Without data warehousing, it’s almost impossible to calculate and contextualize retention metrics like LTV, retention, and customer and revenue churn. You’ll also need it if you want to take your A/B testing beyond the basics and analyze the long-term impact of your experiments.
Data warehouse lets you get a clear picture of your user journey and track all its touch points. You’ll also be able to develop your own CDP or Customer Data Platform. With CDP you’ll be able to track all actions done by a single user, their LTV, and personalize your messaging and website.
Speero will build your data warehouse in compliance with all relevant legislation and protocols (GDPR, HIPAA, etc) and take all required security measures to ensure your data is safe.
Every tool has its own attribution model and they generate data that doesn't add up. But with a data warehouse, you can break data silos and take all data into a Single Source of Truth. Inside SSoT, you’ll be able to measure where’s your marketing $$$ going and the ROI of each channel. You’ll also be able to answer complex business questions that require combining data from multiple sources, like inventory-shipping-finance relationships.
Why bother with data ownership and vendor lock-in when you can have your own data warehouse? Unlike with analytics tools, you’ll get also get access to raw, unsampled data.
We have a rather unique experience with data warehousing. Or rather, we have a unique experience with data warehousing AND web analytics AND A/B testing, AND data visualization/reporting. You can’t typically get all four of these from the same shop.
Why getting everything from a single shop is better? You save on time, money, and communication. A single shop ensures you get all necessary/relevant data points. A generic data shop that knows little about A/B testing can’t foresee some of the nuances that we work with on a daily basis.
Another benefit worth mentioning is that we can deliver fast. We've done full data warehouse setups in 1-2 months. The industry level is setting up a data warehouse in 4-8 months, sometimes even more.
A data warehouse is a central component of modern data infrastructure. It combines data from multiple sources, creating a single source of truth that you can use for reporting, machine learning, marketing automation, and other use cases.
Most companies doing an online business can benefit from data warehouse abilities, but it’s exceptionally great for brands using more than one platform for marketing, ads, social media, A/B testing, analytics, finance, shipping, inventory, or content management.
This includes most E-commerce, SaaS, and Lead Gen websites. Once it’s configured, data warehouses don’t typically need lots of maintenance. Reporting is easily achieved through easy-to-use Business Intelligence tools like Looker Studio.
Medium to large enterprises. Again, depends on the number of data sources and more complex needs.
Any industry if it collects data from multiple sources and needs to track deeper metrics like retention, LTV, marketing bleed, or channel ROI.
Initial setup ranges from $2k-$25k. Depends on the number of data sources and whether those require custom development or not. 3rd party tools costs range from $125-$5k/mo. Depending on data volumes, number of sources, and usage
You’ll need lots of time, skills, and resources to build your own data warehouse. Everyone has multiple priorities, so this will take more time than you plan.
Once you build and implement it, you’ll need to maintain it. This requires in-house database administrators or even DevOps people.