- Move the data to any destination with ease
- Consolidate all the data, metrics and dimensions at one single place
- Automatic manual reporting tasks
- Helps to reduce the risk of data creeping
Product Highlights
Supermetrics: The Ultimate Data Integration and Reporting Solution for Marketers
In today’s data-driven world, businesses rely on analytics and reporting to make informed decisions. However, manually collecting and consolidating data from multiple platforms can be time-consuming and error-prone. This is where Supermetrics comes in—a powerful tool that simplifies data integration, reporting, and visualization for marketers, analysts, and business professionals.
Supermetrics helps users pull data from multiple sources into tools like Google Sheets, Excel, and data warehouses like Google BigQuery. It eliminates the need for manual data exports, ensuring real-time and automated reporting. This article explores Supermetrics' data source connectors, reporting & visualization capabilities, and pricing structure to help you understand how it can benefit your business.
What is Supermetrics?
Supermetrics is a marketing data automation platform designed to help businesses collect, process, and visualize data from multiple marketing, advertising, and analytics sources. The tool simplifies data integration by connecting various platforms and automatically updating reports, saving hours of manual work.
Supermetrics is trusted by digital marketers, analysts, and business intelligence teams across industries to streamline data operations and make data-driven decisions efficiently.
Key Benefits of Supermetrics
- Automates Data Collection: Eliminates the need for manual data exports and imports.
- Seamless Integration: Works with Google Sheets, Excel, BigQuery, Looker Studio, and more.
- Customizable Reports: Allows businesses to generate custom dashboards and insights.
- Improves Decision-Making: Real-time data updates help businesses stay ahead of trends.
- Saves Time and Resources: Reduces the workload of marketing and analytics teams.
Now, let’s dive deeper into the core features of Supermetrics, starting with Data Source Connectors.
Supermetrics Data Source Connectors
Supermetrics provides seamless integration with over 100 data sources, enabling users to collect and analyze marketing, sales, and analytics data efficiently.
Popular Data Source Categories
Advertising Platforms
- Google Ads
- Facebook Ads
- LinkedIn Ads
- Twitter Ads
- TikTok Ads
- Snapchat Ads
- Microsoft Advertising
Analytics Platforms
- Google Analytics 4
- Adobe Analytics
- Mixpanel
- Matomo
Social Media Insights
- Facebook Insights
- Instagram Insights
- LinkedIn Pages
- Twitter Analytics
- YouTube Analytics
- TikTok Analytics
E-commerce & Sales Data
- Shopify
- WooCommerce
- Stripe
- Amazon Seller Central
CRM & Customer Engagement
- HubSpot
- Salesforce
- Mailchimp
- ActiveCampaign
SEO & Web Performance
- Google Search Console
- Ahrefs
- SEMrush
- Moz
Financial & Business Intelligence Tools
- Stripe
- Xero
- QuickBooks
How Do Supermetrics Connectors Work?
Once a data source is connected, Supermetrics fetches and updates data in real time within the desired reporting tool (Google Sheets, Looker Studio, etc.). Users can apply filters, dimensions, and metrics to customize their reports according to their business needs.
With Supermetrics’ robust data connectors, marketing teams can gather insights without needing to write SQL queries or manually export CSV files.
Reporting & Data Visualization with Supermetrics
One of the biggest challenges marketers face is transforming raw data into actionable insights. Supermetrics simplifies reporting and data visualization by allowing users to create custom dashboards in Google Sheets, Excel, Looker Studio, and BI platforms.
Supermetrics Reporting Tools
Google Sheets & Microsoft Excel
- Fetch real-time data and update spreadsheets automatically.
- Use formulas, pivot tables, and charts to create reports.
- Schedule data refreshes (daily, weekly, or monthly).
Google Looker Studio (formerly Data Studio)
- Create dynamic and interactive dashboards.
- Connect multiple data sources into a single report.
- Share real-time dashboards with teams and clients.
BigQuery & Data Warehouses
- Store large datasets for advanced analysis.
- Use SQL-based querying to extract and process data.
- Ideal for enterprise-level reporting and AI-driven insights.
Key Features of Supermetrics Reporting
- Automated Refreshes: Schedule reports to update automatically.
- Custom Metrics & Filters: Apply business-specific filters to refine reports.
- Cross-Channel Analysis: Combine data from multiple sources in one view.
- Pre-Built Templates: Ready-to-use dashboards for quick reporting setup.
