Zambrite Flow
AGENTIC LAUNCH INTELLIGENCE · BUILT FOR AFRICA

Your customers already decided. Do you know what they chose? 

Your dashboard tells you what happened. Zambrite Flow shows you what is likely to work before you launch—by sending AI agents that behave like your customers through the decision first.

Rehearse a LaunchBook a DemoWatch 35s

Low traffic took away your ability to A/B test. Flow gives it back.

One decision in. A launch recommendation out.

  • 01agent simulation
  • 02price and offer testing
  • 03journey-friction detection
  • 04persuadable-customer detection
It moves between appswebsitesmobile moneyWhatsAppSMSUSSDphone callsbranchesfield agentsIt moves between appswebsitesmobile moneyWhatsAppSMSUSSDphone callsbranchesfield agents

See Flow make the decision.

A fast product overview—from customer simulation to a launch recommendation you can act on.

Video overview00:35

Agent simulation · Price testing · Journey friction · Launch recommendations

35 seconds. Sound on.

  • 01

    The decision

    Know which option to launch, not only which chart moved.

  • 02

    The impact

    See the likely effect on conversion, revenue, retention, and support load.

  • 03

    The persuadables

    Find the customers whose decision your offer can actually change.

  • 04

    The friction

    See the exact step, price, or wording that loses each customer group.

  • 05

    The rollout

    Validate the winner on real customers before you scale it.

Ask the question before the market answers it.

Five decisions. One rehearsal engine.

Choose a launch decision. Flow returns the recommendation, the customers affected, the friction behind it, and the safest next step.

Should we increase our monthly price from K100 to K120?

Rehearse this decision
01 / 05

Introduce K110 for established customers.

Price and package rehearsal

Keep a K100 entry package for new customers and explain the added value before showing the new price.

Flow returns
Recommended moveReasonConfidenceNext test

Different customers need different entry points

Customer response map

Existing frequent users
Introduce K110
New customers
Keep K100 entry
Price-sensitive users
Explain value first
No average hides the customer group you may lose.

Take the recommendation to reality safely.

Controlled rollout

Pilot plan

Start with existing customers, retain the entry package, and compare acceptance by customer group.

Stop rule

Pause if new-customer starts or complaints deteriorate beyond the agreed guardrail.

Human approval required

Illustrative workflows show the shape of a Flow result. Every real engagement carries its evidence, limitations, confidence, and validation plan.

Explore worked examples
The problem01

From Black Box to Dress Rehearsal

Where one-shot decisions go wrong
  • 01

    Your analytics can explain yesterday. They cannot show how tomorrow's price, offer, or journey will land.

  • 02

    Most African businesses never get enough traffic in one clean digital channel for a live A/B test to reach a reliable answer.

  • 03

    A promotion may hand discounts to customers who were already going to buy.

  • 04

    An onboarding flow your team finds obvious may lose first-time customers when the journey jumps from WhatsApp to a form or from USSD to mobile money.

Zambrite Flow turns the black box into a dress rehearsal: watch customer agents choose, hesitate, abandon, and respond before the real launch begins.

Watch02

How Zambian Companies Win with Flow

Your data already knows more than your dashboard shows

Forty-two seconds on what a company receives when it brings us one decision—and why the information you already have is enough to start.

Book a DemoZambrite Flow · 0:42 · sound on
What you get03

What Your Company Gets

Intelligence first. Action your team can defend.

Zambrite Flow closes the gap between knowing what happened and deciding what to do next.

It recommends the option, shows the evidence, and gives your team a controlled rollout plan.

01

A Clear Decision

Not charts. A direct recommendation:

  • Launch it01
  • Change it before launch02
  • Use Variant B03
  • Offer it only to certain customers04
  • Keep the current price05
  • Do not proceed06
Example

Use Onboarding Flow B. It is expected to increase completion, but simplify the document-upload step before launch.

The Expected Business Result

02

The estimated effect on the measures your board actually asks about:

Illustrative
Expected conversion
21% → 29%
Expected abandonment
34% → 19%
Expected monthly revenue
+K420,000
Expected support calls
−12%

Every figure is an estimate carrying a confidence level. None of them is a guarantee.

The Winning Option

03

Submit several alternatives and Zambrite Flow identifies the one likely to perform best—which is not always the one with the highest conversion.

Illustrative
Price A
K90 31% expected conversion
Price B
K100 28% expected conversion
Price C
K110 19% expected conversion
Recommendation

Use K100. It produces the strongest estimated total revenue, even though K90 converts better.

Who It Works For

04

The same experience rarely works for every customer. Zambrite Flow separates them.

