Zizr helps fashion retailers guide customers to the right size
Zizr gives clothing and shoe retailers better size guidance directly on the product page, without asking shoppers for weight, body photos, or measurements. Because the product is most valuable for retailers with size uncertainty, returns pressure, and product-level fit complexity, Zizr needed outbound data that identified the right stores instead of every store.
The problems: Retail data was broad, noisy, and hard to prioritize
Zizr knew which retailers were likely to benefit from better sizing guidance, but finding those companies at scale required more than a standard ecommerce scrape or a generic prospecting database.
High-fit retailers were hidden in niche sources
The best accounts were spread across Shopify ecosystems, category directories, brand sites, regional retail lists, and product pages that traditional tools did not fully connect.
The right buyer was not always obvious
For some retailers, ecommerce owned the sizing problem. For others, it sat with merchandising, operations, product, or the founder.
Many accounts looked similar at first glance
A fashion store with a simple catalog and a fashion store with high size complexity can appear identical in broad firmographic data.
Manual research slowed every campaign
Before SPONA, the team spent too much time checking product categories, store maturity, fit relevance, and contact accuracy before outreach could begin.
Why SPONA worked: Retail-specific data refined before outreach
Zizr used SPONA to build targeted retail audiences by combining company data, category signals, ecommerce indicators, and decision-maker validation. The result was a cleaner universe of retailers with a stronger reason to engage.
Retail lists were built by category and platform
SPONA identified clothing and footwear retailers by market, ecommerce setup, product focus, and visible fit-related complexity.
Contacts were mapped to the buying motion
SPONA enriched accounts with owners, ecommerce leads, commercial leaders, merchandising contacts, and other roles connected to conversion and returns.
Fit signals made prioritization easier
The team could focus on retailers where product mix, size variation, and purchase hesitation made Zizr's value more obvious.
Segments were ready for immediate sequencing
Each export grouped accounts by region, category, and priority, making it easier to personalize campaigns without starting from scratch.
How Zizr uses SPONA day to day
- Builds lists of online clothing and footwear retailers by geography, catalog type, and ecommerce platform
- Enriches company records with category, product, store maturity, and sizing-relevance signals
- Validates founders, ecommerce leaders, commercial contacts, and merchandising decision-makers
- Feeds segmented audiences into outbound sequences, partner campaigns, and event follow-up
