Home · Promos

Home retailers: Ward handles Promos.

store-level Promos signals, caught before they compound.

The Promos capability built for Home Improvement

Ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading.

Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.

app.getward.ai
Promos for Home — live product demo.

What changes for your team

  • Net lift measurement (not gross)
  • Cannibalization quantification
  • Pull-forward detection
  • Promo ROI scorecards

Why promos matters
in home retail.

Home improvement promos drive traffic spikes, but most promotional purchases would have happened at full price within 30 days — the customer was already planning the project. True incrementality comes from triggering project starts, not discounting items already in someone's plan.

Memorial Day sale post-mortem

The Memorial Day event shows strong weekend revenue lift, but Ward's analysis reveals most of it was pull-forward from purchases that would have happened within 30 days, plus deal-seekers with below-average basket sizes. The highest-incrementality performers were project-starter bundles that triggered new project purchases. Ward recommends shifting future event strategy from broad discounts to project-starter bundles.

What a Ward card looks like.

Ward · Promos for Home06:47 AM

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

✓ Action recommendedHome context applied

Home promos:
the shift.

Without Ward
Found in the quarterly review — weeks after the damage is done.
  • ×Project basket identification
  • ×Seasonal pre-positioning
  • ×Long-tail inventory
With Ward
Caught this morning. Root cause attached. Action recommended.
  • Net lift measurement (not gross)
  • Cannibalization quantification
  • Pull-forward detection

Home KPI impact.

Seasonal Accuracy
Weather + event driven
Pre-positioning adjusted for peak season signals.
Long-Tail Turn
Dead weight separated
Which tail SKUs serve project needs vs sit idle.
Project Basket Value
Cross-sell surfaced
Project purchasing patterns drive attachment.

Ward requires 6\u201312 months to baseline seasonal categories. Pro vs DIY segment separation is critical for accurate modeling.

Questions about promos.

First cards within 48 hours. Robust baselines in roughly 2 weeks.

Yes. Ward scales from 5 stores to 5,000.

TLS 1.3, AES-256 at rest. SOC 2 Type II in progress. On-prem available.

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
$1.8T
Projected global AI market by 2030
0
×
Customer acquisition lift for data‑driven orgs
0
+
Foundation models shipped since 2022
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Guarantees any single model stays on top

Home retailers: see what Promos problems Ward catches.

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

Get a demo

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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