With these features, Supermetrics enables businesses to track marketing performance, ad spend, SEO rankings, and sales conversions in a centralized and efficient manner.
Supermetrics Pricing
Supermetrics offers a flexible pricing model depending on the data source, reporting tool, and business size. The pricing is subscription-based, and users can select plans based on their requirements.
Supermetrics for Google Sheets & Excel
- Essential Plan: $69/month
- Core Plan: $239/month
- Super Plan: Custom Pricing
Supermetrics for Looker Studio
- Starter Plan: $99/month
- Core Plan: $239/month
- Super Plan: Custom Pricing
Supermetrics for BigQuery
- Custom Pricing (based on data volume and API usage)
Supermetrics API
- Pricing based on data volume and number of API requests
Supermetrics Free Trial
Supermetrics provides a 14-day free trial for new users to test its features before committing to a paid plan.
Which Plan is Right for You?
- Small businesses & freelancers: Google Sheets or Excel Essential Plan
- Marketing teams & agencies: Looker Studio Core Plan
- Enterprises & data-driven organizations: BigQuery or API Plan
Why Choose Supermetrics?
Supermetrics is an indispensable tool for businesses looking to automate marketing data collection, streamline reporting, and enhance data visualization. It helps organizations save time, improve decision-making, and maximize marketing ROI.
- Supports 100+ data connectors for marketing, analytics, eCommerce, and more.
- Works seamlessly with Google Sheets, Excel, Looker Studio, and BigQuery.
- Automates reporting and visualization with scheduled updates.
- Offers flexible pricing plans to suit different business needs.
- Saves hours of manual work for marketing and analytics teams.
If you’re looking for a powerful, easy-to-use, and reliable data automation solution, Supermetrics is definitely worth considering. Start with a free trial and experience how it transforms your data workflow!
- Screen activity recording and analysis
- Remote control and time tracking system
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- Data visualization and social sharing tools
- Creates real-time visualizations and analysis
- Flexible data connection options and integrations
- Execute multiple concurrent extractions
- Anonymous scrapping with rotational IP’s
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- Data discovery and visualization system
- Variety of different data warehouse systems
- Analytical reporting and score carding
- Data mashup feature for seamless gauge
- Dashboard with a key performance indicator
- System integration for all current operations
- Human guided algorithms for data collections
- Full scope data orchestration management system
- Send proactive notification to clients
- White label custom branding solutions
- Easy set-up with onboarding wizard tool
- Simple drag and drop workflows
- Strategic planning and performance matrices
- Excellent encryption governance and security
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- Sales prediction tool to gather information
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- Share reports living analytics insights
- Advanced automatic scheduled reports
- Graphic benchmark tools for predictive analysis
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- Seamlessly integrates with ML models
- Process change tracking and designings
- Create dashboards with drag and drop
- Mobile friendly interactive dashboards
- Data visualization and KPI monitoring
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Quick Summary
🏆 Best Overall: Supermetrics - Super Granular Analysis F... | ⭐ Runner Up: ActivTrak - Effectively Manages Your Rem... | 💰 Also Great: Zoho Analytics - Offers User Friendly Af...
Data Mining Tools Buyers Guide - Best Features, Benefits
Can you say which issues can generally be resolved by data mining? Data mining is an extremely important issue and it is used to validate and list information from the system or organizations' large volumes of data. It can be defined by data mining outcomes, how the data flows, and what the process is. Across fields such as retail, logistics, artificial intelligence (AI), government intelligence (GI), or marketing, data mining is commonly used. Leading generation software are available for many sectors exist: technology, e-commerce, hospitals, energy, and the study of biological evidence, police services, retail industry, knowledge management systems, education, and selling.
Data mining mainly helps to extract data transactions, transform them, and load them onto the data storage system. In particular, it mainly stores and manages data in a multidimensional database system. It analyzes the data with application software and has shown that these data are usually obtained in useful format by business analysts or experts.
Key Parameters To Look In Data Mining Software
Technologies
Classification, clustering, regression, and association rule-learning include data mining. Validation of results, the crucial step in the discovering of information, evaluates the patterns generated by data mining techniques against a larger data set. Patterns that are not even present in the generic data set in the training phase are rejected as an overfitting example.
Data Handling And Storage
The most important function of data mining software is the ability to process and store data. The zohoanalytics data mining tool software users are entitled to databases and in database systems to retrieve, convert, load, manage and store data. Company analysts and other applications can view the processed data using application tools.
Large Quantities Of Data
The amount of the data that is such as satellite details, credit card purchases, etc will be processed by automated techniques.
