Practical answers for bulk number-checking workflows
Learn what each check means, prepare reliable TXT input and keep registration, activity, unknown and exception results in the right context.
These guides document supported workflows and interpretation boundaries. Live fields, task status and final credit deduction are confirmed in the signed-in dashboard.
Cuba WhatsApp Activity Screening: Building Comparable Cohorts from +53 Numbers
Use Cuba’s 2024 eight-digit numbering plan to prepare +53 mobile candidates, run the four-field WS activity task, and compare dated cohorts without converting unknowns into inactive users.
Read guideBouvet Island WhatsApp Registration: Do Not Treat BV as a Calling Code
Model Bouvet Island geography, the real telephone numbering plan and a WhatsApp registration result as separate fields. This guide explains +47 attribution, TXT preparation and responsible reporting for BV-labelled records.
Read guideWhy a Bouvet Island Phone List Is Suspicious: Audit the Country Label Before WhatsApp Screening
Bouvet Island is not an ordinary consumer telephone market. Learn how to separate a BV geographic label from the real number plan, quarantine contradictory records, and decide whether any lawful record belongs in a WS activity task.
Read guideIsle of Man WhatsApp Registration Checks: What a 07624 Result Actually Means
Separate Isle of Man 07624 attribution from WhatsApp registration status, prepare +44 7624 numbers correctly, and interpret the two-field WS registration export without adding unsupported activity or identity claims.
Read guideUK WhatsApp Activity Screening: Building Auditable Cohorts from +44 Lists
Prepare a UK +44 list for WhatsApp activity screening, reconcile mapped numbers, and interpret activity time and active days as dated observations rather than permanent customer labels.
Read guideSwitzerland WhatsApp Activity Screening: Turning +41 Results into Time-Bounded List Segments
Prepare Swiss +41 numbers for a WhatsApp activity task, interpret activity time and active days, and build auditable cohorts without equating online presence with consent or message reads.
Read guideSuriname WhatsApp Demographic Screening After the 2026 +597 Numbering Update
Prepare Suriname +597 records under the updated six-to-eight-digit numbering plan, then interpret the age, gender, picture and mapped-number columns without erasing unknown values.
Read guideSlovak WhatsApp Avatar Screening: Distinguishing Visible, Hidden and Unmatched +421 Records
A Slovakia-focused WhatsApp avatar workflow that separates +421 from Czech +420 data, reconciles mapped numbers, and treats missing profile pictures as unknown rather than unregistered.
Read guideIndonesia WhatsApp Profile Picture Checks: Reading Blank Photos and Business Results Correctly
Learn how to prepare an Indonesian +62 TXT list, reconcile WhatsApp profile-picture results, and separate a blank photo, business-account value and mapped number from unsupported identity assumptions.
Read guideIsle of Man WhatsApp Number Checking: Separating 07624 Data from the Wider +44 Pool
A practical Isle of Man WhatsApp number-checking guide for identifying 07624 records, preparing a TXT list, and interpreting the activity, profile, demographic and business-account columns returned by a full-format task.
Read guideWhat Does a Rwanda +250 WhatsApp Registration Check Mean?
Explain the input, output, unknown states and business boundary of a Rwanda +250 WhatsApp registration check.
Read guideEswatini WhatsApp Avatar Checks: Normalise Current and Legacy Country Names First
Preserve legacy Swaziland and current Eswatini source labels, create a canonical country key, then review WhatsApp avatar visibility.
Read guide60+
supported platforms
220+
countries and regions
98%+
operational checking accuracy
First-party operational figures last reviewed in August 2026. Individual task results depend on input quality and live availability.
