OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL

As the digital recruitment market in Indonesia becomes increasingly competitive, it is crucial for Atma, a job portal tech startup, to retain a strong user base for sustainability and growth. Retention is vital for demonstrating product-market fit, monetization potential, and attracting future...

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Main Author: Paskah Br Barus, Rini
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/84007
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:84007
spelling id-itb.:840072024-08-13T15:13:14ZOPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL Paskah Br Barus, Rini Indonesia Theses User Retention, Hooked Model, Customer Lifecycle Management (CLM), Digital Recruitment Startup, Habit-Forming Product INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84007 As the digital recruitment market in Indonesia becomes increasingly competitive, it is crucial for Atma, a job portal tech startup, to retain a strong user base for sustainability and growth. Retention is vital for demonstrating product-market fit, monetization potential, and attracting future investments. To achieve this, Atma aims to shift its focus from aggressive user acquisition to retention, by optimizing its platform for regular use. This research combined quantitative data on user inapp activities with qualitative feedback from in-depth interviews. The quantitative analysis utilized Customer Lifecycle Management (CLM) techniques, including cohort analysis, behavioral cohort analysis, and funnel analysis, to identify critical experiences that encourage users to return, reasons for user churn, and features that need enhancement for better retention. The study found that retaining users is challenging for an episodic-use app like a job portal, where engagement is sporadic and infrequent. Once users secure a job, their need for the app diminishes, leading to significant drops in engagement and even app uninstalls. Therefore, the company needs to expand the platform’s features to provide additional reasons for users to return. Additionally, ensuring users perceive the app’s value through repeated interactions is essential. The research revealed that users who apply for at least four jobs within the first seven days are likely to have higher retention. This research highlights the importance of integrating intrinsic value into the product to foster a sustained user journey. The Hooked Model’s core elements—Trigger, Action, Variable Reward, and Investment—can encourage habitual use and sustained engagement, crucial for maintaining a competitive edge in the digital recruitment industry. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description As the digital recruitment market in Indonesia becomes increasingly competitive, it is crucial for Atma, a job portal tech startup, to retain a strong user base for sustainability and growth. Retention is vital for demonstrating product-market fit, monetization potential, and attracting future investments. To achieve this, Atma aims to shift its focus from aggressive user acquisition to retention, by optimizing its platform for regular use. This research combined quantitative data on user inapp activities with qualitative feedback from in-depth interviews. The quantitative analysis utilized Customer Lifecycle Management (CLM) techniques, including cohort analysis, behavioral cohort analysis, and funnel analysis, to identify critical experiences that encourage users to return, reasons for user churn, and features that need enhancement for better retention. The study found that retaining users is challenging for an episodic-use app like a job portal, where engagement is sporadic and infrequent. Once users secure a job, their need for the app diminishes, leading to significant drops in engagement and even app uninstalls. Therefore, the company needs to expand the platform’s features to provide additional reasons for users to return. Additionally, ensuring users perceive the app’s value through repeated interactions is essential. The research revealed that users who apply for at least four jobs within the first seven days are likely to have higher retention. This research highlights the importance of integrating intrinsic value into the product to foster a sustained user journey. The Hooked Model’s core elements—Trigger, Action, Variable Reward, and Investment—can encourage habitual use and sustained engagement, crucial for maintaining a competitive edge in the digital recruitment industry.
format Theses
author Paskah Br Barus, Rini
spellingShingle Paskah Br Barus, Rini
OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
author_facet Paskah Br Barus, Rini
author_sort Paskah Br Barus, Rini
title OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
title_short OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
title_full OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
title_fullStr OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
title_full_unstemmed OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL
title_sort optimizing user retention for a digital recruitment app with clm and the hooked model
url https://digilib.itb.ac.id/gdl/view/84007
_version_ 1822998373437800448