Illustrative
Flow B performs best for:
·existing customers
·smartphone users
·customers under 35
Flow B performs poorly for:
·first-time customers
·low-bandwidth users
·customers needing assisted onboarding

Where Customers Struggle, and Why

05

Across apps, websites, chatbots, USSD, and forms, you see:

  • the step where customers stop
  • the questions they misunderstand
  • the information they cannot find
  • the moments that create distrust
  • the steps that take too long
  • the parts that behave differently for different groups
Example

Customers abandon the loan application when asked to upload three documents before seeing whether they may qualify.

The Exact Changes to Make

06

Practical instructions, not observations:

  • move the price explanation earlier
  • reduce onboarding from seven steps to four
  • let customers save and continue later
  • show the delivery charge before checkout
  • replace technical language
  • offer WhatsApp assistance at the difficult step
  • hold the current price for price-sensitive customers
  • send a reminder instead of an unnecessary discount

A Rollout Plan

07

How to introduce the change safely, with the conditions for expanding it and the conditions for stopping.

Illustrative
1Launch Variant B to 10% of customers.
2Keep Variant A as the control.
3Monitor completion, sales, and complaints for 14 days.
4Expand to 50% if conversion improves by at least 6%.
5Stop the rollout if complaints increase by more than 10%.
Example Result04
ILLUSTRATIVE RESULT · ONBOARDING TEST

Which registration flow should we launch?

  • Variant A

    Current seven-step registration process

  • Variant B

    Shorter four-step registration process

Recommendation

Launch Variant B after changing the document-upload step.

Expected result
Registration completion
54%0%
Customer abandonment
32%0%
Expected support requests
0%Reduced by
Where Variant B Works Best
  • returning customers
  • customers already familiar with digital services
  • smartphone users
  • customers with reliable connectivity
Main risk

First-time customers abandoned the flow when asked to upload identity documents before they knew whether they qualified.

Recommended change

Let customers complete basic registration first. Request supporting documents later in the journey.

Recommended rollout
  1. 01Launch Variant B to 10% of customers.
  2. 02Keep Variant A as the control.
  3. 03Measure completion, complaints, and support requests for 14 days.
  4. 04Expand the rollout if the improvement is confirmed.
  5. 05Pause the rollout if complaints or failed registrations increase.
Worked examples05

Three Questions, Three Answers

You bring the question. This is the shape of what comes back.

01Pricing

Should we increase our monthly subscription from K100 to K120?

Zambrite Flow returns
Recommended price
K110
Expected revenue increase
7%
Expected conversion decrease
2%
High-risk segment
new customers
Low-risk segment
existing frequent users
Recommendation

Use K110 for existing customers. Keep a K100 entry package for new customers, and explain the added benefits before showing the new price.

02Onboarding

Which registration journey should we launch?

Zambrite Flow returns
Winner
Flow B
Expected completion
Flow A 54% → Flow B 69%
Main failure
identity-document upload
Recommendation

Let customers complete basic registration first, then request the document later in the journey.

03Marketing

Who should receive our 20% discount?

Zambrite Flow returns
Likely to buy without a discount
18,400
Persuadable by the discount
6,700
Unlikely to respond
11,200
Recommendation

Send the discount only to the 6,700 persuadable customers. Send a normal reminder to those already likely to buy, and leave the low-response group alone. That protects margin and cuts campaign cost.

What you receive06

What You Physically Receive

Every Zambrite Flow test ends with five things your team can open, circulate, and act on.

01

Decision Dashboard

One screen, seven answers:

  • recommended option
  • expected impact
  • winning customer segments
  • losing customer segments
  • main problems
  • confidence level
  • recommended next step
  • 02

    Executive Results Report

    A downloadable report management can approve a decision from. It answers:

    • What did we test?
    • What won?
    • What result should we expect?
    • Who will be affected?
    • What are the risks?
    • What should we change?
    • Should we launch?
  • 03

    Customer Segment Report

    How each customer group responded, so an average never hides the group you are about to lose.

  • 04

    Journey and Friction Report

    A visual map of where customers succeeded, hesitated, struggled, or abandoned—step by step.

  • 05

    Implementation Plan

    The exact product, design, price, message, journey, or campaign changes to make, in the order to make them.

For ongoing engagements, the same recommendations are available through an API, a live dashboard, or a scheduled export into the systems your team already uses.

The method07

How the Simulation Works

Who

A population that behaves like your customers

Every test runs against simulated customers carrying the attributes that change behaviour in your market—not a single average buyer.

Each one holds a full profile:

  • income band
  • location, urban or rural
  • language and literacy
  • device and connectivity
  • preferred channel
  • payment method
  • price sensitivity
  • purchase history
  • digital experience
  • trust and risk attitude
Where

The journey they actually use

The decision is tested inside the experience your customers meet, on the channel they meet it on.

