Best Practices for Creating Interaction Buckets in Marketo
Hi Team ,
Problem Statement :
I’m trying to create interaction buckets in Marketo based on the most recent engagement (email open or click) so we can segment audiences based on how recently they interacted with our emails. The buckets I’m aiming to build are:
0–30 days, 31–60, 61–90, 91–120, 121–150, 151–180, 181–210, 211–240, and 241–540 days.
The goal is to identify how long it has been since a contact last engaged with us and use these segments for follow-up or re-engagement email campaigns.
Current Approach :
I created filters using email open and click activities within specific date ranges. However, I’ve noticed some inconsistencies. For example, some records that opened or clicked within the last 30 days are appearing in the 121–150 day bucket.
This makes me think I might not be structuring the activity filters or AND/OR logic correctly, or that multiple open/click activities may be affecting the results.

What I’m Considering :
I have creating a custom field called “Interaction Bucket” and planning to run a daily Smart Campaign to update the bucket based on the number of days since the last open or click.
Where I Need Help :
I’d appreciate guidance on:
-
The best way to accurately identify the latest interaction (open or click) in Marketo and put them in their said buckets
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Whether using activity filters with date ranges is the right approach and what filters should be used? If you share that ..it would be really helpful
My main goal is to ensure the interaction buckets are accurate, since they will drive our follow-up and re-engagement campaigns.
Do let me know in case of anything
Regards,
Akshat


