Adverity
AdverityReviews from AWS customer
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Great software for analysing data in a flexible way
What do you like best about the product?
I like that this platform allows a lot of flexibility as well as great support from the tech team.
What do you dislike about the product?
Nothing really. It might be daunting for someone new to the platform, but if you spend a few hours per week using it you will become an expert very fast!
What problems is the product solving and how is that benefiting you?
Mapping different metrics from various APIs, creating more digestible naming for the clients etc.
Recommendations to others considering the product:
Spend as much time as you can during the initial rollout and it will be very easy for you to use the product in the future! Use the great support they provide you too
Adverity meets all our reporting needs, with great one to one support.
What do you like best about the product?
Adverity's dedicated onboarding team really helped us get to grips with the platform. Once we were onboarded, our Account Manager Robbie has ensured that we are kept up to date on updates to the platform, and response times are fast to any of our queries. Thanks so much for the support.
What do you dislike about the product?
We are currently using Adverity to funnel data through to GDS, ideally, we would like to use Adverity's native reporting, but current costs are beyond our budgets.
What problems is the product solving and how is that benefiting you?
We are looking to integrate Xing as a data stream, and Adverity is helping us solve this which is great for us to feedback to our clients.
Innovative and Dependable
What do you like best about the product?
We're a small but mighty analytics team within an already mature full-service marketing firm. We needed to provide at-scale analytics solutions while remaining agile, and scalable. We used other services before switching to Adverity, but many other products were either far too limiting for our team in what they allowed us to do (clearly built for non-technical users) or would have required a full-scale IT department to implement. With Adverity we got the best of both worlds. There's nothing we *can't* do with Adverity that we could do with a more code-based solution, but we have the flexibility and support of an enterprise service. Add to that the fact that whenever we have a business need Adverity's response is always to immediately start proposing solutions. I've never once been told "we can't do that" or "that's outside the scope of our platform's capabilities". Sometimes there may not immediately be a quick fix, but there's always a conversation about how to extend the platform's functionality to fit our use case. Finally, the team support from Adverity is unmatched. At every point along the way, their team has been superior. At first, I thought we were just lucky, but I've come to realize that superior service is something we can expect from Adverity. Response times are fast, the accounts team is proactive, and implementation/onboarding is incredibly knowledgeable. They're experts in both industry and analytics.
What do you dislike about the product?
The platform's user experience needs some work. Oftentimes it's not intuitive how to find what you're looking for. You pick up on it pretty quickly, but it's confusing at the beginning. I also would love more ability to templatize. Right now if we have a data connection for one client we have to recreate it to get the same data from another client. I'd love to see the platform provide more administrative management tools. All-in-all though they've already been adding these kinds of features. Curious to see the management side of the platform continue to grow.
What problems is the product solving and how is that benefiting you?
We work with a LOT of data for such a small team. We have many clients and trying to manually manage their data was untenable. Adverity allows us to collect data easily. We are using a separate reporting (tableau) and data warehousing (google big query) tool. Adverity has made onboarding those other tools straightforward. Adverity also allows us to activate our existing data to drive new insights. We're not just delivering baseline reporting, we have time to be strategic and innovative.
Customer service is flexible to needs
What do you like best about the product?
Overall, I liked that the platform was made for marketers and their sales demonstrations were good.
Customer service has been very flexible towards our needs for local grant approvals.
Customer service has been very flexible towards our needs for local grant approvals.
What do you dislike about the product?
Being a new company there were some bugs but ultimately they were able to address the bugs quite quickly and we were able to continue with our service as planned.
What problems is the product solving and how is that benefiting you?
Having issues with their tools simply not being as flexible as they've initially sold. Their Present/Reporting tool which looks fantastic on the website is extremely difficult to produce compared to a free tool like Data Studio.
Recommendations to others considering the product:
Revise the terms of the agreement to ensure you have the flexibility to change based on your needs or if Adverity does not deliver to the ever-evolving industry standards.