Simulations run across:

  • websites
  • mobile apps
  • USSD menus
  • WhatsApp and SMS
  • chatbots and support scripts
  • call centres, branches, and agents
What

The decision under test

Bring the options you are choosing between. Zambrite Flow runs each one past the same population and compares them.

Test any of these:

  • a price, bundle, or payment plan
  • an offer or promotion
  • a campaign message
  • a registration or checkout flow
  • a chatbot or support script
  • a retention or win-back journey
Simulated customers08

Where the Simulated Customers Come From

A population you can inspect, not a black box

Every simulated customer is assembled from evidence, and every attribute records where it came from. Where there is no evidence, the attribute stays unknown instead of being invented.

  • 01source

    Your Own Customer Data

    Transactions, registrations, support tickets, and journey logs set the shape of the population: who your customers are, what they buy, and how they behave today.

  • 02source

    Consented Customer Research

    Surveys, chatbot interviews, and field research add first-person answers—price sensitivity, trust, intent, and reasons—that behavioural data alone cannot explain.

  • 03source

    Population Structure

    Public statistics on income, location, language, connectivity, and device ownership keep the population representative of the market you sell into, not only the customers you already reach.

  • 04source

    Behavioural Evidence

    Observed patterns from your own channels—where people stop, retry, call, or abandon—calibrate how simulated customers behave under friction.

What We Never Invent

Stated limits
  • attributes your data does not support
  • the identity of any real, named customer
  • personal information collected without consent
  • confidence we do not have
Process09

How Zambrite Flow Works

Six steps from a question your team is arguing about to a recommendation you can sign off on.

06steps
  1. 01

    Bring a Decision

    Choose what you want to test.

    For example:

    • Should we increase the price?
    • Which offer should we launch?
    • Which onboarding flow is better?
    • Which message is more convincing?
    • Where are customers leaving checkout?
    • Which users should receive a promotion?
    • How can we reduce churn?
  2. 02

    Build the Population

    Bring the customer and business data you already have. Zambrite Flow uses it to build a simulated population that matches your customer base.

    Data can come from:

    Your data does not need to be perfect or stored in one system.

    • Excel and CSV files
    • CRM systems
    • websites and mobile apps
    • POS systems
    • sales and transaction records
    • payments and mobile money
    • customer-support systems and call centres
    • campaign platforms
    • WhatsApp, SMS, and USSD journeys
    • surveys and feedback forms
  3. 03

    Fill the Gaps

    Where your data shows what happened but not why, Zambrite Flow asks customers directly and feeds the answers back into the population.

    Collect insight through:

    • online and in-app surveys
    • website feedback
    • chatbot interviews
    • WhatsApp and SMS surveys
    • USSD surveys
    • QR-code surveys
    • post-purchase questions
    • cancellation surveys
    • call-centre questionnaires
    • field-agent data collection
  4. 04

    Run the Test

    Each option is run past the full population inside the journey your customers actually use.

    Every simulated customer produces a trace: what they chose, where they hesitated, where they gave up, and what would have changed their mind.

  5. 05

    Receive the Decision

    Your report shows:

    • the recommended option
    • expected business impact
    • customer groups most likely to respond
    • customer groups at risk
    • the friction points that cost you the most
    • exact changes to make
    • confidence level
    • recommended rollout plan
  6. 06

    Validate and Improve

    Launch the winning option to a controlled group of real customers.

    Compare the real result with the predicted one. Every validated test sharpens the population for the next decision.

Scope10

What You Can Test

7 areas · 49 decisions

Pricing and Offers

1/7
Test
  • price increases
  • discounts
  • bundles
  • loyalty rewards
  • subscription packages
  • delivery charges
  • payment plans
  • promotional offers
What you receive

The recommended price or offer, the expected conversion and revenue effect, the segments that walk away, and the safest way to introduce the change.

Your data11

Bring Your Messy Data

Your data does not need to be perfect

Customer data is often spread across different files and systems.

  • Sales may be in Excel.
  • Payments may be stored in another platform.
  • Customer details may be in a CRM.
  • Website, app, WhatsApp, support, and survey information may all be separate.

Zambrite Flow organises and connects this information so it can support a decision you can defend.

We help identify:
  • duplicate customer records01
  • missing information02
  • inconsistent phone numbers03
  • different names for the same product04
  • incomplete transaction records05
  • customers appearing in multiple systems06
  • important data that is not yet being collected07
Discuss Your Data
Prediction12

Intelligence Now. Agentic Action Next.

Today, Zambrite Flow tells you which price, flow, offer, or message is most likely to win. With Gemini and Gemma, the next layer will let agents evaluate intent, discount sensitivity, and timing for each customer, then recommend the next best action—with human approval before anything reaches a customer.

  • 01

    Who is likely to buy?

