Email Marketing and Automation.
Lifecycle, nurturing, and broadcast with AI personalization. Email remains the channel with the best ROI. Most brands use it poorly.
Generic monthly newsletter nobody reads. Welcome sequences stuck in 2020. 30k contact list with 2% open rate. Email is the most underutilized channel for most brands.
What we do
- Lifecycle: welcome, onboarding, retention, win-back
- Editorial newsletter with a consistent voice
- Behavioral and AI-based personalization
- A/B testing on subject lines and content
- List hygiene and deliverability
Automated and personalized Lifecycle
Trigger → AI segment → personalize → AI subject → send → tracking → score → optimization loop.
What we build in this area
Welcome sequence
5-7 emails that convert new leads into active users.
Newsletter
Weekly/monthly editorial with a unique voice.
Win-back
Inactive user recovery with smart offers.
Transactional
Order, shipping, billing — small details that build loyalty.
Tools and technology
We're not married to any. We choose the best one for the problem.
Frequently asked questions
What tools do you use?+
Mailchimp, Beehiiv, Klaviyo, Customer.io. We choose based on maturity.
GDPR / opt-in?+
Fully compliant. Documentation and double opt-in where applicable.
Does personalization require a heavy stack?+
No. AI enables true personalization even with simple stacks.
Do you guarantee open rates?+
We guarantee best practices. Open rates depend on brand, list, and offer.
From the blog about this service
AI in e-commerce and marketplaces: nine practical opportunities that already work
Not the future of retail: what an online store, a marketplace seller or a B2B distributor can get working this quarter, ordered by effort and return.
What AI costs by real use case: chatbot, code, documents and content
What a chatbot, a coding agent, document analysis and content cost per month on OpenAI, Claude and Gemini, at October 2026 prices.
How to calculate the cost of an AI project based on tokens
The formula and a worked example to estimate the monthly cost of an AI project in tokens before writing any code, including a safety margin.