Do not sign any long-term deal with them as I have made that mistake. I signed on for 24-months and in that period, they've fallen very far behind Google Data Studio's latest updates.
Their enrich tool will still require you to host your data on BigQuery because Adverity's hosting is extremely buggy and at times limited.
Do not sign any long-term deal with them as I have made that mistake. I signed on for 24-months and in that period, they've fallen very far behind Google Data Studio's latest updates.
Their enrich tool will still require you to host your data on BigQuery because Adverity's hosting is extremely buggy and at times limited.
Democratizing data for marketers - A great low-no-code ETL tool
What do you like best about the product?
Allows my team of marketers who are not data engineers to extract and transform data without having to learn python (although it's helpful). Supermetrics and similar solutions pull the data, but there is a ton of data strategy around schema naming conventions and work to manipulate the data that still needs to be done. Adverity lets us standardize our data strategy and schema across our clients and accounts, and it saves us a ton of time and human error versus doing this in Google Sheets, Excel, or directly in a visualization engine like Google Data Studio.
What do you dislike about the product?
Limited governance - When we set up a workspace or data stream, I'd like to be able to limit the accounts available so it doesn't accidentally pull from multiple. Also, it would be great to have Google SSO available out of the box.
What problems is the product solving and how is that benefiting you?
We primarily use Adverity to build marketing databases for our clients (we are a B2B marketing consultagency). There are three primary use cases:
1. Audit marketing and advertising platforms - We have data stream templates created that we pull into visualization templates which reduces the time needed to audit an account when we're starting to work with a new client, and it improves the visualization of findings. For example, we use a tree map to visualize the structure of a LinkedIn Ads account and see how it's organized into Campaign Groups, Campaigns, and Ads, and see where they are spending the most and getting the best performance.
2. QA - We set up specific data streams to pull settings and compare actual values against expected to quickly and easily identify discrepancies. For example, if a campaign on Google Ads is supposed to be targeting EMEA but 30% of the budget is being delivered in APAC, we can see that immediately and know that the location targeting settings may be incorrect.
3. Performance Reporting - We again have data stream templates set up to pull standard data for marketing performance reporting. We also use enrichments to create custom dimensions to categorize the data according to the client's business. For example, some clients call geographic regions like APAC "theaters" and some call them "territories" or "regions." Some call it "AMS" and some call it "AMER". We can easily use enrichments to reflect their taxonomy and make the reporting custom to them.
Additionally, we're working with our amazing account manager to create custom budget burn and workload forecasting by joining our time tracking system with our project management tool.
1. Audit marketing and advertising platforms - We have data stream templates created that we pull into visualization templates which reduces the time needed to audit an account when we're starting to work with a new client, and it improves the visualization of findings. For example, we use a tree map to visualize the structure of a LinkedIn Ads account and see how it's organized into Campaign Groups, Campaigns, and Ads, and see where they are spending the most and getting the best performance.
2. QA - We set up specific data streams to pull settings and compare actual values against expected to quickly and easily identify discrepancies. For example, if a campaign on Google Ads is supposed to be targeting EMEA but 30% of the budget is being delivered in APAC, we can see that immediately and know that the location targeting settings may be incorrect.
3. Performance Reporting - We again have data stream templates set up to pull standard data for marketing performance reporting. We also use enrichments to create custom dimensions to categorize the data according to the client's business. For example, some clients call geographic regions like APAC "theaters" and some call them "territories" or "regions." Some call it "AMS" and some call it "AMER". We can easily use enrichments to reflect their taxonomy and make the reporting custom to them.
Additionally, we're working with our amazing account manager to create custom budget burn and workload forecasting by joining our time tracking system with our project management tool.
Recommendations to others considering the product:
If you've been struggling with Supermetrics, direct connections to APIs, or you just don't want to hire a data engineer, this is a great tool.
