The Ecommerce Data Pipeline (EDP)

Your Shopify store's new best friend.

How does the SDP work ?

This BigQuery data pipeline transforms your raw data into immediately-usable reporting.

01

Raw data

We pull data from Shopify, paid media, email platforms and Google Analytics into your BigQuery database

03

Data viz

We build reports in your preferred data viz platform - Data Studio, Looker or Tableau

02

Data models

We write a set of SQL transformations, which churn your raw data into rich insights

  • 01

    Raw data

    We pull data from Shopify, paid media, email platforms and Google Analytics into your BigQuery database

  • 02

    Data models

    We write a set of SQL transformations, which churn your raw data into rich insights

  • 03

    Data visualization

    We build reports in your preferred data viz platform - Data Studio, Looker or Tableau

Ecommerce-specific “Recipes”

Each "Recipe" (aka workflow) within your pipeline answers a specific set of questions. Most Ecommerce data pipelines start with classics like:

ECOM

Buyer Segmentation

  • What are our buyer personas?
  • How do those buyers spend over their lifetime?
  • What marketing channels + offers lead buyers to return?

ECOM

Basket Analysis

  • Which products are purchased together in the same order?
  • What about over a buyer's lifetime?
  • How can products be positioned together for maximum AOV?

ECOM

Sales Forecasting

  • What are potential revenue + margin scenarios?
  • How will turning marketing channels up or down impact these scenarios?
  • How will production need to scale to meet demand?

Why use the Ecommerce Data Pipeline?

How much do data pipelines cost?

A pipeline is done-for-you data aggregation and reporting service. Before you request a full quote, here’s what an average fully baked data pipeline will shake out to.

  • We build data pipeline "recipes" in 3-week development sprints. Each sprint costs $5,000.
  • Most clients will build approximately 4-5 recipes as part of a pipeline, for a total development cost of ~$20,000.
  • After development is complete, CIFL can maintain your pipeline + offer analysis advisory for $1k-2k per month, depending on needs.

Our pipeline service is significantly less than the cost of the software stack + data analyst to do this internally.

DATA PIPELINE
  • Dedicated consultant
  • Pipeline creation
  • Recipe build outs
  • Ongoing support
INCLUDED

This data pipeline is NOT for you if...

  • You love manually + tediously wrangling your data in spreadsheets
  • You love not knowing who your best customers are, and how they found you
  • You love making marketing decisions by the seat of your pants