Retail Shopper Journey
In-Market Identified
Behavioral signals from purchase intent data
Activated Across Channels
CTV, display, social, search — same identity layer
Visited In-Store or Online
Footfall + e-commerce visitor identification
Purchase Made
Transaction matchback to ad-exposed households
Lift Measured
Real ROAS, AOV lift, frequency change
Retail Data Built on Purchase Behavior, Not Browser History.
Semcasting's retail targeting is built on ownership transaction behavior, household income, and brand affinity, not cookie-based browsing signals. Every audience is matched to real household identities for deterministic activation and closed-loop attribution.
Purchase Behavior Data
Verified data across retail categories and points of purchase, identifying households with demonstrated purchase history in your category, not just content consumption behavior. Separate frequent buyers from one-time purchasers and high-value from low-value segments.
Brand & Retailer Affinity
Brand loyalty indicators, retailer preference data, and switching behavior signals, enabling competitive conquest campaigns and loyalty retention campaigns targeting the right households with relevant switching incentives or loyalty reinforcement messages.
Household Income & Spend Capacity
Verified household income, discretionary spending estimates, and category spend capacity data, ensuring your campaign reaches households with both the intent and the financial profile to purchase at your price point.
Proximity & Store Visit Data
Geographic proximity to your retail locations, historical store visit indicators, and drive-market household identification for store traffic campaigns targeting households most likely to visit in-store based on both proximity and shopping behavior.
Lapsed Customer Identification
Match your customer file to Semcasting's household data to identify lapsed customers - households that purchased from you 6-18 months ago but have not returned. Build win-back campaigns targeting this high-value, high-affinity segment.
Seasonal & Lifecycle Signals
Back-to-school, holiday gifting, spring home improvement, summer outdoor - Semcasting's seasonal behavioral data captures the purchase timing patterns for specific household types, enabling campaigns timed to when your audience is most likely to be in-market.
How Retail & E-Commerce Brands Use Semcasting
Prospecting
Find New Customers Who Look Like Your Best Ones
Upload your best customer file and Semcasting builds a lookalike model around their purchase behavior, brand affinity, and household profile, finding new households that match before they find a competitor first.
Competitive Conquest
Target Shoppers Loyal to Competing Brands
Reach households with demonstrated loyalty to your primary competitors, identified by brand affinity data, retail category behavior, and purchase channel preference, with switching incentives and comparative messaging.
Store Traffic Driving
Reach High-Value Households Near Your Locations
Deploy geo-targeted campaigns to households within drive-time of specific store locations, layered with purchase behavior and income data to prioritize high-value, high-propensity shoppers, not just nearby addresses.
E-Commerce Retargeting
Re-Engage Cart Abandoners Across Every Channel
Identify cart abandoners and site browsers by household identity and retarget them across CTV, social, display, and direct mail with the specific products they viewed, not just generic brand reminders.
Customer Suppression
Stop Wasting Spend on Existing Customers
Match your existing customer database against active campaigns in real time - suppressing current purchasers and redirecting that media spend to true acquisition targets. Proven to reduce wasted spend by 20–40%.
Store Visit Attribution
Prove Digital Media Drove In-Store Foot Traffic
Match ad-exposed households to store visit records, proving which digital channels, audiences, and creatives drove real in-store conversions, not just clicks or online sessions.
Prove Digital Media Drove Real Purchases — Online and In-Store
Retail and frequency capping attribution breaks down when digital and in-store data live in separate systems with no shared identity layer. Semcasting solves this by connecting every ad-exposed household to both digital purchase records and in-store visit data - through the same deterministic identity graph used for targeting..
Transaction Matchback
Upload your transaction or purchase file during and after each campaign. Semcasting matches buyers to ad-exposed households — calculating real ROAS, average order value lift, and purchase frequency changes for both in-store and e-commerce data.
Match Rate
E-Commerce
Footfall Measurement
Store Visit Lift Studies
Compare visit rates among ad-exposed vs. unexposed households using matched identities, not device pings or probabilistic footfall data.
Recovery Attribution
Cart Abandoner Recovery
Track recovery rates across retargeting channels, identify which channels recover abandoners at the highest rate and lowest cost.
Conquest Conversions
Brand Switcher Identification
Identify households that purchased from a competing brand before your campaign and switched after exposure, quantifying true conquest.
Channel Sequencing
Multi-Channel Path to Purchase
Full touchpoint sequence — CTV, display, social, video, audio, direct mail — for converted households. Understand which sequences convert highest.
The Right Semcasting Products for Retail & E-Commerce
Self-Serve Platform
Audience Designer (ADS)
Build purchase behavior and household income segments with ADS's self-serve platform. Upload your customer file, build lookalike models, and activate omnichannel with built-in closed-loop attribution connecting campaign exposure to transaction outcomes.
API
ID Toolbox
Place the IDX Site Tag on your product and cart pages to capture visitor identity in real time, resolving anonymous shoppers to household identities with purchase behavior and income data appended. Enables identity-based retargeting without relying on cookie-based audiences.