Why did DAU drop this week?
DAU is down 8% since Tuesday, likely tied to send frequency on your onboarding journey.
DAU
Users with at least one session in a day
8%
vs last week
21,840
as of
9 AM, Today
Generating charts…
“Analyst AI gave us a live view of attribution the same day we connected Redshift. We stopped guessing and started making calls based on what the data actually said.”
Jatin, Co-founder, Toast
From signal to action
What Analyst AI does
Watches everything. Explains what changed. Tells you what to do.
Catches problems before they show up in revenue
Engagement drops and retention risks surface in Analyst AI before they appear in your weekly numbers. It watches every active campaign continuously — no scheduled pull, no one needing to check.
I've spotted a drop in your win-back sequence. Campaign delivery is unchanged.
Metric
Last week
This week
Campaign delivery
98%
98%
Open rate
26.7%
18.4% ↓
Click rate
4.1%
2.8% ↓
Likely cause: Subject line fatigue. Same format used 4× in 14 days.
Tells you why the metric changed — not just that it did
Subject line fatigue. Send frequency. Audience exhaustion. Data sync delay. Analyst AI distinguishes between these 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
A/B readouts without waiting for the data team
Compares Group A vs Group B on revenue, conversions, and engagement. Queries your warehouse directly and produces a decision-ready interpretation.
Group A
Group B
Revenue/user
$4.80
$1.40
Conversions
4.1%
1.2%
Problems surface in minutes, not at the weekly review
A drop that used to sit unnoticed for 7 days now surfaces in under 15 minutes. The same team gets ahead of problems instead of cleaning them up after the fact.
Time from issue to team awareness (Avg.)
7 days
Last quarter
14 mins
This quarter
Reads from your warehouse directly
Connects to Snowflake, BigQuery, and Databricks. Answers come from the same data your analytics team uses — not a dashboard approximation.
From player data to deposit growth
Analyst AI helped Toast identify where users were dropping, surface dormant cohorts, and turn those insights into lifecycle campaigns.
5x
Increase in first-deposit conversion
5%
Dormant users returned and re-deposited
1 day
To connect Redshift and get onboarded
Setup and use
How Analyst AI works
Connect your data once. It monitors continuously and flags what changes.
1
Connect
Connects to your warehouse and your ESP. During onboarding it learns your metrics and baseline benchmarks.
2
Monitor
Watches all active campaigns continuously. When a metric crosses a threshold, it surfaces an alert — no scheduled pull or manual check needed.
3
Explain and recommend
Every alert includes what changed, the most likely cause, and a specific recommended action. Apply the change — Analyst AI monitors whether it works.
The business case
Why lifecycle teams use Analyst AI
When your team finds out about problems a week late — or waits days for a data pull.
Early Warning
Analyst AI watches every active campaign continuously. When a metric drops, it surfaces the alert in minutes, not at the next weekly review.
Know before the damage compounds.
Open rate monitoring
Click rate anomalies
Revenue per email alerts
Root Cause
A metric change without an explanation isn't actionable. Analyst AI ranks the most likely causes and rules out the ones that don't fit.
Cut straight to what changed.
Subject line fatigue
Send frequency
Audience exhaustion
Attribution Clarity
Analyst AI returns campaign-level attribution from your warehouse broken down by cohort and time period, not estimated.
Revenue tied to the campaign that earned it.
Revenue per email
Campaign-to-order attribution
Cohort revenue comparison
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 warehouse. Your ESP. Sortment sits in between.
Analyst AI connects to your warehouse, explains drops, compares cohorts, builds dashboards, and turns performance questions into clear next steps.
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