Easy To Use
Graphical User Interface (GUI) is a simple application for data mining software that allows the user to efficiently analyze the data.
Data Modeling
This function supports descriptive, predictive, and prescriptive modeling of data mining software. Data processing consists of utilizing approaches such as clustering, identification of patterns, aggregation of affinities, the examination of the principal components, regression, clustering, decision-making, and neutrality network to classify general correlations, categorize data and forecast possible events or results with the best smartlook software for websites.
Increases Website Optimization
It helps to find all kinds of data about the unknown elements according to the meaning and definition of data mining. Increased data mining allows customizing the platform.
Benefits
- The software has High Performance. Software for data mining increases performance and creates an environment that quickly delivers results.
- It is Pre-processing. Pre-processing data is an important phase. Data cleaning, data transformation, data standards, and data integrations are included.
- It has the ability for dashboards, visualization, and visual programming. The ability to convey data in easy-to-understand formats is one of the most important benefits of the data mining software. For instance, data can be displayed by software users in graphs, tables, scatter plots, pie charts, and geographic maps. Some software products for data mining have customizable drag & drop dashboards.
- One of the advantages of this software is the Customer Behavior and Habits. Data mining is valuable for tracking the actions and preferences of consumers. For example – If a consumer is on the search for a special offer, which has already been predicted and stored by data mining in his database, it will be easy to identify the habits (special product).
- You can track the trend analysis. Among the most frequent benefits, data exploitation offers a trend/pattern that customers usually follow when they are at a particular site.
- Through software, companies can learn more about their clients to work more efficiently, boost sales and reduce costs by finding patterns in large sets of data. Significant benefits of data mining include effective data acquisition, storage, and retrieval.
- Data mining contains guidance on loan and credit reports for financial institutions. The bank and financial institution can determine good and bad loans by building a model based on historical customer data. Moreover, data mining lets banks spot unauthorized purchases via credit card to secure the owner of a credit card.
How To Select Data Mining Software?
Data mining is among the most insightful and probably the most famous tool businesses in the modern economy. Some data mining tools are available to meet your data mining requirements. You can also use them. However, when searching for a data mining method, it is necessary to take into account the following aspects:
Data Amount
The tool you choose for data mining should be able to handle every day the quantity of data you manage. It is worth buying a high-performance data mining tool if you handle a huge amount of transactional data. If your data is not large, you can choose a free data mining solution to satisfy your data mining needs.
Beware of Reviews
Data is important but data is meaningless without context. Check skills as people give their views for you. The best part of the review is that it takes nothing for granted – it is the chance to answer questions you don't even know that you should be asking. It helps you to decipher what signals to take which in popular culture are amplified and which your brand needs answers.
Results
What are your data mining activities that need to achieve? Are you searching for potential results, trends, data analysis, or patterns? The data mining method you chose always depends on the outcomes you seek and on the form of organization. Different tools for data analysis differ significantly from data mining. The right tool must be chosen according to the results you need.
Price
Price is a major factor in selecting the right data mining tool. Should choose a tool that can be tested free of charge before you have to pay for it. Furthermore, select a price model that satisfies your business needs.
Customer Support
Make sure you select the tool which provides proper customer support. It must be available 24*7. It should also be adequate, and easy to follow documentation.
Online Resources
The usage of a method for data mining relies heavily on the tools accessible. If you are involved in your team with data analytics and mining experts, the idea to use a data mining tool could make sense. And On the other hand, it makes the impression to invest in a decent data mining tool that can contribute to automating the entire process if your team is struggling with technical expertise.
Conclusion
In the end, all of the techniques, processes, and the activtrak data mining systems contribute to the development of new creative elements. And then at the end of this discussion, the function, aspects, purposes, features, and benefits of the data mining methodology are understandable.
Consequently, you can better determine your credibility and feasibility after reading all of the above-mentioned information on data mining techniques. A brief introduction to data mining software is provided in this post. The app lets consumers easily and rapidly carry out data collection activities. If you want to build your career in the field of data mining, then you highly recommend these tools.
Data Mining Softwares
Frequently Asked Questions
What are the data mining softwares?
Why is Supermetrics - Super Granular Analysis F ranked #1?
How do we choose the data mining softwares?
How often is this list updated?
Written & Researched By
BestValued Team
Best Valued Team possess extensive research and vocabulary skills to handle complex contemporary technologies and progressions to engage the audience with top-notch content.
Last Updated: August 11, 2022