A specialty Head of Procurement running promos on Shopify
Know which promos actually work. Ward runs it on Shopify data across your specialty fleet, scoped to procurement.
The full picture: specialty promos, Shopify data, Procurement decisions
Merchandising wants Ward. You sign the contract. Ward brings up the readings that change a procurement decision.
Promo Effectiveness. Ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading.
Applied to Specialty Retail, the surface area is 5,000+ SKUs across boutiques. High-consideration purchases, curated assortments, and customer lifetime value. Ward tracks the metrics that matter for margin-rich retail.
Under the hood. Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.
How the connection works. OAuth-based connection. Ward reads via Shopify Admin GraphQL API. Real-time webhooks for order and inventory events.
The short list
- Promo ROI scorecards
- Net lift measurement (not gross)
- Cannibalization quantification
- Pull-forward detection
Chat
Ask anything. Ward routes to the right agent and returns cited answers.
I pulled traffic against conversion by hour for the four flagships. Traffic is fine. The gap is coverage and depth.
| Signal | Finding |
|---|---|
traffic_conversion | Conversion 18.4% vs. 23.1% chain, all of the gap in 12–2p and 5–7p |
labor.coverage | One associate on the floor through both peaks at 3 of 4 doors |
inventory.depth | Top 20 styles at 1.4 units per size, walk-away rate +9% |
Recommend: add floor coverage to both peak windows, deepen the top 20 styles to three per size at the flagships, and route the walk-away list to clienteling.
traffic_conversion…
Reporting
Pinned views built from saved data-lake queries. Every number re-derivable from its SQL.
| Model | Horizon | MAPE |
|---|---|---|
holt_winters | 4wk | 4.1% |
arima_sarimax | 13wk | 8.9% |
gbm_demand | 1wk | 2.1% |
bayes_hier | new store | 11.4% |
Sources
Connect external systems to the data lake.
| Name | Type | Last sync |
|---|---|---|
shopify_orders_daily | import | 2m ago |
lightspeed_store_sales | import | 2m ago |
netsuite_inventory_snapshot | import | 14m ago |
retail_customer_ltv | import | 1h ago |
retail_traffic_conversion | import | 1h ago |
retail_clienteling_log | import | 1h ago |
retail_ga4_website_daily | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
| Policy ID | Effect | Resources |
|---|---|---|
ops-read-default | permit | Model::* |
crm-read-ltv | permit | Model::"customer_ltv" |
associate-pii-blocked | forbid | Model::"customer_pii" |
merch-read-assortment | permit | Model::"sales_by_tier" |
Why Promos matters for Specialty retail
Discounting contradicts the premium positioning that justifies specialty pricing. The most effective specialty promotions are experiences and exclusives that drive traffic without training customers to wait for sales. Ward measures not just promotional lift but the long-term impact on purchasing behavior.
What Ward has eyes on.
Every one of your boutiques gets its own baseline. Ward watches CLV, conversion rate, units per transaction against it and surfaces only the deviations that hold up. The two that show up most in specialty retail are assortment curation and customer lifetime value, and both are baseline problems before they are P&L problems.
The connection to Shopify / Shopify Plus is read-only and runs on your schedule. Ward reads straight from orders & line items, product catalog, and the rest of the feed, then stitches together it with external context your Commerce does not carry: weather, local events, competitor pricing.
The promos model runs each day, not on a reporting calendar. It catches the pattern, explains the cause, and attaches a recommended action before the number reaches a review deck.
At the metric level. Ward tracks long-term customer behavior impact, new customer acquisition quality, brand perception metrics, and promotional dependency scores, the share of the customer base that now waits for sales before purchasing.
Why this combination
is its own problem.
Shopify / Shopify Plus was built for transactions, not for procurement decisions. The data is right there and it is in the wrong shape. Ward pulls from orders & line items and product catalog and rewrites them as a decision.
- 01 Flash sale ROI gets measured on event-window revenue without tracking the 60-day customer behavior shift that grows discount-seeker share at the expense of full-price loyalists.
- 02 VIP and access-driven events get under-measured because their value is in retention and brand equity, not weekend-window revenue spikes.
Benchmarks. Specialty flash sales typically lift event-window revenue 60-150% but lift 60-day net incremental revenue only 0-15%. Access/VIP events typically lift event-window revenue 15-40% but show 20-50% higher 60-day customer retention and repeat purchase versus discount events.
