LnData

DMP - Data Management Platform

The core concept of DMP is to record the footprint of every consumer left on differing points of interaction. These footprints allow classification of consumers based on specialties and the tailoring of promotional strategies to different consumer classifications or sending such relevant data to other departments and business partners.

LnData DMP Key Points :

It can collect data from multiple points of interaction even in circumstances adverse to data collection in addition to collating data gathered by other parties.
It can construct diverse tags and specialities from data analysis.
It can classify consumers with the same specialties and tags to form unified demographics.
It can analyze the points of interaction and relevant data for designated demographics to judge the efficacy of pre-existing policies or evaluate the hypothetical effectiveness of case policies not yet implemented.
It can deliver specific demographic groups and relevant data to appropriate groups to facilitate accurate advertisement placement.

Relevant consumer touchpoint data collection :

Data Market

Google Chrome announced that third-party cookies would gradually phase out, and with a series of privacy policy changes such as iOS 14 and EU GDPR, the data validity in the past has been completely reversed, and the model of digital advertising will be fundamentally changed. This is why LnData proposes Data Market as a whole new solution to cope with the changes one step ahead. On LnData's Data Market platform, advertisers can purchase data with customized requirements, and advertise directly to specific audiences. And vertical media with first-party data can also monetize data through Data Market, turning intangible data into real income.

Two main services of Data Market:

Purchasing customized audience data through multiple tags.
Data monetization, turning intangible data into real income.

Tagging System

A tagging system, trained through models, forms the basis for group differentiation via tags achieved through Big Data Analytics and provides companies and brands the needed consumer tagging capabilities. After collecting raw data, the Tagging System can assign tags to said raw data through scientific investigation of several metrics such as webpage visit frequency; amount of disposable income; preference of purchased products and more. Simultaneously, discussions can also be held between enterprises and brands to specifically target consumer activity for tagging. The Tagging System will craft a tagging benchmark most beneficial for clients depending on their needs.

LnData Tagging System Key Points :

Tagging System possesses automatic tagging capabilities that integrates multiple tagging methods and avenues while adjusting its tagging model based on the client company’s needs.
Tagging System can integrate with DMP / CDP to effectively classify consumer demographics.
Tagging System collects user data through natural linguistic analysis and adjusts tagging standards in accordance to client needs -- providing valuable and reliable consumer tags.

LnData assist client companies in gauging consumer behaviors through comprehensive monitoring and integration of data. Additionally, the Tagging System also provides clients with accessible and easily understood tagging data and analysis to allow easy management of first-party data to understand the specialties of client companies consumers and brand loyalists, enabling them to develop further.

Relevant consumer touchpoint data collection :

CDP（Customer Data Platform）

The Customer Data Platform, or CDP for short, is an advanced data management tool to effortlessly compile first-party data, consumer behavior records and data-dense CRM tags. It manages data by treating different consumer data and tagging outlines as the cores in its management, and improves advertisement efficacy as well as sales performance. Client corporations can compile CRM data through CDP to assist themselves in accurately gauging consumer population, online sales data, and managing official websites and mobile apps. As long as data is consumer related and can be collected by client companies, CDP can act as a high efficiency management and compilation service.

CDP Key Points :

Consumer data forms the core of CDP’s data management, allowing the system to target specific tagged consumer demographics and record defining characteristics for clients such as consumer ID; name; email address; sex; age; profession.
Through cross-avenue and cross-media data integration, CDP can assist client companies in locking down targeted consumer demographics and precisely execute marketing campaigns that promotes appropriate products and plans to receptive customers.
CDP can effectively utilize first-party data that client companies collect and combine the online offline behaviors of consumers to comprehensively grasp overall consumer behavior and target specific customer demographics for marketing to elevate sales performance.

LnData can assist brands to cross-integrate data from different avenues and build their own unique CDP while managing and taking stock of consumer data. Furthermore, it can collaborate with services such as Ln{Track}、Ln{Site}、Ln{APP} and Ln{O2O} to comprehensively record brand customer behavior online and offline.

Relevant consumer touchpoint data collection :

First Party Data

First-Party data is the data that a company has in its own storage. For example, CRM member data, the data from online shops or corporate apps are all classified as first-party data. First-Party data is usually viewed as the most valuable sort of data as both the potential monetary value and concealment ratings are very high.

First Party Data Key Points :

First-Party data rights belong to the company itself. As it is stored in a company’s own database, there is much freedom and flexibility in utilizing such data.
First-Party data possesses high value by merit of complete records of consumer actions, allowing customer behaviors, preferences and profiles to be easily discernible with analysis.
Group tagging consumers based on first-party data allows tailored marketing actions to increase chances of relevant consumers purchasing products or services.

Aside from the diverse products that LnData offers which can assist client companies with data collection, formidable data integration and organization skills can also help clients take inventory of the first-party data in their own databases and subsequently simplify complex data in simple visual representations such as graphs, fully exploiting the value of their in-house first-party data.

Relevant consumer touchpoint data collection :

Second Party Data

Second-Party Data is commonly recognized as data collected from advertisements placed through DSP with a wide plane of interaction. Companies can assuage the efficacy of placed advertisements through building a management system on DSP while performing intermediate analysis on advertisement data to enhance company marketing strategies.

Second Party Data Key Points :

Companies can obtain advertisement effectiveness, exposure, amount of clicks, affected demographic age distribution alongside other relevant data through a second-party data management platform to enhance advertisement placement and marketing strategies.
Second-Party data rights belong to the advertisement placement DSP, with said DSP reserving rights to selectively release advertisement performance data. For example, Youtube does not provide advertisement exposure data but provides amount of clicks. Additionally, advertisement efficacy reports are usually not indicative of real-time effectiveness.

