Some of the best Supermetrics alternatives and competitors include Porter Metrics, Power My Analytics, Fivetran, Funnel.io, Adverity, and Apipenhy.
Yet, to come up with a comprehensive list, I will explain how to understand the marketing reporting and analytics tools landscape from a founder, marketer, and investor perspective.
As the co-founder of Porter Metrics, an actual Supermetrics alternative, I had a hard time searching for reliable lists and reviews.
Sites like G2 Crowd, TrustRadius, and Capterra generate their listings automatically, ignoring the caveats and insights of every provider. They rank first on Google though.
As Supermetrics’ product is wide, they play in multiple categories and markets, and its alternatives can vary a lot.
- As a Google Data Looker connectors provider, Supermetrics competes with Porter Metrics, Power My Analytics, Dataslayer, Reporting Ninja, and Two MInute Reports.
- As a Google Sheets add-on to sync marketing data, Supermetrics competes with Awesome Table, Airboxr, SyncWith, along with 100 providers.
- As a marketing reporting tool, Supermetrics competes with Whatagraph, DashThis, Databox, Agency Analytics, and Report Garden.
- As a Business Intelligence software, Supermetrics competes with Y42, Polar Analytics, Peel Insights, Grow.com, Metabase, and Whaly.
- As an ETL solution, Supermetrics competes with Fivetran, Funnel.io, Stitch, Improvado, Hevodata, and Datadoo.
- As an enterprise marketing reporting software, Supermetrics competes with NinjaCat, Tapclicks, Datorama, Domo, and Adverity.
And for each of these verticals, you’ll find dozens of other providers. As a competitor, but also an admirer, I’ll do my best to be as transparent and unbiased as possible.
Supermetrics overview
You’re looking for a Supermetrics alternative because of two things:
- It’s very expensive and they’re constantly increasing their pricing.
- Their customer service is bad, according to G2 reviews (and calls with our customers).
Supermetrics is a market leader in the marketing reporting and analytics industry, reaching $50 million dollar in ARR as of 2022.
As they’re market leaders they have the incentive to charge a premium price.
As they have +17,000 customers, they need to prioritize their biggest clients to provide good customer support.
Supermetrics connects all your marketing data to automate your reports in the destinations your company is already using, an extraordinary competitive advantage (that we are copying).
Supermetrics integrations
They offer +116 marketing integrations for e-commerce, ads, social media, programmatic, B2B, and more.
The company is rapidly growing this number, building a moat here: it’s very hard for competitors to develop this number of connectors.
Supermetrics currently offers 16 destinations, including:
- Google Looker Studio
- Google Sheets
- Microsoft Excel
- Google BigQuery
- Google Cloud Storage
- Snowflake
- Amazon Redshift
You’ll use different destinations depending on the volume of data, tech stack, complexity of your needs, and if you have a development team at your disposal.
As such, reporting tools destinations like Google Looker Studio and Sheets serve well small businesses without large volumes of data and with no developers.
You’ll need data warehousing solutions like Google BigQuery when you have a data engineering team, the volume of the data is high and your reports are slow, and you need to integrate and group your data from multiple data sources.
Supermetrics pricing
On average, you will pay US3,200/year or US267/mo for a Supermetrics subscription, according to its CEO.
For small businesses, Supermetrics pricing ranges from $49/mo to about $724/mo (per destination).
Precisely, you’re likely to pay $124/mo for a Supermetrics plan, for a single destination (e.g. Google Sheets or Google Looker Studio).
With Supermetrics, all annual plans have a 20% discount and quarterly plans a 10% discount respectively.
Their pricing depends on three factors:
- Integrations: number of integrations and accounts per integration. Also, there are some integrations only available for larger plans.
- Destinations: for SMBs, Supermetrics offers Google Sheets, Excel, and Google Looker Studio, ranging from $49/mo to $724/mo; for data warehouse destinations like Google BigQuery, Supermetrics requires you to request a demo, which you makes you infer you’d pay easily above $1000/mo (plus implementation and maintenance costs), making it ideal for mid-market and enterprise.
- Users: the number of people with access to the license to connect data.
Integrations are the most determinant factor for your Supermetrics license as you should consider:
- Number of integrations: Supermetrics plans scale based on the number of integrations, which means that every new app (e.g. Facebook Ads, Facebook Insights, Instagram Insights, etc.) will increase the pricing.
