becomes expensive real quick.

Supermetrics Integrations

Supermetrics supports 150+ data sources, including web analytics, digital marketing, SEO, paid media, sales, and other platforms. When choosing Supermetrics, keep in mind that the number of tools and which integrations you get will depend on the billing plan you choose. 

Why Look for a Supermetrics Alternative?

• Supermetrics supports a relatively low number of data sources.
• Due to API limitations, some data points available on the apps are not accessible, meaning Supermetrics doesn’t extract certain data.
• Supermetrics only supports extract and load functionalities, requiring your team to manually handle transformations or use third-party tools to clean data and avoid duplications and errors.
• Customers have noted that the overlapping of dimensions may lead to 'double counting' some costs, necessitating extensive querying and manual processes to manage data pulled by Supermetrics.
• Disturbingly, many reviews of Supermetrics mention issues with messy data and a significant number of bugs.
• On G2, Supermetrics' quality of support is rated 7.5 out of 10, while its competitors on the list have a minimum rating of 9.2.

Improvado (Best Supermetrics Alternative)

Improvado is the best Supermetrics alternative. It is an enterprise-grade marketing analytics and intelligence platform powered by a robust Extract, Transform, Load (ETL) solution.

It means that, unlike Supermetrics, Improvado supports the whole data pipeline process and automates every step of the marketing reporting cycle:

• Improvado pulls data from 500+ marketing channels and sales platforms, whether an advertising network, CRM, email marketing, marketing automation, sales, or any other marketing tool. Improvado offers pre-built and custom data extraction templates to further simplify the process.
• Once the data is aggregated, Improvado applies data transformations to organize complex data to suit your BI and analytics requirements. 
• Then, Improvado pushes high-quality, dashboard-ready data to a destination of your choice, such as Power BI, Redash, Tableau, Google BigQuery, ClickHouse, and others to support data-driven decision-making.
• Marketing Data Governance validates the consistency and quality of your data. This includes validating UTM naming conventions, monitoring the status of data extractions, and detecting anomalies in data to identify any irregularities or unexpected patterns that could skew analytics results.

The biggest difference between Supermetrics and Improvado is the advanced data transformation features. 

Improvado offers two data transformation options: 

• Marketing Common Data Model (MCDM), an out-of-the-box solution that automatically transforms and merges data from multiple sources. The tool comes with pre-built report templates. The tool takes two weeks to master and doesn't require IT resources or technical expertise. 
• DataPrep, an enterprise-grade self-service transformation solution. The tool offers over 300 features and functionalities to apply data transformation rules and automates lengthy data cleansing processes. DataPrep is a no-code solution, but it still takes around two months to master. 

The transformation engine eliminates time wasted on manual data cleansing and normalization, saving your team 80-100 hours/per week. 

Who Should Use Improvado?

In short: Midsize and enterprise companies building custom reports for multiple regions or internal clients

Improvado provides a great level of customization, whether your team requires a custom connector or metric, custom data transformation rule, or fully customized dashboard.

In addition to that, the Improvado Professional Services team provides data warehouse management services. The warehouse is run on the client's end, and the client company reserves full control of its data. 

To further assist enterprises with marketing intelligence, Improvado offers Marketing Data Governance, a robust solution for campaign, brand and data compliance.

The solution supports all stages of the campaign life-cycle:

• Pre-launch: Marketing Data Governance validates campaign setup, including targeting parameters, creative elements, budgets, and brand safety.
• In-flight: It monitors whether campaigns meet your performance expectations and benchmarks. For example, the platform monitors and notifies you when the average cost per click exceeds the benchmark, CTR drops, or line items exceed a certain number of clicks.
• Post-campaign: Marketing Data Governance validates the reliability of campaign data, including UTM naming conventions and data extraction statuses, and identifies any irregularities that could skew analytics results. 

The platform alerts on any anomalies and rule breaks and displays the overall state of campaign governance on a clear dashboard for further review and analysis.

Improvado Pricing

Improvado offers a pricing model tailored to the customer's needs and their intended use of the product. 

The company only gets a quote after discussing its reporting needs and business objectives on a demo call with a member of the sales team. You only pay for the features you need and actually use, as well as the number of data rows required. 

Improvado Integrations

• Improvado supports 500+ data sources, including popular tools like Google Ads, Microsoft Advertising, programmatic advertising networks, CRMs, sales tools, and more. See the full list of integrations. 
• Improvado offers additional data extraction options like flat-file ingestion, raw data extraction through email, spreadsheet, Amazon S3, and FTP/SFTP. 
• Customers can also request a custom connector which will be delivered in 2 to 6 weeks at the most. 

