Founded in 2008, Good Apple is a media planning and buying company that eliminates big agency bureaucracy with an agile, adaptable team of industry pros who deliver results for a diverse client list.

This includes companies such as Dollar General, Takeda Pharmaceutical Company, and the non-profit Smile Train. Good Apple generates over $100M in annual billings, and has almost doubled year-over-year in growth rate.

“A reporting process that once required back-and-forth between different teams is now executed ad-hoc by team leads in minutes, cutting time to execution in half. The democratization of all these different data sources side-by-side ensures that Rivery is the one stop for all your data needs.” – Jean Huang, Senior Data Analyst at Good Apple

The Challenge

By 2015, Good Apple was expanding so fast, the company was experiencing technological growing pains – one client report took over 72 hours to create every week. But this report was just the tip of the iceberg.

Good Apple was also manually building data connectors to aggregate client data sources, a process that wasted time and resources.

The process was also not remotely scalable. Good Apple needed a data integration platform to harness these growth opportunities.


The Solution

Through diligent market research, Good Apple finally landed on Rivery.

Rivery checked off several must-haves for Good Apple, including: data automation using analysts (not engineers), easy access to accurate data for all team members, and datasets capable of answering wide-ranging questions, among other considerations. Rivery also offered a pricing plan that only charged for data usage, period.

Good Apple combined Rivery with Snowflake and Looker to form a killer tech stack to attack growth opportunities. Snowflake is a cloud data warehouse that delivers immediate elasticity, secure data sharing, and per-second pricing, across multiple clouds.

Looker is an enterprise platform for business intelligence, data applications, and embedded analytics. Good Apple turned the combo of Rivery, Snowflake, and Looker into a branded data integration and management platform called Crisp™.

“Once we combined Rivery, Snowflake, and Looker into Crisp™, the tech stack became the foundation of our data operation,” said Mark Sturino, Director of Analytics at Good Apple.

We tried various ETL solutions with Looker and Snowflake, but only Rivery possessed the scalability, technical horsepower, and ease-of-use to really maximize the flexibility of Snowflake and the analytical depth of Looker. These three platforms play together like a jazz trio.”

The Outcome

At first, Good Apple focused on eliminating the costly, time-consuming process of building API connectors. Rivery came with 150+ pre-built data connectors right out of the box, and each connector only required a few clicks to set up.

Rivery’s R&D team also built custom connectors for Good Apple on an as-needed basis. Good Apple analysts didn’t have to write a single line of code.

As an ELT platform, Rivery loaded data into Snowflake faster than the previous ETL configuration. Rivery also ingested a higher volume of data, including custom imports.

The increase in data volume, speed, and sources helped immensely with data importation. This offered a competitive edge to Good Apple’s clients, many of whom operated in fast-paced markets that demanded incisive, near-instant results.

But the biggest opportunity was overhauling Good Apple’s reporting system. Prior to Rivery, Good Apple relied on a clunky, back-end reporting system that produced friction both internally and externally. With Rivery, Good Apple created bespoke reports without requiring any back-end modifications whatsoever.

Rivery’s Logic Rivers automatically extracted and transformed client data inside Snowflake. The transformed data was funneled directly into Looker reports.

This automated the entire reporting process. Now any team member can directly customize reporting for individual clients without back-end tinkering.

When data integration became a central impediment, Good Apple didn’t take its growth for granted. The company acted quickly to find the right technology solution to capitalize. Now Rivery is not just a key part of Good Apple’s tech stack. It is, along with Snowflake and Looker, an engine of growth, a strategic partner.

Scaling up is one of the most important endeavors a company can undertake. What happens in that timeframe will determine the fortunes of a business 6 months, 2 years, 5 years down the line. For growing businesses, Rivery offers a data integration platform not just for expanding today, but for thriving tomorrow.

For a more in-depth view at the Good Apple Case Study, download the full version for free below!

“The learning curve while using rivery is incredibly flat. Within a few hours you can build a production - ready robust and scalable ETL system.”
Morli D., Head of Product
“We solved some of our most complex data challenges with Rivery. The ability to create a unified data pipeline that is always up-to-date through predefined logic rivers has been a game changer for the team. It is extremely easy to use compared to other tools that we’ve used in the past. ”
Tali S., BI & Analytics Manager
“Rivery gives us the confidence to know that any time we need data, wherever it might be on the internet, we are always able to pull it, use it, and make sense of it.”
Tomer C., Director of R&D

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