- Accounts per integration: every integration has a different meaning of account; for Facebook Ads it’s ad accounts, for Instagram is business profiles, for Shopify is stores, etc. Here, I find the pricing restrictive because the minimum number of accounts per integration is 10, so you’re paying the same if you’re connecting a single Facebook Ads account or 10.
- Type of integrations: most integrations are unlocked unless you upgrade your plan. For initial plans, you may access general-use connections like Google Analytics and Facebook. However, to unlock other integrations, you’ll be paying between $299 and $724 every month.
Supermetrics pros and cons
As an advantage, Supermetrics has a great quality and quantity of integrations; unlike other players that we’ll mention later, Supermetrics focused on delivering fast, reliable, and complete connectors.
If you’re thinking of migrating Supermetrics to another provider, don’t only verify they provide the integrations you need, also look for the metrics available, speed, stability, and the ability to combine metrics and dimensions freely.
I consider Supermetrics has done a great job in terms of quality. Now with a team of hundreds, they’re able to scale such quality to hundreds of integrations.
As disadvantages, Supermetrics pricing is high and complex, with poor customer service.
Consider that, for instance, Porter Metrics’ pricing only varies depending on the number of accounts you want to report, while Supermetrics has 3 factors with many caveats.
Also, take in regard that not all the integrations are available for all the destinations.
For most customers, Supermetrics has a ticketing system and a help center for customer support (i.e. 100% self-service).
Porter Metrics, instead, offers free video calls, chat, and email for all users.
We serve about 1,300 clients and they +18,000. We’re still in the capacity to even have our founding team taking calls with our users and customers.
Porter Metrics
Porter Metrics is a Supermetrics alternative with lower prices, better customer service, and more ease of use. We focus on Google Looker Studio connectors.
We’re a better fit for SMBs, particularly, marketers in e-commerces and agencies using Google Looker Studio or Sheets with no developers or analysts available.
Porter prioritizes providing faster time to value (aka building your reports faster) and providing personalized customer support.
We focus on being the fastest way to automate your marketing reports by:
- Having the world’s largest Google Looker Studio report templates gallery
- Being 100% no-code: we implemented a no-code data warehouse for all our integrations so you don’t need to migrate to solutions like Google BigQuery for data volume issues.
- Objectively better support: we give free video calls, chat, and email for all our clients; our support team is composed only of marketers. Even me, the CEO, attended several calls today. You can book me here, btw.
- More content: we offer more tutorials, blog posts, videos, and templates than Supermetrics. Our free Looker Studio tutorial has been watched +150,000 times.
However, Supermetrics still comes with greater advantages such as way more integrations and destinations.
Porter Metrics Integrations
Supermetrics has 116 integrations and Porter Metrics has 15.
Porter mainly covers e-commerce, ads, and social media with integrations such as:
- Facebook Ads
- Facebook Insights
- Instagram Insights
- Google My Business
- Shopify
- HubSpot
- Mailchimp
- WooCommerce
- TikTok Ads
- Linkedin Ads
- LinkedIn Pages
- Twitter Ads
- Twitter Pages
- Facebook competitive analysis
- Instagram Competitive analysis
Most competitors in this list don’t offer social media competitive analysis tools, unlike Porter.
Porter Metrics Pricing
The average price that customers pay for Porter Metrics is currently $40/mo. The most popular plan is the Teams at $30/mo. Remember, for Supermetrics, the average is $267/mo and their most popular plans are $124/mo and $299/mo.
When comparable, Porter Metrics has significantly lower (and more simple) prices than Supermetrics.
Both providers offer a 14-day free trial. Porter offers the Facebook Competitors connector for free.
Unlike Supermetrics that changes pricing based on integrations, accounts per integrations, type of integrations, users, and destinations, Porter charges uniquely by the number of accounts that you connect to Google Looker Studio.
For a single account integration, Supermetrics starts at $49/mo, while Porter starts at $15/mo.
Supermetrics states they don’t issue refunds:
Porter offers 100% refunds within 30 days after your purchase. You just need to reach out to chat to issue if needed.
Customer support
Dozens of our customers are former Supermetrics users who claimed they switched for increased prices and poor customer support.
While Supermetrics offers chat and email as support channels these users claim that most of the support is routed through a ticket management system and may take a lot of time to reply back.
At Porter, to offer an objectively better customer service by providing:
- Premium templates and setup help to our annual clients
- Free, unlimited video calls, chat, and emails to all users
- Onboarding to annual customers (which is me teaching your Google Looker Studio)
- Free report setup (we build a custom report for your business so you don’t have to pay hundreds of dollars to a freelancer to do it).
