Introduction
Email marketing remains one of the most effective communication channels: according to a study by the DMA (Direct Marketing Association, 2025), the average ROI of email campaigns is 42:1. However, setting up personalized chains, audience segmentation, and analyzing user behavior often requires manual work or hiring a developer. This is especially true for complex trigger scenarios — welcome series, abandoned cart emails, and reactivation of dormant customers.
Sendsay is a Russian email marketing platform that allows you to create and send transactional and marketing emails, manage subscribers, and analyze campaigns. But to turn Sendsay into a fully autonomous system that makes decisions based on data, integration with an AI agent is needed.
And here ASI Biont comes to the rescue — an AI agent that connects to any service via API without the user writing code. You simply provide an API key in the chat, and the AI itself writes the integration code for your service. No control panels, no "add integration" buttons, no waiting for developers to add support — everything is done in a dialogue.
What Does Integrating Sendsay with ASI Biont Provide?
Connecting Sendsay to the AI agent allows you to automate key email marketing processes that previously required manual intervention:
- Smart audience segmentation — AI analyzes user interaction history with emails, the website, and transactions, then dynamically groups them by behavioral patterns.
- Trigger email automation — The AI agent independently launches email chains based on events: registration, product view, add to cart, purchase, prolonged inactivity.
- Content personalization — AI generates unique email subject lines, texts, and recommendations for each recipient based on their preferences.
- A/B testing with adaptation — AI launches tests of email variants, analyzes results, and automatically switches the campaign to the winning variant.
- Unsubscribe prediction — AI identifies users with a high risk of unsubscribing and launches retention campaigns.
How Does This Work in Practice?
Step 1. Connection
You don't need to look for an "Integrations" section in the ASI Biont interface — it simply doesn't exist. Everything happens through a dialogue with the AI agent in the chat. You write:
"Connect Sendsay. My API key: sb-xxxx-xxxx-xxxx"
The AI agent automatically:
1. Identifies the service by the key format or your description.
2. Retrieves the Sendsay API documentation from an open source (official Sendsay API documentation available at: https://sendsay.ru/api/).
3. Writes the integration code in Python using the requests library.
4. Tests the connection by sending a test request (e.g., retrieving the subscriber list).
5. Reports successful connection and offers to set up the first scenario.
The entire process takes 30-60 seconds. No code from your side.
Step 2. Scenario Setup
After connection, you can simply describe tasks in natural language. Here are three examples of real scenarios.
Example 1. Welcome Series
Chat request:
"Create a welcome series of 3 emails for new subscribers. First email — 5 minutes after subscription, second — after 24 hours, third — after 3 days. In the first email, talk about the service benefits, in the second — show popular products, in the third — give a promo code for the first purchase. Use data from Sendsay about product categories the user viewed"
The AI agent:
1. Creates three email campaigns in Sendsay using the Sendsay API (campaign.create method).
2. Sets up triggers: subscriber.add event for the first email, timers of 24h and 3d for subsequent ones (using trigger.set).
3. Programs personalization logic: extracts the viewed_categories field from the subscriber profile (if it exists) and passes it to the email template via variables.
4. Generates HTML email templates with dynamic blocks.
5. Launches the series.
Example 2. Abandoned Carts
Request:
"Set up a campaign for abandoned carts. Send an email 1 hour after a user adds a product to the cart but doesn't complete the order. In the email, show the list of products in the cart and a 'Complete Order' button. If the user hasn't returned after 24 hours, send a second email with a 10% discount on those products"
The AI agent:
1. Activates the Sendsay webhook for the cart.add event (or uses synchronization with your site via the Sendsay API).
2. Creates two trigger campaigns with delays.
3. In the first email, uses the Sendsay API to retrieve the cart contents (cart.get method).
4. In the second email, dynamically generates a unique promo code via the Sendsay API (promocode.create method) and inserts it into the email.
5. Adds stop logic: if the user made a purchase within an hour, the first email is not sent.
Example 3. Customer Reactivation
Request:
"Find subscribers who haven't opened emails in the last 90 days and send them a reactivation series. First email — 'We miss you' with a survey, second — after a week with a selection of new items, third — after 2 weeks with an exclusive 20% discount. If after the third email the user hasn't opened any, delete them from the database"
The AI agent:
1. Uses the Sendsay API to filter subscribers: subscriber.list with parameter last_open > 90 days.
2. Creates three email campaigns with triggers.
3. Generates the survey text in the first email and sets up response collection via the Sendsay API (survey.create method).
4. Programs the condition: if last_open remains empty after the third email, calls subscriber.delete.
5. Launches the series with automatic database cleanup.
Why Is This Beneficial?
| Aspect | Without Integration (Manual Work) | With Integration (ASI Biont + Sendsay) |
|---|---|---|
| Time to set up a 3-email series | 4-8 hours | 5-15 minutes (including requests) |
| Segmentation | Manual selection by 2-3 parameters | Automatic by 10+ parameters, updated daily |
| A/B testing | Launch, manual analysis, switching | Automatic launch, analysis, switching |
| Personalization | Only name substitution | Dynamic recommendations, promo codes, content |
| Errors | High probability of human errors | Minimal (AI checks logic before launch) |
| Scaling | Requires hiring a marketer | Works autonomously with control via chat |
According to the State of Email Marketing 2025 report (Litmus), companies using AI for email marketing increase revenue by an average of 18% due to improved email relevance. Integrating Sendsay with ASI Biont delivers this effect without development costs and additional personnel.
Important Technical Details
When connecting Sendsay to ASI Biont, the AI agent takes into account the specifics of the service API:
- Request rate limits: The Sendsay API has a limit of 10 requests per second. The AI agent automatically incorporates delays (
time.sleep) into the code to avoid exceeding the limit. - Authorization: An API key is used, passed in the
X-Api-Keyheader. The AI agent validates the key on the first request. - Logging: The AI agent maintains a log of all actions in Sendsay, available for viewing in the chat.
- Security: The API key is stored encrypted and used only for requests to Sendsay. You can revoke the key at any time through your Sendsay account.
How to Get Started?
- Register on Sendsay (if you don't have an account yet) and get an API key in the "Settings" → "API" section.
- Go to the ASI Biont website (asibiont.com) and start a dialogue with the AI agent.
- Write: "Connect Sendsay, here is my key: [your key]".
- After connection confirmation, describe your first task: for example, "Create a welcome series".
- Enjoy automation — the AI will do everything itself.
Conclusion
Integrating Sendsay with the ASI Biont AI agent is not just about saving time. It's an opportunity to scale email marketing without expanding your team: the AI takes over the routine of segmentation, trigger setup, personalization, and testing. At the same time, you retain full control through simple chat requests.
Try the integration right now at asibiont.com — connect Sendsay and set up your first campaign in 5 minutes.
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