Aislelabs

Name: Aislelabs Introduction Video
Uploaded: 2024-04-04T21:39:04Z
Duration: 1 min 33 s
Description: Unified customer data platform for physical and digital store

Aislelabs

Develop by Aislelabs Connect

Free plan available

Unified customer data platform for physical and digital store

Cross-channel marketing

Unify shopper data

Guest wifi insights

360 shopper profiles

About Aislelabs

Launched Jun 23, 2020

Built by Aislelabs Connect

Email :

[email protected]

Address

393 University Avenue, Suite 1811, Toronto, ON, M5G 1E6, CA

Website Privacy policy

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Introduction Video

Description

#eCommerce meets Brick and Mortar Aislelabs Customer Hub provides Customer Data Platform (CDP) for unifying online and offline shopper data. Use guest WiFi as first party data source for shoppers visiting your physical stores. Consolidate online browsing and purchase transactions from Shopify with in-store visits to create a true 360 profile of each shopper. Use built-in full-featured marketing across email, SMS, advertising, surveys and coupons to engage with your shoppers, both online and...

Pros

Provides a unified customer data platform that integrates both online and offline shopper data
Utilizes guest WiFi as a first-party data source for in-store shoppers
Consolidates online browsing and purchase data from Shopify with physical store visits, creating a comprehensive 360-degree profile of each shopper
Offers full-featured marketing tools including email, SMS, advertising, surveys, and coupons to engage with shoppers
Ideal for retailers looking to merge their eCommerce and brick-and-mortar strategies

Cons

Potential privacy concerns regarding the use of guest WiFi to gather customer data
May require a significant investment in guest WiFi infrastructure for accurate data collection
Integration challenges might arise when consolidating data from multiple sources (physical and digital)
Complexity in managing a robust and multifunctional marketing platform
Limited information available on ease of use and customer support quality