Connect Klaviyo to Aqurate
Connect Klaviyo to Aqurate
1. In your Aqurate account, go to Integrations and click on Connect for Klaviyo
2. Login to your Klaviyo account when prompted
3. Click on Continue
4. Click on Allow to complete the connection
You are done! 🚀
🕛 Please note that it can take up to 24 hours for the data in Klaviyo to be synchronized.
Add Aqurate recommendations to Klaviyo campaigns
Add Aqurate recommendations to Klaviyo campaigns
1. On the Lists & segments page, click on Create List / Segment, and then select Segment
2. Give the segment a name, and build the filter by setting AQ_1_IM to "is set" under Properties about someone.
3. On the Campaigns page, click on Create campaign
4. Give you campaign a name, and click on Save and continue
5. Add the segment you have previously created to Send to, then click Continue to content
This will make sure that only users with recommendations receive the email.
6. Select any template you want, or start with a blank email. On the builder, add a text block.
7. Click on Source code
8. Replace the default text with the module code from Aqurate
You can get it here: Email | Aqurate
9. When you're happy with your email, click on Save
Your email should display some placeholders for products - don't worry, they will be filled out for each email recipient.
❌ Remember not to send email with the generated code block to contacts that are not part of the created segment. If so, contacts will receive raw code displayed instead of personalized recommendations.
Each contact included in the segment will have 6 products calculated as personalized recommendations (for some contacts we might recommend also best-sellers if our module could not generate personalized content). You will be able to choose in the html module builder how many you send via email.
Now you can send off your new campaign and measure the impact of the personalized recommendations in Google Analytics.
The links of the personalized product recommendations include Source and Medium to be tracked in Google Analytics.
Add Aqurate recommendations to Klaviyo flows
Add Aqurate recommendations to Klaviyo flows
Flows in Klaviyo help you streamline your communications and make sure your contacts get the right emails at the right time. You can build from scratch an automated flow, select the trigger that will start the journey, and include personalized product recommendations at user level in each email.
In this article, we'll guide you through the creation of a post-purchase automated email in Klaviyo.
1. On the Flows page, click on Create flow and then select Create flow from scratch
2. Give your flow a name and click on Create Flow
3. Choose Metric as trigger
4. Choose Placed Order and click on Done
5. Drag the Time Delay to your flow
6. Add your desired time delay and click on Save
We recommend at least 24 hours from the last order, so all recommendations get populated.
7. Add an Email action to the flow
8. Click on the Email
9. Click on Configure Content
10. Select any template you want, or start with a blank email.
In this example, we're using a blank email.
11. Add a Text block to the email, and click on Source code
12. Replace the default text with the module code from Aqurate
You can get it here: Email | Aqurate
13. When you're happy with your email, click on Save
Your email should display some placeholders for products - don't worry, they will be filled out for each email recipient.
14. Back on the flow, click on Additional Filters
15. Click on Add an additional filter
16. Choose Properties about someone for the condition
17. For the condition, select Properties about someone, then set AQ_1_IM to "is set". Then hit "Save".
This will make sure that only users with recommendations receive the emails.
18. Click on Review and Turn On
You are done! 🚀
Now you'll send automated email to your contacts based on your chosen starting point.
Please note that if you use the Placed Order starting point, customers will not be retroactively enrolled in the automation. In other words, only contacts who did not make a purchase x days after the automation is live will be enrolled.
The links of the personalized product recommendations include Source and Medium to be tracked in Google Analytics.





























