3 x
Faster
data
collection
3 x
Faster
data
collection
2-3
FTEs
(full-time equivalents)
saved
1
integration tool
for ELT & reverse ETL
workloads
Ringside.ai, provider of a marketing data platform that specializes in attribution, knew from the beginning that they wanted to outsource the building and maintenance of data pipelines, so that their developers could focus freely on data modelling and machine learning—the processes that really drive the value of their data product.
“Dataddo, as a partner, has made the speed at which we've been able to build our company so much faster. If we were to consider replacing Dataddo—which is never going to happen—we would already need 2-3 additional developers. And that number will only increase as we bring in new data sources.”
Russell McAthy
CEO & Co-Founder
Ringside Data provides a marketing data platform that specializes in analytics and attribution. The platform combines Ringside's own granular web tracking data with data from online ad platforms, CRMs, and other services to help their clients understand what marketing activity is truly working; then, it applies machine learning to generate conversion predictions and other actionable insights.
This case study shows how Ringside.ai partners with Dataddo to speed the development of their marketing data platform and deliver better value to clients.
For Ringside, saving headcount in the developer space was a priority from day one. They needed to focus on developing the core analytics functionality of their data product, and didn't want to waste resources building and maintaining data pipelines between online services and their data warehouse, Google BigQuery.
Ringside wanted to pull raw data from online marketing services and transform it all in BigQuery according to custom schema, so they needed to find a data pipeline vendor that could reliably support extract, load, transform (ELT) workloads .
They first tried partnering with another ELT vendor, but ran into a problem when extracting Microsoft Ads data. Microsoft's API requires users to extract more rows than they need to get the data points they want, and since the vendor charged by rows extracted, costs became hard to scale once Ringside started requiring more data points from Microsoft Ads.
Ringside decided to switch to Dataddo, initially for its scalable, unit-based pricing .
Dataddo solved Ringside's Microsoft Ads pricing problem. But, once the two companies started working more closely together, Ringside saw that there was more to Dataddo than just a different pricing model.
Ringside does marketing analytics for clients all over the world, and sometimes needs to connect to niche services that data integration companies don't typically have pre-built connectors for. Whenever Ringside requests data connections to new services , Dataddo's responsive Solutions Team reliably delivers the connections within only a few weeks, often using Dataddo's universal JSON connector.
Ringside is also constantly looking for new ways to use data to deliver value to clients, and one of these ways is to use Dataddo to push data from BigQuery into client marketing platforms (reverse ETL). Among other things, this enables Ringside to enrich the algorithms of Google Ads and improve segmenting in Klaviyo, helping Ringside customers more accurately target prospects.
“We've got a brand that has completely changed their budget process because they now have their RFM [recency, frequency, monetary value] model in Klaviyo. And this is very similar to what we've been able to do with brands in Google Ads—we push a cleaner, better dataset that enables our customers to go after a more optimized audience,“ says Russell McAthy , Ringside's CEO and Co-Founder.
Ringside further appreciates Dataddo for its multi-account extraction feature , which enables them to connect multiple client social media accounts to a single data pipeline. This makes it much easier to manage client social media data.
“It's the people and the appetite for success that's been a really big thing for us. In combination with the pricing model, Dataddo's willingness to accommodate new connection scenarios gives us the scalability we need.”
Russell McAthy
CEO & Co-Founder
Ringside Data has grown significantly over the last 4-5 years, and Dataddo has been a big part of that growth.
”Dataddo, as a partner, has made the speed at which we've been able to build our company so much faster. If we were to consider replacing Dataddo—which is never going to happen—we would already need 2-3 additional developers. And that number will only increas as we bring in new data sources,” says McAthy.
Ringside plans to work with Dataddo to build reverse ETL connections to all the other marketing platforms their clients use, to enrich what the platforms know about the customer base they are talking to.
”Knowing that Dataddo can build any new connections we need gives us a lot of confidence when talking to our clients and prospects.”
Click below to start a free trial or book a demo with one of our experts.
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”
Andrew Hart
Chief Operations Officer
Sat 7
“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo opens up gates and takes away the hurdles of working with data.”
Laurent Partouche
CPO
FoodChéri & Seazon
“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”
Greg Senior
Business Operations Manager
Farm Focus
“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”