What the first 90 days
actually look like.
-
01
Week 1: read-only connection
Ward sits on top of Shopify / Shopify Plus with read-only credentials and begins ingesting orders & line items and product catalog. No config changes on your side. First daily cards arrive within 48 hours.
-
02
Weeks 2 to 3: calibration
Baselines stabilize per store and per category. Ward stops flagging normal variance and starts flagging exceptions. This is the window where the false positive rate drops sharply.
-
03
Weeks 4 to 12: steady state
Ward delivers findings daily, each with what caused it and the next step. Volume settles at a level a single person can read over coffee. The measure of success is not how many findings arrive, it is how many get acted on.
How Ward connects to Shopify / Shopify Plus
Ward connects to Shopify and Shopify Plus via the Admin API. Orders, products, inventory, and customer data power Ward insight cards for omnichannel retailers.
Setup: OAuth-based connection. Ward reads via Shopify Admin GraphQL API. Real-time webhooks for order and inventory events.
Data Ward reads from Shopify
Impact metrics with Shopify
Data lake enrichment
Ward enriches Shopify data with: Order & line items, Customer behavior, Marketing attribution, Returns & exchanges, Competitor pricing
Merchandising wants Ward. You sign the contract.
- ×Business sponsor saw the demo. You have a week to vet a vendor you didn't pick
- ×AI vendors price by seats and tokens. Total cost is unknowable until invoice three
- ×Multi-year commits with auto-renew. No exit if the pilot stalls
- ×Renewals come back 30% higher, with no room to push back and no benchmark to cite
- ×Security and DPA reviews start after the team has already committed
- ✓MSA, DPA, SOC 2 Type II underway, and architecture review available before signature
- ✓Month-to-month contracts. No multi-year lock-in. No auto-renew traps
- ✓Transparent pricing set by scope and store count
- ✓14-day insight guarantee. If Ward doesn't deliver, month two is on us
- ✓AI strategy, orchestration and reporting-layer work in enterprise grocery at nine-figure revenue. Reference calls available before signature
Enterprise SaaS spend grew 18% YoY. 53% of subscriptions are underused or duplicative. Source: Gartner
Specialty KPI impact
Frequently asked questions
Ward measures true promotional lift net of cannibalization, pull-forward, and pantry loading. For Specialty retail specifically, Ward monitors 5,000+ SKUs across your boutiques and delivers automated insight cards with root cause analysis and recommended actions.
Ward tracks CLV, Conversion rate, Units per transaction, Repeat purchase rate, Sell-through by tier at the store-category level. Ward isolates incremental volume from baseline, measures cross-SKU cannibalization, estimates pull-forward effects, and calculates true ROI.
OAuth-based connection. Ward reads via Shopify Admin GraphQL API. Real-time webhooks for order and inventory events. Data points include: Orders & line items, Product catalog, Inventory levels, Customer profiles, Discount usage, Fulfillment data.
Yes. Ward reads Shopify data and combines it with contextual signals (weather, events, demographics) to generate Specialty-specific insight cards. No custom development required.
Merchandising wants Ward. You sign the contract. Ward solves this with automated insight cards: MSA, DPA, SOC 2 Type II underway, and architecture review available before signature. Month-to-month contracts. No multi-year lock-in. No auto-renew traps. Transparent pricing set by scope and store count.
Ward delivers daily insight cards covering CLV, Conversion rate, Units per transaction, tailored for Procurement decision-making. Each card includes what changed, why it matters, and what to do next.
Ward tracks long-term customer behavior impact, new customer acquisition quality, brand perception metrics, and promotional dependency scores, the share of the customer base that now waits for sales before purchasing.
Marketing tests two approaches: a percentage-off flash sale and a VIP early-access preview with no discount. The flash sale wins on event-weekend revenue, but Ward's 60-day post-event analysis shows the VIP event dominates on new customer acquisition, repeat purchase rate, and absence of discount-seeking behavior. Flash sale customers show a decline in full-price purchasing afterward. Ward recommends scaling the VIP model.
First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish stable 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.
Related solutions
See what Specialty promos problems Ward catches.
Root causes, not just alerts. See it on your data.
Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly
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.