Improvado provides one of the highest data granularity. It can pull over 46,000 metrics and dimensions from the data sources, allowing companies to go beyond shallow processing.

Funnel.io

Funnel.io is an automated data collection solution that pulls marketing data from 500+ sources, applies transformations, and pushes it to a visualization platform, analytics tool, or data warehouse. The biggest differences between the two are Funnel.io's catalog of data transformation features and that the tool provides managed data warehouse services so clients can store their data. 

Funnel.io's data transformation capabilities include:

• Automatic categorization of data into metrics and dimensions, meaning all of your quantifiable data, such as clicks, likes and cost, goes into the “Metrics” tab, and things like country, name, and ads ID get automatically placed into the “Dimensions” tab.
• Currency conversion.
• Custom dimensions and metrics to set rules on combining data across multiple sources.
• Some data normalization and data mapping features.
• UTM-correlated grouping of data.

Funnel also has a dashboard called Data Explorer that allows users to examine the raw data, as well as save and share their queries.

Who Should Use Funnel.io?

In short: Small businesses and mid-market companies with a small set of cross-channel needs

Funnel.io is a no-code solution, which means the tool is accessible to marketing teams with zero technical expertise and resources. The company itself mentions three major client profiles of the product:

• Marketing agencies striving to streamline client reporting;
• eCommerce aiming to analyze what marketing efforts have the biggest impact on sales; and
• B2B brands that want to aggregate data on offline and online marketing campaigns and analyze their performance.

Choosing Funnel.io over Supermetrics, a company will still have to do its fair share of manual work and require additional IT resources to normalize data and prepare it for reporting. 

Funnel.io Pricing

Funnel.io offers two types of pricing plans: one for marketers and another for marketing agencies. The plans for marketers include the Essential plan (starting at $400 per month, billed annually), the Plus plan (starting at $1,100 per month, billed annually), and the Enterprise plan (starting at $2,400 per month, billed annually).

The options for agencies include the Agency Small, Agency Medium, and Agency Large plans at the same price points as the plans for marketers.

Funnel.io also uses a system of Flexpoints, which are tokens to visualize available and used capabilities, like data sources, services, and destinations. Each plan comes with a predetermined number of Flexpoints that a client can spend over the billing period. If you don't put every point to use, however, those remaining will not be rolled over to the new subscription period. And if a client exceeds their available points, Funnel.io will charge for additional services.

Funnel.io Integrations

Funnel.io supports over 500 connectors, but most of the data sources are marked as custom (meaning they were built for a specific customer). Therefore, users are required to carry out additional configurations.

Customers on the Plus and Enterprise plans can also request custom data connectors if their needs exceed Funnel.io's current data exporting capabilities.

Adverity

Adverity is a data analytics platform. It's core functionality includes:

• Automated data aggregation from 600+ data sources;
• Advanced data transformations, including data mapping and data harmonization features;
• Loading of the data to data visualization and BI tools or data warehouses;
• An ML-powered insights tool; and
• Pre-built dashboards and customizable reports.

Who Should Use Adverity?

In short: Small and mid-sized businesses with SQL and Python knowledge and the time to overcome a steep learning curve

To derive value from Adverity and its capabilities, users must overcome a steep learning curve and have good product and often technical knowledge. When signing up for Adverity, a client gets access to a one-month onboarding training program, but other than that, the team's professional support is limited. 

Another reason Adverity may not be fitted for enterprise companies is the lack of process automation. As one of the customers noted in their Adverity review on G2: "The tool is not that automated as I wish it would be. the data connection and data bug identification or correction needs a lot of manual effort... Some settings and specifications (e.g., filters) are very rigid and fixed, which makes it difficult to use dashboards in a more agile and flexible way." 

Adverity Pricing

Adverity offers three pricing plans: 

• Standard, starting at $500/month and including up to 15 basic data sources, 1 destination, and 200,000 data rows;
• Professional, starting at $2,000/month and going with an unlimited number of data sources, 2 destinations, greater functionality, and 500,000 data rows;
• And a custom plan tailored to your company.

Adverity Integrations

Adverity has over 600 data connectors, which exceeds the offerings of any other tool on the list. But considering the large number of data sources, Adverity provides low data granularity. The tool supports a smaller number of metrics and dimensions than its competitors, which may prevent you from digging deep into the channel's performance or require you to do some manual data pulling.

