Promos · Snowflake

Promo Effectiveness + Snowflake

Most retailers discover Promos problems too late. Ward delivers automated insight cards — what changed, why, and what to do — while there's still time to act.

Promo Effectiveness powered by Snowflake

Promo Effectiveness is the process of ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading.

When connected to Snowflake, Ward reads any table or view in your snowflake account, cross-database joins, historical data at any depth and enriches them with contextual signals to generate promos insight cards. Ward connects via Snowflake SQL API with key-pair authentication. Read-only warehouse. Your data never leaves Snowflake.

How Ward delivers Promos insight cards: Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.

Key capabilities

  • Net lift measurement (not gross)
  • Cannibalization quantification
  • Pull-forward detection
  • Promo ROI scorecards
app.getward.ai
Live product demo — Ward analyzing retail data in real time.

How Ward connects to Snowflake

Ward queries your Snowflake data warehouse directly. If your retail data lives in Snowflake, Ward reads it without moving or copying anything.

Setup: Ward connects via Snowflake SQL API with key-pair authentication. Read-only warehouse. Your data never leaves Snowflake.

Data Ward reads from Snowflake

Any table or view in your Snowflake account
Cross-database joins
Historical data at any depth

Impact metrics with Snowflake

Time to Insight
Zero-copy, zero-ETL
Queries run against existing warehouse tables directly.
Forecast Accuracy
Enrichment joins added
Weather, events, and demographics joined to Snowflake tables.
Data Utilization
Dormant tables activated
Unused warehouse data brought into cross-domain analysis.
Anomaly Detection Speed
Continuous monitoring
Deviations caught days before scheduled reports surface them.

Data lake enrichment

Ward enriches Snowflake data with: Any Snowflake table, Weather & events, Demographics, Competitor data, Custom feeds

What a Ward insight card looks like

Ward · Promos06:47 AM

BOGO on Brand X crackers lifted units 34% but cannibalized Brand Y by 28%. Net category lift: only +6%.

✓ Action recommendedSnowflake data

Frequently asked questions

Ward connects via Snowflake SQL API with key-pair authentication. Read-only warehouse. Your data never leaves Snowflake. Data points include: Any table or view in your Snowflake account, Cross-database joins, Historical data at any depth.

First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish robust baselines for your specific operation.

No. Ward sits on top of your existing stack. It is the proactive intelligence layer that watches your data continuously and delivers insight cards — so your team acts on findings instead of hunting for them.

Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.

Real-time detection Root cause + recommendation
02

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.

Tickets created automatically Dispatched to the right person
03

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached
04

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored
05

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time
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Foundation models shipped since 2022
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See what promos problems Ward catches.

Root causes, not just alerts. See it on your data.

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Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches — and the ones your current tools miss.

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