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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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 |
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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. |
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Paskah Br Barus, Rini |
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Paskah Br Barus, Rini OPTIMIZING USER RETENTION FOR A DIGITAL RECRUITMENT APP WITH CLM AND THE HOOKED MODEL |
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Paskah Br Barus, Rini |
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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 |
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optimizing user retention for a digital recruitment app with clm and the hooked model |
url |
https://digilib.itb.ac.id/gdl/view/84007 |
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