Power My Analytics 

Power My Analytics is a data aggregation and integration solution that, much like Supermetrics, doesn't go beyond automating data collection.

Power My Analytics offers native API connectors to 40+ marketing-related platforms, mostly social media networks, ad platforms, and eCommerce tools. Similar to other Supermetrics alternatives, it also provides alternative data extraction options like FTP and SQL servers and flat-file feed.

Similar to Supermetrics, Power My Analytics doesn't support data normalization and transformation functionality. Customers can't blend their data, build custom metrics and tables, or run calculations before pushing their data to a data visualization solution. This limits advanced and cross-channel marketing reporting capabilities.

Who Should Use Power My Analytics?

In short: Small businesses, small marketing agencies, and freelancers relying on Looker Studio and Excel/Google Sheets marketing reports 

Power My Analytics caters to the needs of freelance marketers, small-business brands, and marketing agencies managing a small number of accounts and platforms.

Power My Analytics provides Looker Studio dashboard templates for various use cases. In addition, the team offers professional services, including custom dashboard building, data manipulations, and software training. It's a good starting point, but these services can't meet the needs of mid-market and enterprise companies. 

The platform doesn't integrate with BI and data visualization platforms like Power BI, Tableau, or Redash, and neither can it push data to data warehouses other than Google BigQuery. Power My Analytics doesn't offer any self-service tools for data manipulation and transformation, data pipeline customization services, or workflow automation solutions. 

Another thing to consider when choosing a marketing analytics solution is the ease of use. Some customers note that it takes a lot of technical skills to master Power My Analytics, and setup requires the help of a developer.

Power My Analytics Pricing

Power My Analytics offers four pricing plans with an option to customize the number of accounts per connector and multiple add-ons:

• Single, comes with just 1 data source connector, starts at $14.95, billed monthly;
• Business, includes 5 data source connectors, starts at $39.95, billed monthly;
• Pro, grants access to all data source connectors, starts at $99.95, billed monthly;
• Enterprise, starts at $295, billed monthly, and is the only plan that can be customized to push data to Tableau, Power BI, or other tools.

For customers on Single, Business, and Pro plans, Power My Analytics manages data in Google Cloud. Only Enterprise customers truly own their data and manage it on their MySQL data warehouse. Be aware of “vendor lock”, a situation when all your data is locked into a vendor and can't be transferred to any third-party solution. It can make your team dependent on the tool and vulnerable to any changes.

Power My Analytics Integrations

Power My Analytics provides native API connectors to 40+ marketing data sources, including popular platforms like Google Analytics, HubSpot, AdRoll, LinkedIn Ads, MailChimp, and others. 

The Power My Analytics features a form to request an integration your team needs, but the company doesn't specify if there is any framework in place to get a custom connector added to your account.

Fivetran

Fivetran is an automated data movement platform that is more tech-heavy than other Supermetrics alternatives on the list. The platform is powered by an Extract, Transform, Load (ETL) solution that helps businesses extract data from 300+ data sources, apply transformation rules, and load their data to a desired destination. 

Fivetran offers advanced, in-destination transformation features, including integrated scheduling, triggered transformations, version control, and more. Customers can choose between Transformations for dbt Core scheduled in Fivetran or in Code and Quickstart data models available in beta to apply pre-built data models without creating a dbt project. All transformation options require engineering resources and strong SQL knowledge.

Who Should Use Fivetran?

In short: Data engineers, data analysts, and tech-savvy teams with strong engineering and SQL knowledge

Fivetran isn't a marketing-specific solution; the platform appeals to data engineers, operators, and analysts in various departments and industries. 

The platform has a steep learning curve and requires a knowledge of dbt to run data transformations and implement the downstream dependencies. Otherwise, the ETL processes take a lot of manual effort and become error-prone.

Additionally, Fivetran doesn’t provide custom APIs on request. Instead, customers code custom integrations, or so-called “Function” connectors, themselves. The task isn’t easy to complete: customers need to write a cloud function and manage connectors themselves. 

Manage your marketing strategy, not the data pipeline

Improvado frees marketers from data hassle and lets them do marketing. It's a no-code solution that automates every step of the ETL process and marketing reporting and is easy to master.

Get a demo

Fivetran Pricing

Fivetran features four pricing plans without disclosing any actual numbers: Free, Starter, Standard, and Enterprise. Each plan has its features and limitations, like the number of users, sync frequency, access to advanced features, support, and more.

Overall, the tool is rolling on a monthly active row-based pricing model, meaning it fully depends on the number of rows inserted, updated, or deleted. For companies syncing data from high-volume sources like Google Search or Google Ads, the pricing can get steep really quickly. It also makes it difficult to forecast the marketing budget.

