Draft the campaign with honest limits
Confirm campaign evidence on the dashboard and purchase graph while separating the limits of unknown products.
Question for this chapter
Which campaign should you propose, and what cannot be claimed from the current evidence?
Confirm campaign scale on the dashboard
Open Dashboards from the left navigation, then open sales_overview under analytics. All five
widgets use customer_analytics.
- Total Customers (statistic) — 22 customers
- Total Revenue (statistic) — $1,052.76 in total spend
- Customer Segments (donut) — the 7, 11, 4, and 0 distribution
- Revenue by Region (bar) —
us-eastleads at $475.18 - Avg Order Value by Tier (bar) —
platinumleads at $15.03
Draft three campaign lanes:
- Seven
championcustomers — recognition and early access rather than blanket discounting - Eleven
loyalcustomers — a repeat-purchase suggestion tied to the latest order - Four
newcustomers — product guidance and a second-purchase onboarding message
Hold the at_risk campaign until there is an audience.
Inspect purchase paths and the evidence boundary
Open ontology_materialization and select Run. On completion, the graph contains 22 customers,
88 orders, and 9 products. It also contains 88 customer-order relations and 88 order-product relations.
- Open Graph Explorer from the left navigation and select this scenario's collection.
- Select
ec_customerunder Entities. - Select
CUST-017and confirmcustomer_idin Node properties. - Confirm that seven orders returned with the customer are connected by
ec_purchased. - Select each order and use Expand neighbours to add its
ec_contains_productproduct. - Success is seven purchase paths from the customer through orders to products.
Interpret the result
You can answer which segment receives which message and inspect the products bought by CUST-017.
However, PRD-UNKNOWN does not represent a real product. Exclude it or resolve the source identifier
before using it for product-level personalization.
Next decision
You have three audiences with campaign drafts and two scopes to hold: at_risk outreach and unknown-product
personalization. Next, check the evidence needed for the final explanation in four questions.