New user credit availableContact support
Viber

Viber vs WhatsApp Number Checking: How to Design an Eastern Europe Pilot

Design an Eastern Europe Viber/WhatsApp pilot with preregistered hypotheses, shared sampling, randomized channel assignment and sequential stop rules—without double-messaging people.

Updated 9/10/20263 minBy AppShai Research

Article summary

Design an Eastern Europe Viber/WhatsApp pilot with preregistered hypotheses, shared sampling, randomized channel assignment and sequential stop rules—without double-messaging people.

An Eastern Europe Viber-versus-WhatsApp pilot should not message the same people on both channels. Its core is a hypothesis, sample, metric and stop rule written before sending. Number checking creates platform observations, random assignment reduces selection bias, and permission plus user preference controls who can enter the experiment.

Preregister a falsifiable hypothesis

For example: “Among recent voluntary inquiries in Romania who did not choose a channel, one human follow-up on Viber versus WhatsApp changes qualified reply rate by at least the predefined threshold.” Select the primary outcome and minimum meaningful difference in advance. Do not switch to clicks or a favorable country after seeing results.

Define inclusion and exclusion

Rule Example Reason
Include Traceable source, same purpose, current permission Lawful comparable cohort
Exclude Opt-out, current complaint, unknown language Protect customer
Set aside Mapping collision, bad format, platform unknown Do not force into a group
Honor choice Explicit Viber or WhatsApp preference Not randomized

Observe registration on the same phone set

Run Viber Registration and WhatsApp Registration against the same frozen normalized sample. Both corresponding AIPUSH tasks return phone and registration result. Preserve unknown, error and no-registration-observed separately instead of folding the first two into a negative.

Randomize channel, never permission

Random assignment is possible only when registration is observed on both platforms, no preference exists and both channels fit the original permission. Each contact enters one send arm. Consider a no-send or business-as-usual group if the organization needs an incremental estimate.

Keep treatment consistent

Control Method Bias if ignored
Content Same value proposition and local language Copy effect looks like channel effect
Sender Teams with equivalent skill Human ability contaminates outcome
Time Balance weekday and hour Timing bias
Follow-up Same steps and interval Frequency changes complaints

Use qualified reply as the primary outcome

A qualified reply advances service, clarifies need or explicitly declines. Delivery, opening and platform activity are not business success. Secondary outcomes include resolution, opt-out, complaint, human time and cost per useful conversation. Negative outcomes appear beside positive ones.

Apply sequential stop rules

At predefined sample points, review safety signals. Stop an arm immediately when complaints or opt-outs exceed a threshold. End for futility when the minimum meaningful difference is no longer plausible. Do not inspect daily and declare victory at a random lead.

Keep platform-specific fields out of the common endpoint

Viber Activity may include mid and offline time; WhatsApp Activity may include activity time, active days and mapped phone. Those can support platform-specific diagnostics, but the pilot’s main result should use customer-conversation outcomes measured fairly on both sides.

Handle crossover and spillover

If a customer assigned to Viber voluntarily moves to WhatsApp, record crossover and continue serving them. Analyze the primary result by original assignment and describe actual channel separately. Customer experience outranks statistical purity.

The result may not be one winner

Evidence may support routing by country, source or user choice, or show no incremental value for either platform. Preserve the sample flow, exclusions and uncertainty. A small win cannot be published as “Eastern Europe prefers one platform.”

A reproducible pilot package

Archive the preregistration, TXT hash, both task schemas, random seed, message versions, stop events and analysis code. A new market may reuse the experimental discipline, but it needs a new hypothesis and local content. Methods transfer; conclusions do not.

Join AppShai

Connect global social platforms
Work with the audience you need

Sign up / Log in
WhatsApp
WhatsApp
Telegram support
Telegram support
Telegram channel
Telegram channel