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Facebook Messenger customer communication

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.

Book a free consultation Send a message
Page enquiries + ad leads Trained on your company Connected to Meta Business
What's different

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 get

What changes in your company.

CUSTOMER

They ask straight from your page

No looking for a contact, no moving over to the website. They write in Messenger and get the answer where they already are.

YOUR TEAM

You don't watch another inbox

Messenger, Instagram and the web run on one body of knowledge and one set of rules. Your team has one overview, not three.

YOU

Your ads don't end in an unread message

When people from your campaigns ask, they get an answer right away — not long after they stopped caring.

Bespoke

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.

COMMUNICATION

Style and tone

How the assistant replies — formal, friendly. Brief or detailed. In your brand's tone.

CAPABILITIES

What it can do

Messages from the Page, leads from ads, post-sale support, qualification. You define the scope.

KNOWLEDGE

What it knows

Your services, offering, availability, FAQs and internal rules. Trained on the reality of your company.

INTEGRATIONS

Connections

Messenger, CRM, helpdesk and inventory — it works with live data.

ESCALATION

Handover to a human

Whatever needs a human, it hands over with the conversation context. Rules to fit you.

AND ANYTHING ELSE

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, escalated and live conversations where your team takes over the chat directly.

How it looks in operation

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”.

💬
CleanPro cleaning service
Messenger · Active now
CustomerHello, can you also do a post-renovation clean? There is quite a lot of building dust.
AssistantI will check right away what the team can arrange for you.
🧹 Checking the scope of the service…
AssistantYes, we do post-renovation cleaning. The team removes building dust, washes the windows and cleans the floors — our own equipment and materials are included.
I want a no-obligation viewing Send overview
AssistantGreat. Let us arrange a no-obligation visit so the team can see the space and prepare an exact plan.
Scope verified Overview sent
Channel context

Three flows of one channel.

Messenger works in three contexts. The assistant recognizes which flow the customer came from and reacts relevantly.

CHANNEL 01

Queries from the Facebook Page

A customer clicks “Send Message” on your Page. The assistant starts a dialogue, answers the query, escalates when needed.

CHANNEL 02

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.

CHANNEL 03

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.

Real conversations

Typical customer interactions.

Three examples of what Messenger handles across industries.

🏘️ Real estate
CUSTOMERHello, I saw the flat in Brno-Lesná. Is it still available? And roughly what would the agency fee be?
ASSISTANTHello. The flat in Lesná (2+kk, 56 m²) is still available. Our standard fee is one month's rent + VAT. I can book you a viewing — Tomáš is free tomorrow at 16:00 or on Thursday morning, which suits you better?

→ From an FB post about a property → a qualified contact with a booked viewing.

🏗️ Construction
CUSTOMERDo you have the RAKO Sandstone 30x60 beige tile in stock? We need 45 m²
ASSISTANTWe do — currently 67 m² in stock in Brno, delivery within 2 days. For orders over 40 m² a volume discount applies. Shall I prepare a tailored quote including delivery? Just send me your postcode.

→ Query about material → a specific offer from the connected inventory, follow-up from a sales rep.

🎓 Education
CUSTOMERHi, I saw the ad for the UX design course, can you tell me more about the dates?
ASSISTANTHi. The spring intake starts on 15 March and ends on 30 May, 12 weeks. The course is hybrid (in person in Prague + online), once a week for 3 hours, Wednesdays 18:00–21:00. Shall I send you the syllabus with pricing and details, or register you straight away?

→ Ad lead → interest qualification → registration or follow-up materials.

What goes away

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 to escalate.

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.

The assistant leads a natural conversation and collects the same data 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.

Training

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.

PILLAR 01

Brand tone and language

Messenger is neutral — not as formal as email, not as playful as Instagram. We calibrate it from your messages.

PILLAR 02

Knowledge base

Products/services, pricing, terms, FAQs, availability. The assistant draws solely from approved sources.

PILLAR 03

Campaign context

For each active ad campaign we define how the assistant should react to the first message — relevantly to what the ad targeted.

PILLAR 04

Decision rules

When to offer a discount, when to redirect to a sales rep, when to hand over to technical support.

PILLAR 05

Examples of good conversations

Training on 30–50 real conversations that the team approves as reference.

Integration

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. Without an API, we connect it another way.

