A digital assistant for Messenger communication.
A digital assistant on your Facebook Page. It handles customer queries, qualifies leads from ads, leads the conversation to a resolution or to a sales rep. Holds the brand tone, escalates to the team.
It's not a scripted flow. It's not a lead form.
It's a digital assistant for Messenger.
It leads a conversation instead of filling in a form. It recognizes where the customer came from (organic or from an ad), follows up relevantly, qualifies through dialogue.
What you customize on this assistant.
We don't build templates. We build the Messenger assistant individually based on how your company communicates on Messenger.
Style and tone
How the assistant replies — formal, friendly. Brief or detailed. In your brand's tone.
What it can do
Messages from the Page, leads from ads, post-sale support, qualification. You define the scope.
What it knows
Your services, offering, availability, FAQs and internal rules. Trained on the reality of your company.
Connections
Messenger, CRM, helpdesk and inventory — it works with live data.
Handover to a human
Whatever needs a human, it hands over with the conversation context. Rules to fit you.
Every solution bespoke
Plus anything else — it's up to you what the assistant should know, do and which features it has.
With every assistant you also get a free dashboard — conversation history, statistics, escalation overview and live conversations where your team can take over the chat directly from the overview.
The customer asks about the scope of a service. The assistant confirms what the team will do.
A real conversation on Messenger. A specific answer, not “we'll get back to you”.
Three flows of one channel.
Messenger works in three contexts. The assistant recognizes which flow the customer came from and reacts relevantly.
Queries from the Facebook Page
A customer clicks “Send Message” on your Page. The assistant starts a dialogue, answers the query, escalates when needed.
Ad traffic (Messenger ads)
From an ad the customer goes straight into a conversation with pre-filled context (UTM, campaign, ad set). The assistant knows what the ad targeted and follows up.
Post-purchase support / service requests
Existing customers come back with a question. The assistant finds the purchase history from the CRM and continues in context.
Typical customer interactions.
Three examples of what Messenger handles across industries.
→ From an FB post about a property → a qualified contact with a booked viewing.
→ Query about material → a specific offer from the connected inventory, follow-up from a sales rep.
→ Ad lead → interest qualification → registration or follow-up materials.
What the company stops dealing with.
Specific operational problems of Facebook Messenger.
Messages pile up in the Page Inbox
The team opens Meta Business Suite once a day, half the messages are already irrelevant.
The assistant responds immediately, the team opens the inbox only for escalations.
Ad leads go cold
A click-to-Messenger ad brings interest, but no one responds for 4 hours.
The assistant starts qualifying within seconds, the lead doesn't have time to leave.
No context from the ad
The team doesn't know what the ad prospect is asking about — campaign context is missing.
The assistant knows the UTM, campaign, ad set and follows up relevantly to what the ad promised.
Form-based qualification fails
A lead form has 5 fields, people get stuck on the second.
Instead of a form, the assistant leads a natural conversation. It collects the same data, but as a dialogue.
Customer history is missing
A customer returns after half a year — the team doesn't know what happened.
The assistant finds the previous conversation in the CRM and follows up in context.
Spam vs. a genuine query
The team sorts manually — what's relevant, what's an ad, what's fake.
The assistant classifies and passes only qualified ones to the CRM.
How the assistant is trained on your company.
The team has two tasks: approve the knowledge base and define when the assistant escalates. Training happens with you, not over your head.
Brand tone and language
Messenger is neutral — not as formal as email, not as playful as Instagram. We calibrate it together from your existing messages.
Knowledge base
Products/services, pricing, terms, FAQs, availability. The assistant draws solely from approved sources.
Campaign context
For each active ad campaign we define how the assistant should react to the first message — relevantly to what the ad targeted.
Decision rules
When to offer a discount, when to redirect to a sales rep, when to hand over to technical support.
Examples of good conversations
Training on 30–50 real conversations that the team approves as reference.
Which systems it connects to.
The assistant works with real data, not an empty prompt.
Meta Messenger Platform API
The official interface for Page communication. Webhook for incoming, send API for replies, persistent menu, quick replies.
Meta Ads platform
Reading UTM, campaign context, ad set ID. The assistant knows which ad the prospect came from.
CRM system
Raynet, Anabix, eWay-CRM or a custom API. Creating contacts, storing history, a qualification score.
Inventory / e-commerce
Shoptet, Upgates, ERP — for queries about availability, prices, delivery times.
Team calendar
Google Calendar, Outlook or a custom API. For booking viewings, meetings, consultations. When a system has no API, we solve the connection another way too.
Attribution / analytics
Google Analytics 4, Meta Pixel. Matching the conversation with the customer journey across channels.
What the assistant actually does.
Actions it can perform on its own.
- 01Answers a question from your knowledge base
- 02Qualifies a lead through conversation (budget, timeline, specific need)
- 03Creates a contact in the CRM with tags by source (campaign, organic, ad set)
- 04Sends a link to a product, service or payment page
- 05Books a viewing, meeting or consultation in the connected calendar
- 06Returns specific information from inventory (availability, terms, delivery time)
- 07Sends a quote from the configurator
- 08Hands the conversation to a specific sales rep by CRM assignment or region
- 09Tags the conversation with a qualification score for campaign reporting
When it hands over to a human.
Escalation takes Messenger's specifics into account — it's often the first contact with a sales lead.
A qualified lead
After meeting the qualification criteria, it hands over to a specific sales rep with the full dialogue history.
Customer request
“I want to talk to a sales rep” — immediate transfer.
Complex price calculation
When the standard price list isn't enough, the assistant hands over with a summary of the requirements.
Sensitive topic
Refunds, legal or health questions and other more sensitive situations — a human by default, or a digital assistant by arrangement.
A high-value opportunity
If the qualification score exceeds a threshold or it's a big opportunity, escalation to a senior.
What deployment looks like.
Seven steps from the first consultation to production — 7–10 days.
Consultation
Mapping sources (Page, ads, organic), goals, escalation logic.
Page audit
Analysis of historical conversations from the Page Inbox, identifying patterns.
Configuration
Tone, scope, campaign context, escalation rules.
Training
Knowledge base, approved answers, campaign scenarios.
Integration
Meta API, CRM, inventory/calendar, attribution.
Test operation
Test conversations with the team, calibration on real ads.
Live operation
Launch under your supervision, weekly reviews for the first 4 weeks.
Operational impact we measure from the first week.
An especially important chapter for Messenger, because that's often where ad budget gets attributed.
What the assistant does with ad leads
What the assistant does with ad leads — what's actually measured.
- Response time to the first message
- Qualification rate (how many leads pass)
- Cost per qualified enquiry vs. before deployment
What it does with organic traffic
What it does with organic traffic — what's actually measured.
- Page Inbox response time (Meta measures it publicly)
- Resolved autonomously vs. escalated
- Satisfaction after the interaction
What was actually created
What was actually created — what's actually measured.
- Meetings / bookings / orders
- Value of deals closed from Messenger
- Cross-channel attribution (Messenger → web → purchase)
What the team saved
What the team saved — what's actually measured.
- Hours in Meta Business Suite
- Calls that no longer come in
- Shifting attention to complex cases
Thirty minutes to know whether a Messenger assistant makes sense for you.
No presentation. We'll discuss your communication volume, typical customer situations and how the assistant would fit into your processes.
30 minutes. Online. No commitment.