Audience
Attributes
Campaign Logics
Insights
Triggers
Measurement
From signal to action
What Sortment can do with BigQuery data
Once connected, Sortment helps your lifecycle team turn warehouse data into audiences, campaigns, and performance insights without waiting on one-off data pulls.
Builds the audience and routes it
Create segments from customer profiles, events, transactions, and lifecycle traits stored in BigQuery, without relying on the engineering team.
Campaign Status
Preparing audience and content
Opportunity found
2 mins ago
Building campaign
Complete
Live
Review pending
Finds the drop before your team notices it
Surface drop-offs, retention gaps, conversion windows, and high-intent audiences from customer behavior proactively.
Opportunities found
Updated from behavioral and campaign data
4 mins ago
Repeat purchase window
1,240 users
High
High repeat intent in next 7 days.
Trial-to-Paid drop-off
860 users
Urgent
High repeat intent in next 7 days.
Win-back segment
2,110 users
Medium
Reactivation potential from inactive users
Create campaigns
Turn approved opportunities into campaign briefs, content, journeys, and tests.
Channel
Requirement
Email
Full HTML template
Push
40-char / 80-char
SMS
Link + CTA phrase
Conversational
Perform RCA
Sortment distinguishes between causes, ranks the most likely ones, and rules out the ones that don't fit.
Explanation
Status
Subject line fatigue
Same format 4x in 14 days
Likely
Send frequency
3 sends in 14 days
Likely
Timing anomaly
All clear
Ruled out
Getting started
We'll help you connect BigQuery
Sortment works with your technical owner to set up the connection, map the right data, and validate the first lifecycle workflow.
1
Follow the setup guide
Your technical owner uses the BigQuery setup guide to share the required access. Sortment can join the setup process to confirm permissions and answer questions.
2
Map the right data
We help identify the customer tables, events, user IDs, and lifecycle fields Sortment should use first, so your team does not have to define everything from scratch.
3
Check that everything works
Once connected, we validate that audiences, attributes, and campaign data are flowing correctly before your team starts using Sortment in live workflows.
Start where you are. Go as far as you want.
How teams use Sortment
Add Sortment to Braze, Iterable, or any other ESP without migrating, or use it to replace your CEP entirely.
Work with your existing stack
Full CEP replacement
Your BigQuery. Your ESP. Sortment sits in between.
Sortment monitors customer data in BigQuery, finds lifecycle opportunities, and turns them into audiences, attributes, and campaign direction your team can send through your ESP.
One platform. Every channel. No handoffs.
Sortment replaces your CEP entirely. Journeys, campaigns, segments, content, analytics, and AI agents all run in one platform.
No more coordinating across Asana, Jira, or Slack. No shared resources, no data team tickets, no waiting. Everything your lifecycle team needs to execute, in one place.
SMS
In-app
Push
Webhooks
QUESTIONS?
FAQs
Can Sortment send campaigns and run journeys?
Do I need a technical team to use Sortment?
Will migrating from my current tools be difficult?
Does Sortment work with my existing stack?
Is Sortment secure and compliant?
Secure & Compliant
Enterprise-grade security for world-class campaigns
AGENTS
CASE STUDIES
RESOURCES