Test a price, offer, product, campaign, or customer journey before exposing it to real customers.
Bring one decision. Leave with a recommendation.
Zambrite Flow gives you:
Know which option to launch, not only how the numbers moved.
See the likely effect on conversion, revenue, retention, and support load.
See who the decision works for—and who it works against.
Get the specific step, price, or wording to fix first.
Validate the winner on real customers before you scale it.
A price change reaches every customer at once, and you cannot take it back.
Most businesses never get enough traffic for a live A/B test to reach a reliable answer.
A promotion may hand discounts to customers who would have bought anyway.
An onboarding flow your team finds obvious may lose first-time customers at the document-upload step.
A checkout change may lift completion for one payment method and break it for another.
Zambrite Flow gives you a dress rehearsal: test the decision before it costs you anything, and launch the option you already know works.
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.
Zambrite Flow does not only show you how customers might behave.
It tells you what decision to make next.
Not charts. A direct recommendation:
Use Onboarding Flow B. It is expected to increase completion, but simplify the document-upload step before launch.
The estimated effect on the measures your board actually asks about:
Every figure is an estimate carrying a confidence level. None of them is a guarantee.
Submit several alternatives and Zambrite Flow identifies the one likely to perform best—which is not always the one with the highest conversion.
Use K100. It produces the strongest estimated total revenue, even though K90 converts better.
The same experience rarely works for every customer. Zambrite Flow separates them.
Across apps, websites, chatbots, USSD, and forms, you see:
Customers abandon the loan application when asked to upload three documents before seeing whether they may qualify.
Practical instructions, not observations:
How to introduce the change safely, with the conditions for expanding it and the conditions for stopping.
Current seven-step registration process
Shorter four-step registration process
Launch Variant B after changing the document-upload step.
First-time customers abandoned the flow when asked to upload identity documents before they knew whether they qualified.
Let customers complete basic registration first. Request supporting documents later in the journey.
You bring the question. This is the shape of what comes back.
Should we increase our monthly subscription from K100 to K120?
Use K110 for existing customers. Keep a K100 entry package for new customers, and explain the added benefits before showing the new price.
Which registration journey should we launch?
Let customers complete basic registration first, then request the document later in the journey.
Who should receive our 20% discount?
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.
Every Zambrite Flow test ends with five things your team can open, circulate, and act on.
One screen, seven answers:
A downloadable report management can approve a decision from. It answers:
How each customer group responded, so an average never hides the group you are about to lose.
A visual map of where customers succeeded, hesitated, struggled, or abandoned—step by step.
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.
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:
The decision is tested inside the experience your customers meet, on the channel they meet it on.
Simulations run across:
Bring the options you are choosing between. Zambrite Flow runs each one past the same population and compares them.
Test any of these:
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.
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.
Surveys, chatbot interviews, and field research add first-person answers—price sensitivity, trust, intent, and reasons—that behavioural data alone cannot explain.
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.
Observed patterns from your own channels—where people stop, retry, call, or abandon—calibrate how simulated customers behave under friction.
Six steps from a question your team is arguing about to a recommendation you can sign off on.
Choose what you want to test.
For example:
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.
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:
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.
Your report shows:
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.
The recommended price or offer, the expected conversion and revenue effect, the segments that walk away, and the safest way to introduce the change.
Customer data is often spread across different files and systems.
Zambrite Flow organises and connects this information so it can support a decision you can defend.
For companies with historical customer data, Zambrite Flow can help answer:
See the estimated probability of a customer making a purchase within a selected period.
Identify the product, service, package, or subscription that may be most relevant.
Estimate the likely purchase period or contact window.
Find customers whose activity, spending, visits, or engagement is declining.
Identify likely drop-off points across websites, apps, forms, checkout, USSD, onboarding, and support journeys.
Recommend the most suitable:
Note — Zambrite Flow works in probabilities and evidence. It does not present customer behaviour as guaranteed.
Customers do not interact with every business in the same way.
Zambrite Flow tests the channels your customers actually use, not the ones your product team prefers.
Evaluate discovery, pricing, checkout, recommendations, customer support, and retention experiences.
The winning price or promotion, the expected sales impact, the checkout problems, the segments that respond, and a recommended rollout.
Behavioural data tells you what happened. Research tells you why.
Behaviour alone cannot separate these. Direct answers can, and they make every test that follows more accurate.
Collected through the channels your customers already use.
Receive a clear recommendation your team can act on.
Price changes, launches, and one-shot decisions do not wait for statistical significance.
See which customers a decision works for, and which it costs you.
Start with the files, systems, and customer information already in your business.
See what the simulated population is made of and where every attribute came from.
Test apps, websites, mobile money, WhatsApp, SMS, USSD, call centres, branches, and agents.
Every test ends with a plan to check the prediction against real customers.
Still deciding what to bring to the first test?
Book a DemoTest your next price, offer, campaign, product, or customer journey before committing to a full rollout.
Start with one product, price, campaign, or customer journey.