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When a marketing team gets a batch of mobile phone numbers, the most common question is: Are these numbers useful? Especially likeICICI Bank has a large user base and a wide coverage, with many customer sources and channels and complex data structures. If it is not screened and tested, rash release may lead to waste of resources, low response rate or even failure to reach. This article will introduce how to use the Digital Planet Number Screening and Detection Platform to batch clean, identify and classify ICICI Bank customers' mobile phone numbers, thereby improving data quality and subsequent marketing efficiency.
Why need to be correctICICI Bank-related mobile phone numbers are filtered?
ICICI Bank’s customer base includes:
lTraditional offline banking users (savings, loans)
lDigital banking users (byApp or website operation)
loverseasNRI Client (Non-resident Indian)
lIndirect customers connected with third-party financial, e-commerce and insurance platforms
Mobile phone numbers collected from different channels often have the following problems:
lData duplication: There is a crossover of multiple channels to collect
lCluttered number segments: local, overseas, and virtual number segments are mixed together
lUnable to recognize whether it is realICICI Bank Users
lThere are a large number of empty numbers, downtime numbers, and low active accounts
Without cleaning, screening, and direct delivery will only cause marketing costs to be lost in vain.
Data problems: unclear source of mobile phone numbers, chaotic number segments, no customer tags
The following are common data pain points:
lInconsistent collection methods, resulting in inconsistent formats, and some numbers have no country codes and digit errors
lRepeated acquisitions occur repeatedly, increasing processing costs
lCan't tell which numbers are actually boundICICI Bank Account
lIt is difficult to track results after marketing, and lack of labeled data to support refined operations
The first step to solving these problems is to conduct structured screening, marking and classification at the mobile phone number level.
How to batch process mobile phone number cleaning on digital planet platform+ICICI Bank activation mark
Digital Planet Number Filtering and Detection Platform provides one-stop mobile number filtering function forICICI Bank data quality optimization scenario supports the entire process from data import to labeling and output.
The core functions supported by the platform include:
lAutomatic cleaning of batch import data: Identify illegal number segments, duplicate numbers, empty numbers, and abnormal format numbers
lDetect whether it isICICI Bank binds users: Determine whether the mobile phone number has been registered and bound to bank services
lIdentify activity: Distinguish between high active, low active, and long-term inactive numbers
lUnified tag output: Mark your mobile phone number as"ICICI registered + high active", "ICICI not registered", "empty number", etc.
lEfficient processing capability: Can be processed quickly100,000+ pieces of data, cleaning and filtering are completed within a few minutes
In this way, you can turn the original messy data into data assets with clear structure, clear labels, and available for delivery.
Cleaning logic detailed explanation: Registration status+User active +Deduplication +Group
The cleaning and screening logic inside the platform mainly includes the following steps:
1. Standardization of formats
lAutomatically complete national codes, remove special characters, and unified into a recognizable mobile phone number format
2. Repeat item removal
lRepeated numbers after multiple data sources are merged automatically
3. Empty number and shutdown number are eliminated
lDetermine whether the number is empty, shutdown orVoIP virtual number, marked as unavailable data
4. ICICI Bank registration testing
lDetermine whether the number is boundICICI Bank service, output registration status tag
5. Activity recognition
lCheck whether the number has been active recently, such as whether it has been logged in and used bank services, whether transactions have occurred, etc.
6. Hierarchical export
lExport data in layer by label: three types of lists: high-quality users, low-quality users, and invalid numbers
Application effect: User portraits are clearer, more accurate placement, and more efficient conversion
Case1: Fintech company account opening marketing
An Indian digital bank hopes to be based onICICI customers carry out account opening incentive activities, and only about 40% of the original mobile phone number data are registered and active users. After filtering through the Digital Planet Platform, redundancy and invalid numbers are eliminated, and the click rate increases to 21% after the registration invitation text message is sent to valid users, and the registration conversion rate increases to 9%.
Case2: Accurate recommendation of insurance platform
A life insurance platform hopes toICICI customers offer insurance discounts, and after screening out highly active ICICI users, they will be pushed accurately, and the user response rate is 3.2 times higher than the original database.
Case3: Credit card application promotion
Third-party credit card platforms will filter outAs the main promotion target, ICICI Bank customers focus on investing in high-active users, and the customer acquisition cost is reduced by 35%.
Conclusion
Cluttered data is the biggest hidden cost for enterprises, especially in the face ofWhen ICICI Bank has a wide coverage and diverse data sources, if I don’t screen and clean it first, it is equivalent to shooting in the dark.
The full process of mobile phone number cleaning provided by the Digital Planet Number Screening and Detection PlatformICICI Bank enables status filtering to help you convert your extensive customer list into available precise data resources.
Clear data brings clear strategies. Sieve it and you will immediately know which numbers can be used and who are worth contacting. Clear the data first, and then the delivery will be accurate and the budget will not be in vain. Now you can try uploading a batch of data to see how different the results are.
Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.
Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.
Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can use the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. Official Businesstelegram:@xq966
(Warm reminder: You must identify the username when searching for the official customer service number on Telegramxq966), you can also verify through the official website:https://www.xingqiu.pro/check.html, confirm whether the business you are in contact with is a planet official
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