In order to solve this issue, LnData converts restricted second-party data to first-party data for the client company to utilize through the Ln{Track} system and Ln{Site} integration.

Relevant consumer touchpoint data collection :

Third Party Data

Outside data obtained by companies through capture, exchange or transactions are all viewed as third-party data, with the origins mainly being:

Social Media: Data collected through browsing social media websites such as Facebook, Instagram, ptt, Dcard as well as online news networks and forums.
Third-Party: All data gathered either through exchange or purchase from market research units to data markets, and even open online databases belong to the third-party data category.

Third Party Data Key Points :

Extremely wide range of data sources with data formats being more diverse as well. Likewise, applicable levels and angles for third-party data are similarly diverse.
Third-Party data sources are external, thus requiring companies to expend resources, money and time to acquire.

LnData assist client companies in effectively retrieving third-party data through a host of services and products. Should one wish to grasp public opinion, Ln{Social} will aid clients in collecting cross-channel social media data and offer the most professional data analysis through LnData’s dedicated data analysis team. Aside from public opinion analysis, LnData’s Ln{SII} system specifically targets Facebook, and our Ln{CIM} system assesses the social influence of various consumer groups. Additionally, in order to solve the issue of third-party cookies disappearing in the future, we have released Ln{AudienX}, providing Taiwan’s data market with an impartial exchange platform.

Relevant consumer touchpoint data collection :

CRM

CRM Client Relations Management records brand member data and further manages said data through Ln{CIM} to discover key consumers and grasp brand membership specialty outlines. LnData can further comprehensively record consumer behavior data such as purchased products, frequency of purchase and membership level via data monitoring systems Ln{Track}, Ln{Site} and Ln{App}. We organize data of different sources in CRM data through cross-channel data integration, and effectively monitor member data through visual graphical representations.

Sales

Market sales are unquestionably the lifeblood of a company. With Ln{CIM}, Ln{DMP} and other associated sales data analysis and collation services, our clients can understand the wellbeing of their business. Then, pairing Ln{Site} -- our web data analysis tool which analyzes online stores and event website data to compile consumer online purchasing records -- with Ln{O2O}, ensures that offline and online sales data can be integrated by LnData, drawing relations between online and offline consumer spending and overcoming the issue of digital isolation.

Web (Official Website / Event Page / Consumer Interaction)

Web data is no doubt extremely important to enterprises. With Ln{Site}, our clients can completely monitor a given site with LnData assisting them to grasp the online behavior of consumers and tracking their digital footprints regardless if the page is an official website or event page. Data such as browsing frequency, amount of clicks and time spent stopping on sties along with all relevant data are recorded, which can help firms deduce the best platforms for consumer interaction through data analysis.

Ads (Delivered on Google, Facebook, TTD)

Advertisement data is often the most commonly encountered data by business owners that is unable to be utilized to its full potential by business owners. Enterprises funnel large amounts of resources and money to Google, Facebook etc. only to receive a facet of advertisement efficacy in reports. However, Ln{Track} Advertisement Monitoring System provides cross-channel data monitoring services. By utilizing a unified standard in appraising cross-channel data, it can enable client companies to instantly monitor advertisement effectiveness and obtain the latest information more so than relying on DSPs such as Google, Facebook and TTD. In the past, advertisement data could only be provided to companies through visual representations such as graphs with no other utilities for the company. Through advertisement monitoring by Ln{Track} though, LnData can assist client organizations in amassing Second-Party advertisement data and convert it into First-Party data after reorganization to provide greater usage to client organizations while increasing client data storage.

Offline (Wifi or Bluetooth) Online Offline Conversion

Ln{O2O} effectively obtains device and online data through Wifi and Bluetooth to comprehensively grasp consumer footprints through assisting client organizations in collecting this group of often overlooked offline consumer behavior data. By utilizing QR code scanning online and offline data can effectively be integrated, overcoming the data hurdle. Through online-offline data integration, LnData can assist enterprises in evaluating more extensively advertisement turnout rates for offline consumers, quantifying offline data and correlating it with online consumer data.

Interest (Combining First and Second Party Actions)

LnData can assist enterprises in group tagging outside third-party information to differentiate consumers on basis of specialties to facilitate the deployment of additional marketing policies such as customized marketing to enhance marketing efficacy and enrich marketing resources. By purchasing accurate third-party data from the online market through AudienX, client companies can grasp consumer specialties with interest tags to visibly enhance advertisement placement effectiveness. LnData can further assist enterprises through combining Ln{Track}, Ln{Site} and Ln{AudienX} to integrate first-party proprietary company data with external purchased data to overcome data limitations and create new opportunities.

Social (Social and Online) Martech chatbot

Social media data is the crux of all marketers. Ln{Social} combs all social media platforms and provides key market insights together with LnData’s professional data analysis team to assist companies in grasping social media momentum to enact timely responses. Aside from social media opinion analysis, LnData also provides Ln{CIM}, Ln{SII}, Chatbot and Martech to assist companies in responding to the mercurial opinions on social media by comprehensively and flexibly grasping KOC, Facebook groups, and many more

Data Middle Platform

The Data Middle Platform is a solution to solve the problem that when enterprises used data in the past, once the data came from different channels, it was difficult for enterprises to process data and evaulate results with a consistent standard.

What Data Middle Platform can do?

From data collection, synchronization, centralization and management, the data center uses a consistent data management process to sort out the cross-departmental, cross-channel and different formats of data in the enterprise. The data that has been sorted and counted has greatly reduced the use of data by users in the enterprise. threshold.
The data center can provide corresponding data services according to the needs of different departments, and it can also set permissions for sensitive data to properly protect the data.
Effectively break the data silos of departments, help enterprises greatly reduce data management costs and thresholds, and allow all users in the enterprise to maximize the value of data.

Relevant consumer touchpoint data collection :