Hyperlocal audience segmentation
Customers are segmented automatically by location, behaviour, purchase history, and proximity - building granular segments no manual spreadsheet exercise could realistically maintain.
Segmentation, Targeting, and Positioning is the foundation of effective local marketing but manual STP across hundreds of locations and millions of data points isn't just inefficient, it's impossible. Sekel's STP Automation uses your transaction and footfall data to segment, target, and position automatically, at every location.

The problem
Manually segmenting audiences and positioning messages across hundreds of locations, each with different demand patterns and customer behaviour, isn't realistic at scale. The result is broad, one-size-fits-all campaigns that underperform because they're relevant to no one in particular.
How it works
STP Automation runs on the same demand and transaction data already flowing through your commerce operations - no separate data pipeline required.
Customers are segmented automatically by location, behaviour, purchase history, and proximity - building granular segments no manual spreadsheet exercise could realistically maintain.
Segments built automatically by location, behaviour, purchase history, and proximity to each outlet.
Audience matching across digital and physical touchpoints, powered by real demand and behaviour signals.
Message and offer customised by location, region, or segment not a single national message everywhere.
STP decisions informed directly by Sekel's Demand Engine forecasting data, connecting marketing to real demand patterns.
Activate segments across Google, Facebook, email, SMS, and WhatsApp from the same platform, simultaneously.
Segments update automatically as new transaction and behaviour data comes in no manual segment rebuilding.
Test positioning variants across locations and measure real commercial impact, not just engagement metrics.
Track which segments and positioning variants drive footfall and conversion at each location, with full reporting.
Sets segmentation logic and positioning frameworks once, letting automation apply them precisely across every location.
Sees location-specific positioning already tailored to their territory's demand patterns, without manual customisation.
Runs A/B tests on positioning variants and reviews attribution data to continuously refine what resonates locally.
Benefits from campaigns already tailored to their local customer base, driving more relevant footfall to their location.
Feeds demand and transaction data into segmentation logic, closing the loop between operations and marketing.
Receives offers and messaging that are actually relevant to them and their nearest location, not generic broadcasts.