- What Lead Collection Means in Aimogen
- How Lead Collection Is Triggered
- No Hidden Forms or Silent Collection
- Lead Collection vs Forms
- What Happens to Collected Data
- Frontend vs Backend Lead Collection
- Logged-In Users vs Guests
- Validation and Accuracy
- Privacy and GDPR Considerations
- Common Use Cases
- Common Mistakes
- Best Practices
- What Lead Collection Does Not Do
- Summary
Chatbot Lead Collection allows an Aimogen chatbot to intentionally collect contact or identification data from users during a conversation. This is not automatic, implicit, or hidden behavior. Leads are collected only if you explicitly configure the chatbot to do so, and only through conversational logic.
Lead collection is a capability, not a default feature.
What Lead Collection Means in Aimogen #
Lead collection means the chatbot can:
- ask users for specific information
- receive that information via chat
- store or forward it according to configuration
Typical lead data includes:
- email address
- name
- phone number
- company name
- custom text fields
Nothing is collected unless the chatbot is instructed to ask for it.
How Lead Collection Is Triggered #
Lead collection is instruction- and rule-driven, not form-driven.
It usually happens through:
- persona instructions
- conversation rules
- trigger-based workflows
- explicit chatbot prompts
Examples:
- asking for an email before continuing support
- requesting contact details to send a quote
- collecting a name for personalization
- qualifying a lead before escalation
There is no automatic scraping or background data capture.
No Hidden Forms or Silent Collection #
Aimogen does not:
- inject hidden form fields
- auto-capture user data
- infer personal data
- scrape browser or account details
- collect data without user input
All lead data is provided voluntarily by the user through chat messages.
Lead Collection vs Forms #
Chatbot lead collection is conversational, not structural.
Differences from forms:
- no fixed field order
- no required schema unless you enforce one
- data arrives as part of chat flow
- collection can be conditional
This makes it more flexible but also requires careful design.
What Happens to Collected Data #
What happens next depends on your configuration.
Possible outcomes include:
- storing the data internally
- logging it as part of the conversation
- sending it via integrations
- triggering workflows
- displaying it to admins
Aimogen does not automatically:
- send emails
- create users
- add contacts to CRMs
- subscribe users to lists
Those actions require explicit setup or integrations.
Frontend vs Backend Lead Collection #
Frontend Chatbots #
On the frontend:
- lead collection affects real users
- GDPR and consent rules apply
- privacy disclosures are required
Frontend lead collection should always be intentional and documented.
Backend Chatbot (Playground) #
In the backend:
- lead collection is typically used for testing
- data is usually irrelevant or dummy
- no consent gating is applied
Backend collection should not be treated as production data.
Logged-In Users vs Guests #
For logged-in users:
- some identity context may already exist
- you should avoid asking for redundant data
For guests:
- all lead data must be explicitly requested
- persistence may rely on session or cookies
Do not assume identity unless you have it.
Validation and Accuracy #
Aimogen does not validate lead data automatically.
This means:
- email formats are not guaranteed
- phone numbers may be invalid
- users can provide fake information
If validation is required, it must be implemented through:
- rules
- workflows
- external systems
Privacy and GDPR Considerations #
Lead data is personal data.
You are responsible for:
- informing users why data is collected
- enabling consent if required
- defining retention policies
- honoring deletion requests
Aimogen provides the mechanism, not the legal framework.
Never collect:
- sensitive personal data
- payment information
- health or biometric data
unless you fully understand the legal implications.
Common Use Cases #
Chatbot lead collection is commonly used for:
- contact requests
- sales qualification
- support escalation
- newsletter signups
- quote requests
- booking follow-ups
It works best when tied to a clear user benefit.
Common Mistakes #
- collecting data without explaining why
- asking too early in the conversation
- requesting too much information
- storing leads without a plan
- ignoring consent requirements
- assuming chatbot data is “informal”
Chatbot leads are still leads.
Best Practices #
- explain why you are asking for data
- collect the minimum necessary
- ask one piece of data at a time
- confirm the information back to the user
- avoid aggressive lead capture
- document behavior in your privacy policy
A helpful chatbot converts better than a pushy one.
What Lead Collection Does Not Do #
Lead collection does not:
- guarantee conversions
- validate user identity
- create CRM records automatically
- replace forms in all cases
- bypass privacy laws
It is a conversational input mechanism, nothing more.
Summary #
Chatbot Lead Collection in Aimogen allows chatbots to intentionally request and receive user information through conversation. It is fully opt-in, instruction-driven, and configurable per chatbot. Nothing is collected automatically, and all privacy, consent, validation, and storage responsibilities remain with the site owner. Used carefully, lead collection turns chatbots into effective, user-friendly entry points for sales and support workflows.