    See the estimated probability of a customer making a purchase within a selected period.

  • 02

    What are they likely to buy?

    Identify the product, service, package, or subscription that may be most relevant.

  • 03

    When are they likely to buy?

    Estimate the likely purchase period or contact window.

  • 04

    Who may churn?

    Find customers whose activity, spending, visits, or engagement is declining.

  • 05

    Where may users abandon?

    Identify likely drop-off points across websites, apps, forms, checkout, USSD, onboarding, and support journeys.

  • 06

    What should we do next?

    Recommend the most suitable:

    • product
    • offer
    • message
    • channel
    • time
    • customer-service action
    • sales follow-up

Note — Zambrite Flow works in probabilities and evidence. It does not present customer behaviour as guaranteed.

Channels13

Africa’s Customer Journey Is Not One Funnel

It moves between apps, websites, mobile money, WhatsApp, SMS, USSD, phone calls, branches, and field agents.

  • Zambrite Flow plays nicely with the stack your customers already use.
  • It moves between apps
  • websites
  • mobile money
  • WhatsApp
  • SMS
  • USSD
  • phone calls
  • branches
  • field agents

Bring Excel or CSV, CRM records, MTN MoMo or Airtel Money journeys, WhatsApp Business, a USSD gateway, Hubtel, or your existing app. No rebuild is required to start modelling the decision.

Industries14

Industry Solutions

Commerce & Retail

Evaluate discovery, pricing, checkout, recommendations, customer support, and retention experiences.

Useful for
  • supermarkets
  • retail chains
  • e-commerce stores
  • wholesalers
  • distributors
  • pharmacies
  • restaurants
  • delivery businesses
  • agro-retailers
  • social-commerce sellers
Test
  • product discovery01
  • price changes02
  • promotions03
  • loyalty offers04
  • online checkout05
  • mobile-money payment06
  • delivery versus collection07
  • product recommendations08
  • repeat-purchase campaigns09
  • customer returns10
Receive

The winning price or promotion, the expected sales impact, the checkout problems, the segments that respond, and a recommended rollout.

Research15

Research That Explains Why

Behavioural data tells you what happened. Research tells you why.

A customer may abandon checkout because:
  • 01the price was too high
  • 02the delivery charge appeared too late
  • 03the payment method was unavailable
  • 04the instructions were unclear
  • 05the customer did not trust the process
  • 06the customer was only comparing products

Behaviour alone cannot separate these. Direct answers can, and they make every test that follows more accurate.

Use customer research to understand:
  • 01price sensitivity
  • 02product preferences
  • 03purchase intent
  • 04trust concerns
  • 05satisfaction
  • 06reasons for churn
  • 07reasons for abandonment
  • 08unmet needs
  • 09product understanding
  • 10preferred communication channels

Collected through the channels your customers already use.

Why Flow16

Why Zambrite Flow?

7 reasons
  • 01

    Agentic Launch Intelligence

    AI agents rehearse the decision and return a recommendation your team can act on.

  • 02

    Built for Low-Traffic Decisions

    Price changes, launches, and one-shot decisions do not wait for statistical significance.

  • 03

    Persuadables, Not Blunt Segments

    See who needs the offer, who would buy anyway, and who is unlikely to respond.

  • 04

    Model Once. Test Repeatedly.

    Build the customer model once, then reuse it across prices, offers, campaigns, and journeys.

  • 05

    Evidence, Not Enrichment Theatre

    See what the simulated population is made of, where every attribute came from, and what remains unknown.

  • 06

    Designed for Africa’s Real Stack

    Test apps, websites, mobile money, WhatsApp, SMS, USSD, call centres, branches, and agents.

  • 07

    Intelligence That Learns from Reality

    Every test ends with a plan to check the prediction against real customers.

Questions17

Frequently Asked Questions

Still deciding what to bring to the first test?

Book a Demo

Start here

Your next launch deserves a dress rehearsal. 

Bring the price, offer, campaign, product, or journey you are choosing between. Let customer agents encounter it first.

One decision in. A launch recommendation out.

Find out:
  • 01which option is most likely to work
  • 02what business result to expect
  • 03which customers respond, and which do not
  • 04where customers struggle
  • 05what to change
  • 06how to launch safely

Book a working session

What decision are you trying to make?

We use this to prepare a useful demo, not a generic sales call.

Data you already have

We will only contact you about this request.

which option is most likely to workwhat business result to expectwhich customers respond, and which do notwhere customers strugglewhat to changehow to launch safelywhich option is most likely to workwhat business result to expectwhich customers respond, and which do notwhere customers strugglewhat to changehow to launch safely
Services index18

What we do, and who we do it for

Every engagement runs out of Lusaka and covers customers across Zambia.

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