Guide on the Segments View in Database
Segments are saved filters that stay alive. Instead of manually picking contacts every time you want to send a broadcast, you set the rules once and Spur keeps the list fresh.
You have two types of segments here: ones you build in Spur, and ones synced from Shopify.
1. Native Spur Segments
These are segments you build directly inside our platform using our filters.
Segment Name
What you called this filter. Keep names obvious so your team knows what they are looking at:
"Never placed an order" = window shoppers
"Purchased x product" = repeat buyers
"Dead audience" = time to clean house
Bad naming like "Sep" or "Imp" makes everyone guess. Don't do that.
Segment Size
Shows what percentage of your total contacts match this segment's rules.
99.79% means basically everyone (probably too broad)
6-15% is usually the sweet spot for targeted campaigns
This percentage updates live as contacts match or stop matching your rules.
Updated At
Last time this segment refreshed. Segments auto-update when new contacts join, data changes, or tags get added. Fresh timestamps mean active segments.
Actions
View Segment: Click to see the actual contacts inside. Opens a filtered view showing history, spend, and tags.
Edit: Tweak the rules (like changing "last 30 days" to "last 60 days") without starting over.
Delete: Removes the segment permanently.
2. Synced Shopify Segments
This section mirrors the segments already living on your Shopify store. It stops the endless loop of exporting CSVs from Shopify and importing them here just to run a broadcast.
How It Works
Sync from Shopify: Hit the button at the top to pull the latest numbers and data structure. This also brings back any segments you previously deleted from this list.
View Query: Click a segment to see the exact logic Shopify uses to filter those customers.
Edit: Since the logic lives on Shopify, clicking edit takes you straight to your Shopify admin panel to make changes.
Delete: Hitting delete here onlly removes the view from Spur. The segment stays safe on your Shopify store.
Which Type Should You Use?
They look similiar but handle data differently. Here is how to pick.
Use Shopify Segments when: You need deep historical data. Spur only tracks orders from the moment you installed us. If you need to target "People who bought a Blue Shirt in 2019" or deal with old product variants that might have changed, Shopify Segments are accurate because they have your full history.
Use Spur Segments when: You are filtering based on Spur specific data, for example, messaging activity. Shopify has no clue who opened your last broadcast or who triggered a specific flow. For anything related to "Message Sent," "Read," or "Automation Activity," build it in Spur.
Power User Examples
High-Value, Never Ordered (Spur Segment) People who have been in your system 30+ days but haven't bought. Prime targets for a first-purchase offer.
Tag Based Segments (Spur Segment) If you tag people by city or interest, segments let you message just "Mumbai customers interested in sneakers".
Engagement Tracking (Spur Segment) "Opened last 3 broadcasts but didn't click." These folks are interested but need a stronger push.
Win-Back Candidates (Shopify Segment) "Last purchase 60-90 days ago." Since this relies on purchase history that might pre-date Spur, a synced Shopify segment is often safer here.
Building & Editing
When you click Create or Edit on a Spur segment, you get the segment builder. This is where you set the specific rules that decide who gets in.
Full guide on the segment builder interface can be found here.