While the quality of support might be ambiguous I encourage you to book a call with me to meet personally to try out yourself.
You may also tell the level of the support in the quality of the report templates gallery. I also encourage you to check our reviews on G2 Crowd.
User management
Supermetrics lets you manage users by clients or teams, which I found very useful for large organizations to manage data and ensure privacy.
Porter takes a more simple approach: just add the Google emails of users that will connect data under your paid license. You can add unlimited users to your plan.
Ideal customers
Porter Metrics is ideal for non-technical marketing teams and agencies, particularly in the e-commerce space with no technical expertise.
Supermetrics is a better fit for you if your company or agency has a development team that can set up a data pipeline and use data warehouses. As they offer more integrations, Supermetrics can better serve other verticals, especially in the advertising space.
Windsor.ai
Windsor.ai is a marketing attribution software that also offers data integrations to Google Looker Studio, SnowFlake, BigQuery, and Google Sheets.
A clear value proposition of Windsor.ai vs Supermetrics is that they focus on multi-touch attribution measurement and revenue prediction along with other features like:
- Attribution modeling
- Cross-platform data blending
- Customer journey visualization
- TV Ads performance
- Google Ads Optimization
- Access to API to integrate to other tools
In fact, their competitors seem to be tools more like Funnel.io and Rockerbox more than Supermetrics itself that doesn’t offer these features (unless you have a developer to build these customizations).
From Denmark, Windsor has bootstrapped their business to USD 1 million/year, starting in 2017.
I personally like Windsor because they’ve managed to bootstrapped with a small team (around 10 people) to deliver quite a robust product: 60 integrations, 11 destinations, attribution and other data transformation in between. That’s quite impressive.
Windsor. Ai Integrations
Windsor.ai currently has 60 integrations, especially serving advertising, CRM, and e-commerce.
They offer 11 destinations, including:
- Looker Studio
- Power BI
- Tableau
- Google Sheets
- Microsoft Excel
- Google BigQuery
- Snowflake
- Amazon S3
- Azure Blog Storage
- PostgreSQL
- MySQL
Supermetrics doesn’t offer (or at least doesn’t mention) database destinations such as PostgreSQL and MySQL, so Windsor has an advantage here.
However, Supermetrics offers an API and several setups to allow them to offer Power BI and Tableau as destinations, for instance.
Based on these integrations and destinations, I’d argue that, while Windsor and Porter offer marketing reporting, we’re serving a different type of client.
Windsor.ai pricing
The average price you’ll pay for a Windsor subscription is $1000/mo, according to their CEO (data from 2021).
Interestingly, they started selling to enterprises and started moving down-market for a more self-service approach, so I’m sure many of their new customers are paying way less.
They have a free tier: one data source connector for 2 destinations (I guess it might be 1 Facebook Ads account for Google Looker Studio or Sheets, for instance, which is quite generous). However, they limit it to one report, so I wonder how they do that.
Their pricing depends on the number of data source connectors (which I guess is our equivalent of connector account) and destinations.
Customer support
I haven’t personally heard of any experiences of Windsor.ai when it comes to customer support.
However, their G2 Crowd reviews reflect that they do well, but it’s their product ease of use, and maybe lack of content, that backfires.
Who’s Windsor.ai for
Niklas Kloster, the CEO of Windsor, is a former data scientist who worked with big brands with “complex” customer journeys—and his company reflects exactly that.
While Windsor, Supermetrics, and Porter offer Looker Studio integrations for similar verticals, I think Windsor focuses more on upselling to companies who really need attribution across multiple channels, and, by default, that have a development team to run these pipelines.
Consider that Windsor offers an API, so they’re explicitly selling to companies with developers.
As such, they don’t focus on being the friendliest marketing reporting option, but they outperform Supermetrics by having these attribution models in place (and lower pricing, of course).
Alternatives to Windsor.AI
Similar competitors of Windor.ai in the marketing attribution space for B2C might include Funnel.io, Rockerbox, Anytrack, SegmentStream, and TripleWhale.
Reporting Ninja
Reporting Ninja is cheap marketing reporting automation.
They started with their own reporting tool for Google Ads, Google Analytics, and PPC, but I guess Google Looker Studio connectors are already making a significant part of their revenue.
They’ve been in the market for +10 years, and their positioning is towards being the cheapest option for marketing reporting.
