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Mohammad Ashraf

Engagement Lead

Choosing Your Attribution Model

Essential Requirements for Constructing an Attribution Model

Saras Analytics builds bespoke data solutions for eCommerce brands. Their products Daton and Pulse enable brands to build a single source of truth for marketing, operations and finance teams across DTC, Amazon, and retail channels.

In This Article:

Building an effective attribution model is not easy. There are prerequisites and data foundations in place that are needed for your brand to successfully build one out. Here, we’ll take you through what is needed and how best to do it.

The prerequisites to building an attribution model

Centralizing your data

At the core of it all, brands must first centralize data from various sources into a single, self-owned data warehouse (DWH). This is ideally done using platforms like Google Cloud Platform (GCP), Snowflake, or Microsoft Azure. GCP is generally recommended for brands due to its flexibility and cost-effectiveness.

By centralizing your data, it allows your brand to bring various data sources together. This would enable better data integration and make it easier to gain insights from a comprehensive dataset.

Using an ETL tool to automate data centralization

From there, brands can use an ecommerce focused Extract, Transform, and Load (ETL) tool like Daton to automatically replicate data to the DWH. This can be done on a daily basis from Shopify, GA4, Fairing, and more.

Such tools can tap into the APIs of almost any e-commerce related platform and reliably replicate the data without any manual effort. This streamlines the process, making it less labor-intensive, while still ensuring that your database is up to date.

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