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The coolest event analytics platform!
What do you like best about the product?
SA's analytics help in collecting granular event-level data from platforms which includes web and mobile platforms and it helps to analyse that data with structured data stores to support advanced data analytics. SA being an open source platform helped us to explore the wide range of analytics tools available in the market. We set it up on our AWS account and had complete ownership and control over the event data. Events included classroom attendance data, assignments completed, assigned, courses taken up etc.
What do you dislike about the product?
It is a tool coming from a startup and thus it is bound to have limitations when you are looking at it from an enterprise business problem point of view. There are things that are part of our project that we can't accomplish through SA and have to look elsewhere but it is an honest and a well attempted tool with amazing potential and scale.
What problems is the product solving and how is that benefiting you?
We integrated google analytics with Snowplow analytics and tried to duplicate the results in SA UI to see few things like - how they filtered out the dupe entries, parsing end to end data from an internal web based platform.
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I had no idea what to do with my data until Snowplow
What do you like best about the product?
I loved that they showed me ways to use my data that I never would have thought of.
What do you dislike about the product?
The learning curve is a bit steep, but they are patient.
What problems is the product solving and how is that benefiting you?
I had so much data from all the shows and venues and they made me realize how many different ways I could use it.
Recommendations to others considering the product:
It's worth is to explore data that you didn't think you even had a use for.
Easy Maintenance of Data
What do you like best about the product?
I really like the comprehensive tracking ability which I get with Snowplow pipeline. The Snowplow features automatically track the install and crash events and enable me to get started with mobile tracking quickly
What do you dislike about the product?
I felt that it is priced a bit on higher side. The basic version is priced 1500$/month and it doesn't consist of real time pipeline. And if you want to have a real time pipeline of data then you have to upgrade to an even pricer account
What problems is the product solving and how is that benefiting you?
We are working with a client on healthcare products. Since we track the prescription data which we receive from various stakeholders it is very essential to have a complete infrastructure to support the data points coming into the system from various avenues. Snowplow analytics helps us in collecting. validating and repairing that data
Recommendations to others considering the product:
I would suggest you go ahead and use this product. I believe you should first go with the basic version of this which costs around 1500$. At the beginning of the projects, even the basic version is sufficient
Snowplow as user tracking component
What do you like best about the product?
I've used Snowplows trackers in a few projects and really liked it. Mostly used the Javascript tracker.
What do you dislike about the product?
Customers sometimes view Snowplow as only through the components they provide when we at Solita are also capable of creating e.g. collectors with different languages and tools. I would be great if Snowplow could offer this FAQ type of thing for re-assuring that there are also other valid ways to use Snowplow OS components.
What problems is the product solving and how is that benefiting you?
Fast development time and a generally nice fit to companies existing solutions e.g. Tag Manager
Powerful data collection
What do you like best about the product?
Flexible and well-developed tracking. Strong open source base
What do you dislike about the product?
Takes a fair amount of initial configuration, and may be worth it depending on your needs
What problems is the product solving and how is that benefiting you?
Scalable cross-platform tracking to enable analysis and personalization
A great product to help you with user event collection and tracking
What do you like best about the product?
- Access to data in real time
- It's an open platform
- Snowplow as a company is great to work with
- It's an open platform
- Snowplow as a company is great to work with
What do you dislike about the product?
- You need to work on creating the reporting layer. It's understandable but it still puts ownership onto the team using it.
What problems is the product solving and how is that benefiting you?
- User analytics
- Experimentation
- ML-based products such as recommender systems.
- Experimentation
- ML-based products such as recommender systems.
Recommendations to others considering the product:
- Engage with Snowplow as a provider, they really know their product and the surrounding ecosystem really well.
Best event analytics platform
What do you like best about the product?
The scalability and full control of collected event data. As a Snowplow partner we enable our customers to gain full control of their data collection and store massive amounts of behavioral event data in their own data warehouse for further analysis. Unlike analytics platforms as GA(360) or Adobe Analytics, Snowplow is able to scale to the volume and variety of data with keeping the size and data strategies companies who work with Snowplow in mind.
What do you dislike about the product?
Snowplow can be complex in setup. It can be hard to make the right decisions for collector, enrichment, etc based on requirements.
What problems is the product solving and how is that benefiting you?
With implementing Snowplow we enable customers to work with comprehensive data, collected, transformed and stored in their own data platform like AWS. Using this rich data we help companies to answer all sorts of data challenges, from basic marketing intellegence to data science models
Up and running in hours
What do you like best about the product?
Great open source project for a streaming data pipeline. It only took a couple of hours to get running on Google Cloud Platform. A few more hours and we are setup with several trackers for webpages and ad units, including custom events.
There were public guides on how to setup the system and that made the process a lot easier than if we would have to follow just the documentation.
