Reply analysis
Natural language processing tells whether an incoming reply is interest, an objection or a rejection, and sets the next step accordingly.
From catalog to buyer, from buyer to reply.
An AI-powered export engine that reads your product catalog, finds the buyer in the target country, then builds the sales sequence in that country’s own language.
MEET THE PRODUCT
What is Exporia.io?
Exporia.io automates the two most exhausting steps of export sales: finding out who to contact and writing to that person in their own language. It analyzes your product catalog, searches for matching buyers in the target country, builds a multi-step sales sequence and analyzes incoming replies to update the sales funnel.
HOW IT WORKS
Exporia.io step by step.
- 01
Catalog analysis
Your product catalog is read, and each product is mapped to the sector and buyer profile it corresponds to. This is the starting point of the search.
- 02
Buyer discovery
Potential buyers in the target country are scanned across Google, LinkedIn, marketplaces such as Amazon and Ozon, and local chambers of commerce.
- 03
Sales sequence in the target language
A three-step sales sequence is built for every buyer found, and the messages are written in the target country’s native language: not a translation, but text composed in that language.
WHAT IT DOESKey
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capabilities.
Color-coded CRM funnel
Every buyer sits in the funnel with a color; which step they are at and how they replied is visible at a glance.
GDPR and CAN-SPAM
The rules of cold outreach vary by country. Sequences are built to comply with GDPR and CAN-SPAM requirements; this is also why a local subdomain is set up separately.
Let’s talk about how it adapts to your business.
Let’s evaluate the user structure, integration needs and, if any, options to adapt it to your brand.
QUESTIONS ON YOUR MIND
Before we start.
What exactly does Exporia.io do?+
It analyzes your product catalog, finds potential buyers in the target country, builds a multi-step sales sequence in that country’s native language and analyzes incoming replies to update the CRM funnel. It automates the research and first-contact part of export sales.
Which sources does it find buyers from?+
Google, LinkedIn, marketplaces such as Amazon and Ozon, and local chambers of commerce in the target country. All four source types are scanned together; it never relies on a single list.
Are the messages translated, or written in the target language?+
They are composed in the target country’s native language. A Turkish text that has been translated and a text written in that language are not the same thing; the difference shows in the first-contact message.
How many steps does the sales sequence have?+
Three. First contact, reminder and close; each step changes based on the reply to the previous one, and the sequence stops when a reply arrives.
What happens to incoming replies?+
Natural language processing classifies the reply as interest, objection or rejection, and the buyer’s color in the CRM funnel changes accordingly. No one on the team needs to read the inbox one by one.
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