Reporting ninja integrations
Reporting Ninja offers 21 integrations, including:
- Google Analytics
- Facebook Ads
- Facebook Insights
- LinkedIn Ads
- LinkedIn Insights
- Mailchimp
- HubSpot
- Search Console
- TikTok Ads
- Youtube
Like Supermetrics, they have an interesting cross-channel integration that groups multiple ad platforms by default. Data blending is tricky within Looker Studio so this is highly appreciated.
An important disadvantage of Reporting Ninja, to me, is the ease of use.
You should paste API keys for connecting the data and you need to previously build the query you want to report on their interface before bringing it easily to Looker Studio.
That’s the kind of caveat some providers have a hard time to explain on their website.
With Supermetrics and Porter, for instance, you can freely combine metrics and dimensions, which I do not find easy with Reporting Ninja.
So, Reporting Ninja might offer the integrations that you need, but when it comes to bringing specific metrics or dimensions, you’ll need to watch out for their capacity.
Customer support
Personally, I don’t like their interface. But if you don’t like Google Looker Studio, they have an internal report builder.
About customer support, in particular, you can only access through sending out a message with detailed specifications.
As mentioned in this Report NInja Overview, good reviews include usability and pricing. Bad reviews talk about slow integrations and bad UI.
Reporting Ninja pricing
As far as I can tell, Reporting Ninja is the cheapest Google Data Studio connectors, starting at $20/mo and going up to $120/mo, which makes me wonder about their capacity for customer service, content, and innovation.
Who’s Reporting Ninja for
Reporting Ninja is built for marketers with basic reporting needs and highly price-sensitive: low data, few data sources, standard combinations of metrics and dimensions, and with no special need of training or customer support.
Alternatives to Reporting Ninja
Similar competitors to Reporting Ninja might include Porter, Two Minutes Reports, Catchr, ReportDash, and Metricool because they offer affordable connections to Google Looker Studio.
Power My Analytics
Power My Analytics is a great solution for Google Looker Studio and Google Sheets marketing data integrations (that I’ve personally tested).
When we build Google Looker Studio connectors at Porter, we take as a reference both Supermetrics and Power My Analytics.
Power My Analytics integrations
Sometimes Power My Analytics connectors outperform Supermetrics. I’ve seen it with Instagram Insights when reporting stories. But their Twitter connector is not as good as Supermetrics (both are bad, actually. Twitter API is not cool).
Power My Analytics offers Google Sheets, Microsoft Excel, Google Analytics, and Google Data Studio as destinations for more than 35 data sources.
The main difference between Power My Analytics VS Supermetrics is that it offers an additional layer of stability by providing data warehousing by default. In terms of data sources, besides a few exceptions, Supermetrics offers everything PMA does.
Power My Analytics is a great alternative, I admit. They have a data warehousing feature that stores data so users can have their reports even. if the apps’ APIs have an outage.
In our experience building connections to Data Studio, apps’ APIs don’t have outages very often but they do updates that mess the data, making all Data Studio connectors, regardless of the provider, break.
I think that Power My Analytics measures to ensure stability is a smart and needed move, especially with Looker Studio, an awesome free reporting tool that is not as stable as we’d want it to be.
I also acknowledge the quality of their connectors; when we compare them against Supermetrics, they’re pretty similar; both have as many fields as the APIs let bring and they’re remarkably stable.
If you test other Supermetrics alternatives, you’ll see that most providers lack many metrics, they’re slow and unstable.
My summary for Power My Analytics, at least for Looker Studio, is that they’re Supermetrics but cheaper.
Power My Analytics pricing
Power My Analytics is cheaper than Supermetrics, but their pricing structure is fairly similar.
- For a single integration, one account is $14,95/mo; two accounts are $29; three accounts are $44.
- If you use 5 integrations, 1 account per integration is $40/mo; up to accounts per integration is $96/mo.
- For all their integrations, from 20 accounts, their plan starts at $100/mo. On average you’re paying a little above $4/mo per account connected with Power My Analytics.
- Their Google Sheets add-on is $50/mo but it’s included from the plans starting at $100/mo.
So, PMA has a very optimal pricing if you have many accounts for the integrations you’ll use.
Power My Analytics alternatives
When it comes to Google Looker Studio and Google Sheets integrations,, the leading providers are Supermetrics, Porter Metrics, Power My Analytics, Datalayer, Windsor.ai, and Two Minute Reports.
Awesome Table
Awesome has over 10 million downloads of their Google Sheets extension to import data to Google Sheets.
