Level Up Your Business with Data
Make smarter decisions using your business data
We help SME brands becoming more profitable with support of data insights
MOAI Data Analytics
What we do?
Centralize Your Data: Integrate Shopify, App Store, Ads Platform, Email, Social Media and more.
Track What Matters: daily dashboards for CAC, ROAS, conversion, margin, product performance, etc
Clean & Organize: Build a clean, reliable data layer, no more spreadsheets.
Automate Reports: Get key insights daily, without lifting a finger.
Boost Campaigns: Identify which platform and campaigns are being more effective, avoid budget wasting
Why It Matters?
Proven ROI for Data-Driven Brands:
- McKinsey: Data-driven companies grow profits by 15–25%.
- Nucleus Research: Analytics deliver $13 ROI for every $1 invested.
- Shopify: Data-optimized campaigns increase revenue by 10–30%.
Who It’s For ?
SME E-commerce and SaaS/Mobile businesses ready to:
- Eliminate guesswork from decision-making, use data
- Improve ROAS and reduce wasted ad spend
- Retain more customers and increase AOV
- Want to be data-driven, but don’t want to hire a whole data team
Data-Driven?
Success Cases
New Data Architecture for a Mobile App Company (SAAS) struggling with manual reports
This SAAS Mobile app company was facing issues when needed data for growth, they were downloading the data manually from different platforms, then copying and paste into a big Excel file, and creating reports on it. The process to make the data updated was taking valuable hours from their data analysts.
We designed and built a new data architecture helping automate data ingestion, modeling and data visualization.
Using a Snowflake data warehouse we started to extract the data as fast as possible using Fivetran, then implemented DBT for data modeling using 3 layers models (raw, stage and mart) including quality checks. Finally the data was available in Snowflake ready for the data analyst design dashboards in Looker, with data being refreshed in hourly basis. In 1 months this company could already take strategic decisions using their data insights. In the following months we were replacing Fivetran by Airflow to reduce costs and integrating new data sources.
A Data-Driven E-commerce Growth Story
A growing women fashion e-commerce brand, became a benchmark in data-driven decision-making by building a modern analytics stack. They centralized data from Shopify, Facebook Ads, Google Ads, Klaviyo, TikTok, GA, data extracted using Stitch, then modeled it in dbt Cloud and visualized insights through Looker dashboards tailored for marketing, finance, and operations.
By migrating from Amazon Redshift to Google BigQuery, they gained better scalability, speed, and cost efficiency.
This enabled updated tracking of key KPIs like CAC, ROAS, and profit margins. As a result, the team optimized ad spend, improved influencer ROI, boosted email performance, and made faster, smarter strategic decisions—positioning as a true data-first e-commerce brand.
Smarter Mobility with Data Analytics
A fast-growing scooter sharing startup in San Francisco transformed operations and product strategy through data.
Using Google BigQuery, key business metrics were defined and tracked to align with company OKRs. Mode Analytics dashboards delivered real-time insights to Growth, Product, and Operations teams.
Geo-spatial analysis in Python and Jupyter Notebooks revealed fleet movement patterns and supported smarter vehicle distribution. A/B testing guided product feature adoption, while user behavior was closely monitored through Amplitude.
The result: faster decisions, optimized operations, and a data-driven edge in the competitive urban mobility space..
How do we work?
Data Driven Full Conversion
The Data Driven Full Conversion plan would be the complete project, from defining the company's goals, mapping data sources, defining the architecture, implementing data extraction, transformation, and data visualization in reports and dashboards, all the way to assisting the client in analyzing the results.
Data Engineering Only
In the Data Engineering Only plan, is similar the data driven full conversion, but without the Data Visualization implementation. The data analysis would be handled by the customer which already has a Data Analyst on his team.
Methodology
2 Steps Approach
Mostly of the Data Engineering teams spend a lot of time working on backend tasks and this can take months until the data is ready to show results that will impact the business.
To get the data as fast as possible we build the data extraction in 2 steps:
1) First stage the data extraction is made using 3rd party SAAS tools as Stitch, Fivetran
2) After the project is already showing results we replace the SAAS tools with custom data extraction using tools like Airflow, Prefect, reducing costs on long term.
Our Prices
Standard Data Analytics starting at $ 5,000 / month
Our initial offer can cover 4 standard data sources (eg.: Shopify, FB Ads, TikTok Ads, Google Ads, etc), data modeling and 1 main dashboard covering 5 standard metrics like: CAC, AOV, Conversion Rate, Margin, ROAS)
Custom Data Engineering starting at $8,000 / month
80 hours of expertise in Data Engineering and Analytics to help your business build custom data integrations and get data insights that are exclusive aligned to your goals
Add a footnote if this applies to your business
About US
About Us
Moai Data is a technology and data services company focused on helping companies become data-driven, assisting in making more assertive strategic decisions based on data.
Our mission is to empower your business with the tools and insights needed to make smarter, data-informed strategic decisions.
At Moai Data, we turn complex data into clear insight — much like archaeologists decoding the mysteries of the Moai statues on Easter Island. The Moais stood in silence for centuries, their meaning hidden in fragments. It was through evidence, context, and analysis that researchers began to understand their story.
We do the same with data: uncovering patterns, connecting dots, and transforming uncertainty into action.
Our Team
With over a decade of experience in data projects, our team is a powerhouse of diverse international expertise
Our founder and data architect, Arthur Duarte, has over 20 years of experience working with Information Technology, and 12 yeras focused on data analytics, supporting several companies internationally (Latam and USA), in different markets and roles.
Moai Data has a network of specialized professionals to work on more specific tasks, according to the client's needs, certified in different technologies such as Snowflake, Google Cloud, PowerBI, DBT, etc.
Contact us
Need help to understand and make better use of your business data?
Send us a message and let's schedule an online meeting
Moai Data