Fivetran Integrations

Fivetran provides native data source connectors to over 300 platforms. The tool also supports other data extraction methods, including flat-file feed, cloud storage, and email. Customers can also write code to create custom connectors or get access to Fivetran’s REST API.

Stitch

Stitch, also known as Stitch Data, is an automated cloud data platform that helps companies move their data from multiple sources to a designated warehouse for further analysis and processing. 

The platform provides a high level of control over the data pipeline with its orchestration features, including data replication frequency customization, logging and monitoring, API key management, configurable webhooks, and more. These features help tech-savvy teams to customize every step of the data extraction and loading process but, at the same time, can overcomplicate the process for others. 

As stated in the documentation, Stitch doesn't support user-defined data transformations. Advanced data transformation capabilities can only be accessed by signing up on Talend, Stitch Data’s “parent platform”. 

Who Should Use Stitch?

In short: Data analysts in small- and mid-market companies, processing lower  volumes of data and with a small set of data transformation needs

Stitch is most suitable for data analysts, data engineers, and business intelligence professionals looking for a tool to manage their data integration tasks.

Orchestration features and an SQL editor provide a setup for data management and pipeline control. While integration with multiple analytics tools and the most popular data warehouses helps automate and streamline the data ingestion process.

Stitch Pricing 

Stitch offers three pricing plans: Standard (starting at $100 monthly), Advanced (starting at $1,250 monthly), and Premium (starting at $2,500 monthly). Advanced and Premium plans are billed annually. All plans are row-based and open access to a different number of sources, destinations, users, and features. 

Stitch Integrations

The platform aggregates data from 140+ sources, including Salesforce, Facebook Ads, Google Campaign Manager, and other popular marketing and sales platforms. 

Stitch also makes provisions for pushing data from custom sources, using Import API or building your own connectors with the Singer framework. 

Import API acts as a reception point for arbitrary data sent as JSON files, which is then processed and sent to the designated destination. The Singer framework is an open-source solution that allows you to build your own taps, or connectors. Both methods are highly technical and require coding expertise.

Whatagraph

The last tool on this list of Supermetrics alternatives is Whatagraph. It's a reporting tool designed for marketing agencies and marketing teams in small businesses.

Whatagraph aggregates data from 40+ data sources and provides users with 95 dashboard templates and drag-and-drop widgets, custom metrics and KPIs and formulas to build a dashboard. Marketing agencies can customize their clients' reports with a white labeling solution and reflect their brand identity while sending dashboards.

The tool is straightforward and easy to use, but that is achieved through a lack of advanced features and use cases.

Who Should Use Whatagraph?

In short: Small businesses and small-scale marketing agencies that don't use third-party business intelligence and analytics tools 

Whatagraph is a good starting point for companies getting into marketing analytics and reporting. The tool doesn't require technical or coding experience to build a report, perform report segmentation and customization, and set up automated sharing.

While Whatagraph offers a range of customizable templates and the ability to drag and drop elements, it may not provide the level of customization enterprise brands require.

Additionally, the platform serves as the endpoint for your data. Whatagraph doesn't support integrations with Power BI, Looker Studio, Tableau, other analytics tools, or data warehouses. 

Whatagraph doesn't offer professional services for clients with unique needs. However, users get access to a dedicated account manager to help them through platform-related challenges.

Whatagraph Pricing 

Whatagraph runs on a three-tier pricing model: 

• Professional, starting at $233 per month, which opens access for five users to pre-made templates, historical data, and some other features;
• Premium, starting at $335 per month, which opens access for ten users to the same features in addition to a one-hour onboarding session and an overview feature;
• Fully customizable pricing plan.  

Whatagraph Integrations

Whatagraph offers native integration to 40 platforms, covering a range of basic marketing tools. The platform lacks sales data source connectors, which makes it difficult to map the whole customer journey, from ad click to check amount.

Whatagraph also offers the Whatagraph Public API for technically-skilled users, which allows you to push data from external platforms. However, this is a paid add-on feature.

Summary

This article provides a comprehensive overview of the top three Supermetrics alternatives, but it doesn't give you a quick and easy answer to what solution to choose. The decision must be based on your company's unique needs and requirements. Before making a decision, you'll need to consider the exact data sources and opportunity to build custom connectors, the level of data granularity, available data transformation features, ease of setup and use, availability of professional services, and the quality of customer support.

If you're still unable to decide, contact our experts for a demo call.

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