The Google Apps Marketplace for Google Sheets lists 100 extensions related to marketing data.
One that called my attention for its beautiful interface and very low pricing is Awesome Table.
When it comes to Google Chrome Extensions importing marketing data to Google Sheets, you’ll take a look at these factors.
Integrations
Awesome Table currently has 28 integrations among CRM, E-commerce, marketing, design, and databases. They lack basic social media and ads integrations like Facebook or Instagram, but they have:
- Google Analytics
- Google Search Console
- Stripe
- Shopify
- Stripe
- HubSpot
- Salesforce
Besides integrations, you might take a look at other features Supermetrics for Google Sheets offer that other alternatives might be lacking, such as:
- Scheduling data refreshes hourly, daily, etc.
- Filtering your data before pulling it into sheets.
- Customizing colors, headers, formats, switching rows and columns, data aggregation, formatting, etc.
These are tiny details that may get you stuck when it comes to building specific marketing reports.
Pricing
With Awesome Tables, you’ll be paying about $20/mo to $80. Compared to Supermetrics that starts above $100/mo, it’s remarkably more affordable.
I’d encourage you to test among the +100 Google Chrome extensions available for marketing reporting – pricing and integrations may vary a lot.
Alternatives to Awesome Table
You’ll find at least 100 providers for marketing data integrations and reporting on Google Sheets. Some of them worth mentioning are Apipheny, Airboxr, Coefficient, and SyncWith.
Dataslayer
Dataslayer offers more than 45 marketing integrations to report on Google Looker Studio, Google Sheets, BigQuery, and several databases. They also offer an API so you can unlock other destinations such as Microsoft Power BI.
As a competitor, I think Dataslayer has developed a product to look exactly like Supermetrics but less expensive, instead of pursuing a strategic differentiation.
However, I don’t think they match Supermetrics’ quality in terms of connector speed and stability.
As a difference, their pricing model is based on usage (API calls) instead of accounts, which I found very interesting and fair; users pay as long as they use the product (which is measured by how much data they’re querying).
Integrations
Dataslayer offers 45 integrations, mainly covering PPC and databases, including:
- MariaDB
- PostgreSQL
- Snapchat Ads
- Criteo
- Apple Search Ads
- Bing Ads
- Google Campaign Manager
As destinations, they offer
- Google Looker Studio
- Google Sheets
- Google BigQuery
- And a Query Manager to import data on Qlick, Tableau, and Power BI
Pricing
On average, you’ll pay between $75/mo and $127/mo for a Dataslayer subscription.
Unlike all other providers that charge based on the number of data sources and accounts connected, Dataslayer prices based on API calls.
The advantage of this model is that’s “fair”: users pay as long as they’re getting queries (aka responding questions).
The great disadvantage is that it’s not easy to predict or calculate your billing by the end of the month. We’re marketers, not developers, so we don’t have a notion of what an API call represents.
Customer support
Dataslayer is the only provider in this list to highlight a 24/5 customer support availability via chat, including a 30-min training call for all customers, including monthly plans, which is a nice deal (that we might steal?).
Who’s Dataslayer for
Dataslayer’s positioning is very clear: they’re meant to be an affordable Supermetrics alternative, so it makes them a good fit for former Supermetrics clients who are willing to trade off some quality for a big cost saving.
Alternatives to Dataslayer
Some alternatives to Dataslayer include Porter Metrics, Supermetrics, Power My Analytics, and Windsor.ai.
Funnel.io
Funnel.io is a marketing ETL (Extract, Transform, and Load) solution. As their average ticket was $900/mo in 2020 (and increasing), it’s fair to say they’re going towards mid-market companies.
With their latest $66 million dollar funding, it’s one one of the players in the market with more capital raised.
Such funding has allowed them to build more than 500 integrations with 12 destinations, vastly outperforming Supermetrics.
As a marketing data aggregator, i.e. they centralize your marketing data and put it in destinations like data warehouses, Funnel.io serves better companies with engineering teams.
Funnel.io is a cloud-based marketing data aggregation platform that allows businesses to collect, unify and analyze their marketing data from various sources.
The platform supports over 500 data sources and enables users to connect and retrieve data from a variety of marketing channels, including Google Analytics, Facebook, Instagram, LinkedIn, Amazon, and many more.
With Funnel.io, users can streamline their marketing data by centralizing data from different sources into a single platform.
The platform automatically transforms and maps the data into a unified format, making it easy for users to analyze their marketing performance and generate reports. This helps businesses to quickly identify trends, insights, and actionable information from their marketing data.