Great tool to automate ETL pipelines
What do you like best about the product?
Adverity has a very easy to use UI panel in which setting up connections, datastreams, and destinations take only a few minutes. It has a very broad range of connectors and as of now, it has all connectors I need. It also supports many destinations, including Google Cloud Storage and BigQuery. The monthly calls with the account manager makes it more customer focused and the ability to talk about problems, feature requests or any other topics regarding adverity creates a feeling of being cared for.
What do you dislike about the product?
Documentation and adverity management API is definitely something that should be improved. Documentation is missing many available options and in case of the API it is also missing some endpoints. API is missing many functionalities of the UI panel, for example ability to fetch lifetime of a campaign.
What problems is the product solving and how is that benefiting you?
By having so many connectors and easy to use UI, adverity allows us to save time when building ETL pipelines. Because of saved time and therefore costs, we can connect with smaller data providers we probably wouldn't connect with if it wasn't with adverity.
Great ETL Platform
What do you like best about the product?
Overall great platform and support team!
What do you dislike about the product?
Not much to dislike, it works great, fast and useful
What problems is the product solving and how is that benefiting you?
To extract data from multiple sources and organize in the same database - Major processes speed improvement
Automation of the reporting process
What do you like best about the product?
- Uncomplicated setup of datastreams and connectors
- implementation of external visualization tools like Google Data Studio
- outstanding support
- constant development on new features
- future-proof solution for our company
- implementation of external visualization tools like Google Data Studio
- outstanding support
- constant development on new features
- future-proof solution for our company
What do you dislike about the product?
- Enrichment setup is quite hard for someone who's not familiar with basic coding
- in the beginning, some features of the Facebook connector weren't working properly
- in the beginning, some features of the Facebook connector weren't working properly
What problems is the product solving and how is that benefiting you?
- Automation of the reporting processes
- Visualizing data in third-party platforms
- Combining and harmonizing data from several customers to improve business decisions
- Visualizing data in third-party platforms
- Combining and harmonizing data from several customers to improve business decisions
Recommendations to others considering the product:
Get in contact with the Adverity team.
They will give you a detailed demo and find the right solution for your business model.
They will give you a detailed demo and find the right solution for your business model.
A few clicks and data is starting to flow
What do you like best about the product?
The platform offers all the necessary functions, from data integration and storage options to visualization.
We currently only use data integration, enrichment and transfer in our data lake. We are currently working on various use cases to use Adverity's other functions, such as dashboards and AI, for our customers.
I have already worked with some integration tools and I am happy to have it.
We currently only use data integration, enrichment and transfer in our data lake. We are currently working on various use cases to use Adverity's other functions, such as dashboards and AI, for our customers.
I have already worked with some integration tools and I am happy to have it.
What do you dislike about the product?
Currently, there is really nothing that I would really rate as bad or negative.
What problems is the product solving and how is that benefiting you?
We integrate data from our various marketing tools connected via API. In my previous companies, API management was always a problem because interfaces change or are complex to maintain. Here we are relieved of this work and there are always updates to connectors or completely new connectors are added. We store all data in our Data Platform with regular updates, which is so easy to integrate. Simply great!
Extremely robust system with new features coming regularly
What do you like best about the product?
The best part about Adverity is the ability to blend different data sources in a very simple manner. The simplicity belies the overall power of the platform, however, with the ability to plug directly into cloud databases, data sources, and custom APIs with just a little more knowledge of the platform.
What do you dislike about the product?
Adverity has many of the same pitfalls that come with using high-end software that hasn't been around very long - many of the more advanced features have sparse to no documentation and require you to do a bit of manual testing and experimenting to get everything running exactly how you want.
What problems is the product solving and how is that benefiting you?
Cross-channel reporting and analysis are the main answer here. We've been able to build custom dashboards that combine information in bespoke visualizations for our clients, something that has made them extremely grateful.
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