The system comes with some data enrichments and most of our needs were covered. With their API enrichment option we can also enrich the data from our internal API´s.
There were public guides on how to setup the system and that made the process a lot easier than if we would have to follow just the documentation.
The system comes with some data enrichments and most of our needs were covered. With their API enrichment option we can also enrich the data from our internal API´s.
What do you dislike about the product?
We have GDPR requirements and it does not look like we can have IP anonymization that triggers before events are dumped in storage. But this is being worked on according to some issues.
This is not your plug and play saas solution with rich UI and one-click installers. You need to get your hands dirty, but you alos
This is not your plug and play saas solution with rich UI and one-click installers. You need to get your hands dirty, but you alos
What problems is the product solving and how is that benefiting you?
We wanted to do custom event tracking of ad units and webpages and get a faster and more precise output of the data. This allow our clients to see their performance in near realtime and for us to run analysis across clients.
Recommendations to others considering the product:
Solid open source project that was easy to test, and that met our criteria.
A highly extensible event analytics platform you can trust
What do you like best about the product?
- High fidelity, comprehensive web tracking out of the box
- Create new types of events & enrichments to use (not forced into using GA's limited custom dimensions or messy schema-less JSONs of other platforms)
- Great documentation & community backing
- Own your data
- Able to retroactively apply business logic to data and reports
- Create new types of events & enrichments to use (not forced into using GA's limited custom dimensions or messy schema-less JSONs of other platforms)
- Great documentation & community backing
- Own your data
- Able to retroactively apply business logic to data and reports
What do you dislike about the product?
- Lack of well supported Google Ads integrations
- Slow release cycle on some enrichment data (e.g. custom referrers, user agents)
- Difficulty of working within Scala to customise the pipeline (no one in our organistaion knows Scala)
- Amazon EMR runner slow & expensive to start for batch processing flows
- Slow release cycle on some enrichment data (e.g. custom referrers, user agents)
- Difficulty of working within Scala to customise the pipeline (no one in our organistaion knows Scala)
- Amazon EMR runner slow & expensive to start for batch processing flows
What problems is the product solving and how is that benefiting you?
We help companies plan, build, run and analyse large experiments on their properties - Snowplow is a fundamental part of what we do.
Many testing companies limit themselves to tracking experiments in tools like Optimizely and constrict their analysis to what they track inside that tool. With Snowplow Analytics we've expanded our experiment metrics to optimize for highly bespoke things for our clients such as:
- Decreasing delivery distance for an ecommerce site
- Increasing the variety of fields and values interacted with on a financial institution's calculators
- Measuring site speed impacts of experiment variants on actual users
It also enables us to build and run personalisation experiments for clients which we wouldn't be able to easily build in other platforms (like GA):
- "This place is popular with 24 sales in the last day."
- "We noticed you left this product in your cart, return to checkout?"
Many testing companies limit themselves to tracking experiments in tools like Optimizely and constrict their analysis to what they track inside that tool. With Snowplow Analytics we've expanded our experiment metrics to optimize for highly bespoke things for our clients such as:
- Decreasing delivery distance for an ecommerce site
- Increasing the variety of fields and values interacted with on a financial institution's calculators
- Measuring site speed impacts of experiment variants on actual users
It also enables us to build and run personalisation experiments for clients which we wouldn't be able to easily build in other platforms (like GA):
- "This place is popular with 24 sales in the last day."
- "We noticed you left this product in your cart, return to checkout?"
Recommendations to others considering the product:
You'll need to have analysts familiar with SQL, R and Python to make the most of it.
Consider a good dashboarding tool like Superset to help non-technical stakeholders to make use of the data.
Keep Google Analytics around because agencies and even many internal users will be familiar with GA.
If you encounter errors or issues, you can most likely Google the answer or get a speedy response back from the community forums.
Consider a good dashboarding tool like Superset to help non-technical stakeholders to make use of the data.
Keep Google Analytics around because agencies and even many internal users will be familiar with GA.
If you encounter errors or issues, you can most likely Google the answer or get a speedy response back from the community forums.
Must have for scaling your product with confidence
What do you like best about the product?
Complete control over the data/pipeline and the ability to model the data in any way you see fit. The support team is fantastic, responsive, and knowledgeable.
What do you dislike about the product?
No true drawbacks. Moving from Segment or Mixpanel you might have to adjust to the structure in which event data is transmitted, but that's to be expected when transitioning to almost any analytics platform.
What problems is the product solving and how is that benefiting you?
Full funnel optimization, looking for user trends based on marketing/campaign/ad source, A/B test result validation. Also enhances the ability to help resolve customer support requests. Snowplow data is used in almost every product decision.
Recommendations to others considering the product:
Make sure to have a plan/convention when implementing any of the trackers. This will make your life much easier when you start to analyze the data in Redshift with your BI tool.
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