Additionally, Funnel.io has integrations with popular BI tools like Tableau, Power BI, and Google Data Studio, allowing users to create advanced reports and insights.
Overall, Funnel.io provides businesses with an efficient and effective way to aggregate, analyze and visualize their marketing data, helping them to make data-driven decisions and improve their marketing strategies.
Funnel.io integrations
Funnel.io is, perhaps, the player with the most marketing integrations with over 500 apps, while Supermetrics offers 116.
Funnel has a no-code component that lets you blend, clean, and transform data before you send it to a destination, which is quite handy, something that Supermetrics launched later.
I’ve personally read very good comments about Funnel.io on Facebook, as a reliable solution.
However, having so many integrations comes with a cost; I have also heard their integrations are not as complete and granular as Supermetrics’ integrations; maybe you want to check what metrics they offer and if you can freely combine them with the dimensions you need.
On the other hand, Supermetrics doesn’t store clients’ data to follow a strategy to ensure privacy and security. The cost of this is that the user needs to implement their own data warehouse or storage solution.
Funnel.io within their services provides managed data warehousing.
Recommend you to read Supermetrics VS Funnel.io.
Funnel.io pricing
With Funnel.io, you can’t try the product on your own and need to request a demo first to enable a free trial. For data of 2020, you’d pay $950/mo on average for a Funnel.io subscription.
But as the company is going up-market such average should be increasing as well.
You should note that, unlike providers described before, you don’t have a self-service option, and need to go through sales to get access to the product.
By default, ETL solutions are about 10 times as expensive as Google Looker Studio connectors or Google Sheets add-ons.
Funnel.io competitors
Some Funnel.io alternatives include Supermetrics, Stitch, Fivetran, Improvado, Hevo Data, and Datadoo.
Stitch
Stitch data is an open source ETL solution with +130 integrations with 10 destinations.
Being open source makes it strategically different: they get more users to create more integrations and pipelines that other users can leverage.
The disadvantage is that it’s hard to ensure the quality of community-built integrations.
Stitch integrations
Stitch data provides pre-built integrations for more than 100 data sources, including popular marketing, sales, and financial platforms.
It supports a wide range of data warehousing platforms, including Amazon Redshift, Google BigQuery, Snowflake, and Microsoft Azure.
Stitch data offers a user-friendly, no-code interface that enables businesses to set up and manage data pipelines without the need for specialized technical expertise.
It supports advanced data transformation capabilities, including filtering, sorting, and aggregating data, as well as custom SQL queries.
Stitch data provides real-time data replication, ensuring that the most up-to-date data is available for analysis.
It offers robust security features, including encryption, access controls, and compliance with industry standards such as GDPR and SOC 2.
Stitch pricing
Stitch is clearly built for data engineering teams and not marketers, something reflected in their pricing model based on number of rows of data, destinations, sources, and data refreshes.
A paid Stitch plan starts at $100/mo and can go up to $2500/mo.
Databox
Databox is a data reporting tool that mainly targets marketing and sales teams. Built by ex HubSpotters, the company has over $8,5 million dollars in annual revenue with more than 2,000 customers.
Unlike the other providers listed, Databox offers its own data visualization tool, rather than transferring the data to other destinations, which lets them fully control their UI.
I’ve personally tested Databox and really loved it. Connecting the data and creating dashboards is very intuitive. They offer data storage, so I don’t need to think of any additional setup.
For basic reporting, Databox is a great solution. Especially because they have +50 integrations, some of them exclusive to them.
However, Databox isn’t meant to do more complex things that eventually businesses need: their data blending capabilities, being able to group data, and even custom metrics or selecting dates is very limited.
Databox integrations
Databox offers +70 integrations, especially for marketing data.
However, we should highlight some features unique to them that, to me, are a big deal.
First, they have an agency mode that lets you have an overview of all your clients in a single view, which is dope. Doing this on tools like Google Looker Studio will take you data warehousing, SQL, and lots of hours of trials and errors.
And second, they have a very smart benchmarking tool. If you connect your business data, they’ll let you compare how any metric from all your data sources compare to others, and you can break down your data by any type of cohort (business size, industry, etc.).
Databox pricing
Databox starts with a freemium plan for 3 integrations, and the paid plan starts at $91/mo to $571/mo.
Databox alternatives
Some alternatives to Databox include Whatagraph, DashThis, Agency Analytics, and Report Garden.
