While you’re waiting for StitchData to load your data, you can install Postico and insert your database credentials. This process should take thirty minutes to an hour. Next, add your Shopify account by simply clicking “Add Integration,” selecting Shopify, and installing the StitchData app.Īfter you’ve completed these steps, StitchData will begin extracting your Shopify data and loading it into your Postgres DB. Another option is Fivetran, but what I've seen, it'll run you $500-800 for a similar set up–although a great solution as you scale.Īfter you’ve created your StitchData account, click “Destination” and enter your new Postgres Database credentials (you can leave the encryption type to None). Unfortunately, they've removed their free tier in early 2021, so it's going to cost roughly $100-$180 a month if you're doing less than $10mm in annual revenue (it's based on row volume, so of course depends on your AOV). There are numerous ETL options to choose from, but we prefer StitchData. ETL stands for extract, transform, and load three database functions that, when combined into one solution, extract data from one database and push it to another. We’ll use an ETL service to pull your order data from your Shopify account to your newly created Postgres database. Extracting Data from Shopify to Your Postgres Database Select “Settings,” and click “View Credentials.” You’ll need these in the steps below.Ģ. Once your app is created, click “Resources.” Then, in the “Add-Ons,” search for “Postgres.” Heroku’s free plan unfortunately doesn’t offer enough rows to fully extract your Shopify instance, so you’ll need to select Hobby Basic ($9/month).Īfter you’ve provisioned your database, select Heroku Postgres in your add-ons list to open your dashboard. After you’ve created an account, you’ll be presented with the “Create New App” screen-simply follow the prompts to create an app. With Heroku’s database-as-a-service, creating a Postgres database only takes a few minutes, even for non-technical people.įirst, you’ll need to create a Heroku account if you don’t already have one (you can select any language in the onboarding flow). You don’t need a developer to create a Postgres database instance. It’s like a little employee hiding inside a computer, handing you an updated file every time you ask for it. I like to envision a database as a self-updating Excel file. Within a database, you have tables, which are similar in theory to the columns and rows of Excel. So, what is a database? The easiest way to conceptualize a database is to compare it to what you already know: an Excel spreadsheet. The data is already cleaned and ready to use, so you can spend those thirty minutes of your day on something smarter-like analysis, or lunch.Īs a digital marketer, you may or not be overly familiar with databases, as you’re used to using Excel or Google Sheets for most, if not all, of your analysis. No more filtering and slicing and dicing. Now imagine, instead of exporting your Shopify order data every time you want to run a simple report, that order data is automatically updated to your Excel spreadsheet, or, in our case, a database. The drill usually involves exporting your Shopify orders data, running a few vlookups and pivot tables, and possibly some manual entry. Let’s say you have a report building process in Excel that takes thirty minutes every time you want to update it. This post will walk you through all the necessary steps to get you up and running. But, don’t fret: setting up a database with Shopify is straightforward. The majority of direct-to-consumer brands don’t have data engineers in-house, so as a brand owner or digital marketer, getting a database up and running can feel like a monumental task. After a few searches, I realized there was no central resource/how-to for ecommerce analysis in Postgres (short for PostgreSQL), especially for Shopify. For anyone who’s spent years in ’s a dream. At Fairing, we use Postgres as our core database.
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