A data silo is a set of information that is locked away within a system, an area, or a spreadsheet, without being connected to the rest. This happens when e-commerce, the point of sale, the ERP, the email tool, and the WhatsApp channel each store their own portion of customer data, and no one has the complete picture.

Why does it matter?

Silos come with a cost that isn't always visible, but is certainly felt:

• A limited view: A customer who shops frequently in-store may appear inactive if you only look at the website.
• Inconsistent messages: You offer someone a product they've already purchased through another channel.
• Manual work: The team wastes hours exporting and cross-referencing spreadsheets.
• Slow decision-making: By the time the numbers are finally ready, the opportunity has already passed.
• Results that are hard to measure: you don't know which channel or campaign generated a sale.

Story mode

A clothing brand sells online and in ten stores. The marketing team notices that Tomás hasn’t made a purchase on the website in a year and sends him a re-engagement campaign offering a discount. What they don’t know is that Tomás shops at the store in the mall every month. The discount was unnecessary, and the message was irrelevant. With the data combined, Tomás would have received news about his favorite brand instead of a “we miss you” message.

How to Use It with Data4Sales

Data4Sales functions as a Customer Data Platform that breaks down those silos:

• Combine purchases from brick-and-mortar stores, e-commerce, ERP systems, marketplaces, campaigns, and conversations into a 360° customer profile.
• It integrates with more than 50 connectors, such as VTEX, Shopify, Bsale, SAP, Odoo, and MercadoLibre.
• Identity Resolution merges duplicate records based on document, email, or phone number.
• The omnichannel inbox brings together conversations from WhatsApp, Instagram, Facebook, email, and MercadoLibre.

Related terms

• Customer Data Platform (CDP)
• Data Sources
• 360° Profile
• Data Quality