Repeat purchasers in Salesforce Marketing Cloud
Why use predictions for repeat purchasers?
Knowing which of your customers is most likely to buy again is key to keeping your customers on board and engaged to drive revenue.
The most effective way to predict likelihood to buy again is with machine learning. With machine learning, you can ingest your customer lists, predict their likelihood to buy again based on the historical data of similar shoppers, and plug your highest-scoring customers right back into your stack, no PhD required. With your repeat purchasers in your stack, you're ready to kick off a campaign to bring them closer to their next purchase.
Faraday makes predicting repeat purchasers among your customers intuitive & easy, and delivering them to any channel in your stack a breeze.
With repeat purchaser predictions in Salesforce Marketing Cloud, you'll give your team the ability to focus on the customers that are most likely to come back for more.
Follow the steps below to get your repeat purchasers predictions into your Salesforce Marketing Cloud account.
In this guide, we'll show you how to:
- Organize your customer data into cohorts
- Describe predictive models for repeat purchasers with outcomes
- Deploy repeat purchasers predictions to Salesforce Marketing Cloud using Pipelines
Getting started with repeat purchasers in Salesforce Marketing Cloud
Make sure you have a Faraday account (signup is free!) and that it's not in test mode.
Requirements for this repeat purchasers recipe
You'll need the following cohorts available in your Faraday account:
- A cohort representing your customers — or create one first
- A cohort representing your repeat purchasers — or create one first
Building predictions for repeat purchasers in Salesforce Marketing Cloud
Now you'll create the prediction objective(s) necessary to complete this use case with Faraday.
Describe your repeat purchasers predictions with outcomes
Outcomes use machine learning to predict whether or not people will exhibit a certain behavior.
Creating an outcome for likelihood to buy again.
Let's make an outcome for likelihood to buy again.
- In the navigation sidebar, choose Outcomes.
- Click the New outcome button.
- Fill out the form:
- Click the Save outcome button.
Faraday will do some magic in the background, so you can proceed with the rest of the instructions. When your outcome is done building, you'll get an email, and you can review your outcome.
Using Pipelines to deploy predictions to your stack
Now you'll configure the pipeline that deploys your predictions to salesforce_marketing_cloud.
Create your pipeline for repeat purchasers in Salesforce Marketing Cloud
- In the navigation sidebar, choose Pipelines.
- Click the New Pipeline button.
- Fill out the form:
- For Payload, choose the following:
- Outcome: Likelihood to buy again
- For Population to include, choose the following:
- A cohort representing your customers
- For Population to exclude, choose the following:
- A cohort representing your repeat purchasers
- Enter a memorable name, like "Repeat purchasers in Salesforce Marketing Cloud".
- For Payload, choose the following:
- Click the Save pipeline button.
Your pipeline will start building in the background. You can proceed immediately with the next set of instructions.
Deploying your pipeline to Salesforce Marketing Cloud
CSV
- In the Deployment area, find the CSV module and click Add.
- Fill out the popup:
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Choose the Identified option.
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Choose Human friendly column headers.
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- Click the Next button.
- Expand the Structure section of Advanced Settings
- Click the Finish button.
- Click the Test deployment button and confirm the results meet your expectations.
Faraday will finish building your pipeline in the background. When it's done, you'll get an email—return to the pipeline and click the Enable pipeline button to activate it.
How to use your repeat purchasers predictions in Salesforce Marketing Cloud
With your pipeline deployed, it's time to plug your repeat purchase scores into Salesforce Marketing Cloud, where you can plan a campaign to keep your customers coming back for more.
🔒 It's a best practice to permanently delete any file that contains personally identifiable information (PII) after use. Any deployment from Faraday that is unhashed contains PII, and should be deleted after uploading it to your destination for security purposes.