machine-learning in Python VS Supermetrics

Supermetrics started with a bold idea: to make mastering marketing data simple and accessible for businesses everywhere. Today, it’s a pioneering marketing intelligence platform trusted by over 200,000 organizations worldwide, including renowned brands like Nestlé, Warner Bros, and Dyson.

From day one, Supermetrics has been driven by a mission to empower marketers and data analysts with seamless access to their data, regardless of where they are on their journey. What began as a solution to connect marketing data has evolved into a powerful platform that extracts and consolidates data from over 150 marketing and sales tools—such as Google Analytics, Facebook Ads, and HubSpot—into preferred destinations with ease.

As the marketing landscape evolves, so does Supermetrics. Our dedication to innovation has earned us recognition as one of G2’s Top 50 Best EMEA Software Companies for 2024, highlighting our commitment to staying at the forefront of marketing analytics.

At the heart of Supermetrics lies a commitment to innovation, transparency, and customer success. We believe in the power of data to tell stories, solve problems, and create opportunities. These values are reflected in our culture, which fosters collaboration and encourages team members to think creatively and push boundaries.

Looking ahead, Supermetrics is poised to continue leading the way in marketing analytics. With exciting innovations on the horizon and a growing global presence, we remain dedicated to helping our clients not just succeed but excel in the ever-changing world of marketing.

Questions & Answers

As answered by people managing machine-learning in Python and Supermetrics.

What makes your product unique?

Supermetrics's answer:

Supermetrics stands out for its ability to seamlessly connect, consolidate, and centralize data from over 150 marketing and sales platforms into preferred destinations, like spreadsheets, BI tools, and data warehouses. Its simplicity, reliability, and scalability make it accessible to organizations of all sizes, empowering marketers and analysts to save time and focus on insights.

Why should a person choose your product over its competitors?

Supermetrics's answer:

Supermetrics began as a passion project in 2009 when our founder sought an easier way to pull marketing data into spreadsheets. What started as a simple solution has evolved into a globally trusted marketing intelligence platform, supporting over 200,000 organizations and earning recognition as one of the top software companies in EMEA.

How would you describe the primary audience of your product?

Supermetrics's answer:

Supermetrics leverages cloud-based technologies, robust APIs, and advanced data integration frameworks to provide a seamless data pipeline. Its architecture ensures high performance, security, and scalability for a wide range of use cases.

What's the story behind your product?

Supermetrics's answer:

Supermetrics offers unmatched simplicity and reliability in extracting and consolidating data. It supports an extensive range of platforms, provides automated workflows, and delivers exceptional customer support. These features help users focus on decision-making rather than manual data wrangling.

Which are the primary technologies used for building your product?

Supermetrics's answer:

Our primary audience includes marketers, analysts, and business leaders looking to streamline their reporting and gain actionable insights. From small agencies to large enterprises, we serve professionals who value data-driven decision-making.

Who are some of the biggest customers of your product?

Supermetrics's answer:

Supermetrics is trusted by global brands like Nestlé, Warner Bros, Dyson, and L’Oréal, as well as thousands of agencies and growing businesses worldwide.

Reviews

These are some of the external sources and on-site user reviews we've used to compare machine-learning in Python and Supermetrics

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Supermetrics Reviews

Best Affordable Alternatives to Supermetrics

Supermetrics integrates marketing metrics with the places where customers currently save their data, whether it’s a reporting app, a spreadsheet, a data lake, or a data warehouse. However, Supermetrics has some significant flaws. For example, it is expensive, has slow processing with large data sets, and does not provide a built-in reporting system. Without a doubt, this...

Source: adsbot.co

Top 5 Best Integration Software for 2023

Supermetrics is aimed primarily at streamlining marketing data. Integrating data from over 100 platforms, it makes a business’s marketing info analysis-ready with reporting and analytics tools. It currently serves about 17,000 companies, from small firms and agencies to large corporations across a variety of industries. It promises better returns on advertising expenses...

Source: everhelper.me

Funnel.io Alternatives and Competitors in 2022

If you're in the market for a marketing analytics platform to help you aggregate all your data into one place, you'll likely want to review this list in detail, comparing Funnel.io vs Improvado vs Supermetrics vs Domo vs Datorama. There is a lot to consider from ease of use, to integration with the platforms you use as well as customization and access to customer support.

Source: improvado.io

Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model

Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.

Source: windsor.ai

Funnel.io — Data integration platform with 500+ data sources

There is not too much information about their functionality here. To make it simple, Supermetrics extracts data from marketing sources into the above destinations. Other destinations will need to use the Supermetrics API.

Source: www.windsor.ai

Social recommendations and mentions

Supermetrics might be a bit more popular than machine-learning in Python. We know about 8 links to it since March 2021 and only 7 links to machine-learning in Python. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

machine-learning in Python mentions (7)

Data science and cybersecurity with python project
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Ask HN: How can I learn ML in 6 months as a teenager?
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 3 years ago
Are these CS courses enough CS knowledge for ML engineer?
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: over 4 years ago
how to do i train an AI
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Python Data Science Project Ideas (+References)
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago

Supermetrics mentions (8)

Unique Business marketing stories Part-1
Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: about 3 years ago
Ask HN: Who is hiring? (April 2023)
Supermetrics | Senior Software Engineer | Full time | REMOTE (Portugal) | https://supermetrics.com/ Join our newly founded Internal Integrations Engineering team, develop scalable solutions to support our sales processes, and improve automation and internal tooling for Supermetrics' Sales, Finance, and Customer Support functions. We hope you have strong backend programming skills in PHP and Typescript/Javascript... - Source: Hacker News / over 3 years ago
Anyone here is familiar with Facebook API?
Https://supermetrics.com is one of them but there are many more actually. Do a quick research about the alternative platforms and let me know if you need further help :). Source: almost 4 years ago
Calendar Heroes: Connor MacDonald, CMO at The Ridge - Q&A on Time Management
Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / about 5 years ago
Converting dev environments to Apple Silicon
The reality is that Apple will switch to ARM chips, and as devs, we need to be prepared. So this past weekend, faced with a shortage of Intel Macbook Pros for our new devs, we sat down to make it all work for our Supermetrics developers. - Source: dev.to / about 5 years ago

What are some alternatives?

When comparing machine-learning in Python and Supermetrics, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Databox - Databox is modern Business Intelligence software for teams that need answers now.

Compare machine-learning in Python VS Supermetrics and see what are their differences