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A behavior-based AI email system for Spectra perfumes E-commerce & manufacturing brand
- Client
- Spectra Perfumes
- Services
- Email marketing AI automation
- Industry
- E-commerce, Manufacturing
Overview
An email system that reacts to buyer intent, not static calendars.
Spectra Perfumes is a UAE-based perfume manufacturer with production, distribution, and sales channels serving retail and wholesale customers across multiple markets. With a growing product catalog and customer base, the team needed a more intentional way to stay connected with buyers after they showed interest.
Spectra needed a practical automation layer that could understand browsing behavior, purchase patterns, and replenishment windows, then turn those signals into timely campaigns and discount incentives for customers.
The goal was not to add another marketing tool. It was to create a cleaner lifecycle system that could help the team speak to customers at the right moment, with messaging and offers shaped by product interest, purchase history, and the customer relationship they were trying to build.
Challenges
The team had demand signals, but no clear follow-up system.
Before the system was mapped, the team relied on broad customer groups and manual campaign planning. That made follow-ups slower to launch and easier to miss, especially when customers browsed products, abandoned carts, or moved through different stages of the buying journey.
Solutions
We turned key buying signals into automated follow-ups.
The solution focused on capturing high-intent moments that were previously easy to miss. We mapped those behaviors into a simple lifecycle flow that waits for the right window, checks the right conditions, and sends timely follow-ups with relevant product context and discount incentives.
We reviewed the store journey, customer touchpoints, and existing follow-up process to understand where buying intent was being captured but not acted on.
Key customer behaviors were mapped into lifecycle moments so the team could respond with more relevant follow-ups instead of relying on broad campaign timing.
We shaped the follow-up logic into reusable flows with clear triggers, timing rules, and discount incentives designed to bring interested customers back.
Once the flows were live, the structure was set up so future subject lines, timing, offers, and message variations could be refined based on performance.
Technologies we used
Shopify
Shopify Messaging
Results
24/7
Always-on follow-up
The system runs in the background, waiting for the right conditions before sending timely emails with product context and discount incentives.
2
Core automations launched
Two behavior-based flows were implemented to respond to customer intent across important moments in the buying journey.
90%
Estimated campaign time saved
By moving repeat follow-ups into automated flows, the team can avoid most of the manual setup normally required to run similar campaigns.
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