Attribution / analytics

Google Analytics 4, Meta Pixel. Matching the conversation with the customer journey across channels.

Actions

What the assistant actually does.

Actions it can perform on its own.

  1. 01Answers a question from your knowledge base
  2. 02Qualifies a lead through conversation (budget, timeline, specific need)
  3. 03Creates a contact in the CRM with tags by source (campaign, organic, ad set)
  4. 04Sends a link to a product, service or payment page
  5. 05Books a viewing, meeting or consultation in the connected calendar
  6. 06
  7. 07
  8. 08
  9. 09
Escalation

When it hands over to a human.

Escalation takes Messenger's specifics into account — it's often the first contact with a sales lead.

Trigger 01

A qualified lead

After meeting the qualification criteria, it hands over to a specific sales rep with the full dialogue history.

Trigger 02

Customer request

“I want to talk to a sales rep” — immediate transfer.

Trigger 03

Complex price calculation

When the standard price list isn't enough, the assistant hands over with a summary of the requirements.

Trigger 04

Sensitive topic

Refunds, legal or health questions and other more sensitive situations — a human by default, or a digital assistant by arrangement.

Trigger 05

A high-value opportunity

If the qualification score exceeds a threshold or it's a big opportunity, escalation to a senior.

Deployment

What deployment looks like.

Seven steps from the first consultation to production — 7–10 days.

Consultation

~ 60 min

Mapping sources (Page, ads, organic), goals, escalation logic.

Page audit

1–2 days

Analysis of historical conversations from the Page Inbox, identifying patterns.

Configuration

2 days

Tone, scope, campaign context, escalation rules.

Training

3 days

Knowledge base, approved answers, campaign scenarios.

Integration

2 days

Meta API, CRM, inventory/calendar, attribution.

Test operation

2 days

Test conversations with the team, calibration on real ads.

Live operation

Day 10

Launch under your supervision, weekly reviews for the first 4 weeks.

Operational impact

Operational impact we measure from the first week.

An especially important chapter for Messenger, because that's often where ad budget gets attributed.

LAYER 01 — AD PERFORMANCE

What the assistant does with ad leads

  • Response time to the first message
  • Qualification rate (how many leads pass)
  • Cost per qualified enquiry vs. before deployment
LAYER 02 — PAGE COMMUNICATION

What it does with organic traffic

  • Page Inbox response time (Meta measures it publicly)
  • Resolved autonomously vs. escalated
  • Satisfaction after the interaction
LAYER 03 — CONVERSION

What was actually created

  • Meetings / bookings / orders
  • Value of deals closed from Messenger
  • Cross-channel attribution (Messenger → web → purchase)
LAYER 04 — TEAM

What the team saved

  • Hours in Meta Business Suite
  • Calls that no longer come in
  • Shifting attention to complex cases
Strategic consultation

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.

Book an appointment Write a message

30 minutes. Online. No commitment.

Where next
Common questions

What you ask before you decide.

The five we hear most often — including the awkward ones.

Usually yes — and that is fine. We introduce the assistant as an assistant, never as Jana from support; pretending to be human always backfires. What a customer notices immediately is the difference between a specific answer in seconds and waiting until morning. Tone, the way it addresses people and even sentence length are tuned to the way you speak, so it sounds like your company.
This is the most common worry and we take it seriously. The assistant answers from your approved knowledge base and your systems, not from the internet. When it has no basis for something, it says so and hands the conversation to a person with the full context. Any answer that is off we fix within two working days and do not charge for it. And before the assistant goes anywhere near your customers, it has to pass a set of test questions you put together.
No, and that is not the goal. The assistant takes the routine: where the order is, what the opening hours are, how to return something. Your people get to the work where judgement matters — the harder cases and the customers who matter most. The workload rarely shrinks; it moves to what is worth more.
A specific operation is the rule, not the exception — which is why we do not build templates. We start by learning how things work at your place: your procedures, your exceptions, your tone and above all what must never happen. We connect the assistant to the systems where your real data lives, so it does not answer in general terms but the way you would. And if the consultation shows it does not make sense for you yet, we will tell you straight.
We quote on your own numbers: a one-off fee for building and deploying, then a fixed monthly fee for running it. And the risk is ours — the assistant does not go live until it passes a test made up of your own questions, we watch the conversations daily through the first month and keep tuning, and if it still does not hold the level we agreed on, we refund the full build fee and the first month of operation.