Baitoru

Case Study

BytePlus Recommend:

Powering Baitoru’sSuccess in Part-Time
Job Recruitment
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Case Study

Baitoru

The Evolution of Japan’s
Unique Work Culture
Japan, the world’s third-largest economy, has a unique work culture thathas been deeply influenced by its economic conditions, productivity
rates, and societal norms. Over the past few decades, the country has
seen a significant shift in its workforce structure. According to CNN,
as of 2021, nearly 40% of Japan’s total workforce was employed
part-time or worked irregular hours, a stark increase from roughly
20% in 1990. This rise in part-time work is a reflection of the changing
economic landscape and the evolving needs of the workforce. However,this shift has also been accompanied by challenges, including wage
stagnation and a lack of job security, making the search for suitablepart-time jobs a critical issue for many Japanese workers.

Employed part-time or worked irregular hours
1990

20%

2

2021

40%

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Case Study

Baitoru

A Beacon inJapan’s Part-Time
Job Recruitment
Landscape3|

Case StudyIn this context, Baitoru, operated by dipCorporation, has emerged as a leading platform
for part-time job recruitment in Japan. Baitoru’s
ethos is rooted in providing a wide range ofjob opportunities and supporting job seekers
throughout their job search process.

Baitoru
The platform is particularly popular among the young workforce,
offering jobs that range from working in convenience stores andrestaurants to becoming a foreign language instructor or translator.
Baitoru’s unique services, such as Workplace Videos and the Job
Experience/Workplace Visit program, provide job seekers with acomprehensive understanding of the work environment and job
expectations, making it a preferred choice for many.

A More Dynamic andResponsive Part-Time Job
Market in Japan
Despite Baitoru’s success, the increasing demand for part-time jobs
and the diverse needs of job seekers present a complex challenge.
This is where BytePlus Recommendation comes into the picture.
BytePlus Recommendation, with its advanced recommendation
algorithms and deep learning capabilities, can help Baitoru provide
more personalized and accurate job recommendations to its users. By
analyzing user behavior, job preferences, and market trends, BytePlus
Recommendation can enhance the job search experience on Baitoru,
making it more efficient and effective. This not only benefits job
seekers by helping them find suitable jobs more quickly but also helps
employers find the right candidates, thereby contributing to a more
dynamic and responsive part-time job market in Japan.

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Case Study

Baitoru|

Case Study

The Hurdle:

A Need forBreakthrough Results
Baitoru operates on a simple yet effective model.
Employers can post job opportunities, and job
seekers can apply for these positions. The
platform’s success and revenue are directly tied to
the number of applications it receives — the more
people apply for jobs, the more value the platform
provides to both employers and employees.
Therefore, Baitoru’s primary goal is to encourage
an increasing number of people to apply for jobs
through their platform.

Their existing recommendation system, while
functional, was not delivering the breakthroughresults they desired. Although the number of
new applicants was on the rise, Baitoru believed
there was untapped potential for a faster, moresubstantial increase. Recognizing this, theyturned to the BytePlus Recommendation tool fora solution.

Despite Baitoru’s significant success as a parttime recruitment platform, they encountered a
substantial hurdle.

The BytePlus Recommendation tool has the advantage of automatically
recommending suitable jobs to candidates. This mechanism makes it easierfor candidates to find jobs that are right for them. After adopting the BytePlus
Recommendation tool, Baitoru saw a significant improvement. They replaced
their existing recommendation engine with the BytePlus Recommendation tool,
which led to better results and added value for the platform.

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Baitoru
One of the key benefits of the BytePlus Recommendation tool is its
ability to customize features based on the client’s needs. For example,
Baitoru may have different marketing campaigns or promotions atdifferent times or seasons. The BytePlus Recommendation tool canoptimize its algorithms based on Baitoru’s varying business directions
at different times. The BytePlus team regularly conducts interviews
with the client to collect their requirements for feature enhancements.

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Baitoru

The Transformative Impactof BytePlus Recommend
The integration of the BytePlus Recommendation tool has catalyzed atransformative evolution in both the Baitoru web platform and mobileapplication, driving them towards new horizons of success.
Baitoru’s web platform, operating with a tier-based pricing structureand serving a substantial daily active user (DAU) base, has strategically
honed its focus on amplifying user experience and boosting conversions.
Over an 18-month go-live period, this concentrated approach has borne
fruit, manifesting in substantial enhancements across key performancemetrics. The platform has witnessed a surge in the overall conversion
per session across all scenes, a testament to the increasing number ofusers engaging in desired actions during their sessions. Furthermore,
the Gross Merchandise Value (GMV) per session has ascended,
indicating a burgeoning increase in the value of transactions orinteractions during each user session.

Parallelly, Baitoru’s mobile application, with its tier-based pricing
structure and a substantial daily active user (DAU) base, has been
meticulously engineered to elevate user experience and escalate
conversions. Over a 6-month go-live period, this focus has sparked
impressive enhancements. The app has seen a rise in the overall
conversion per session across all scenes, signaling an amplified user
engagement. Moreover, the Gross Merchandise Value (GMV) per
session has also experienced an uplift, contributing significantly tothe platform’s overall revenue.
Metrics

Web % Uplift*

App % Uplift*

Conversion per session (all scenes)+ more than+ more than

GMV per session (all scenes)+ more than+ more thanConversion per session (cooperation scenes)+ more than

GMV per session (cooperation scenes)+ more than

74%
4%

15%
15%

9%

8%

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Case Study

Baitoru
In the dynamic landscape of part-time job
recruitment, Baitoru has emerged as a trailblazer,
leveraging the power of BytePlus Recommend
to revolutionize its platform and application. Thejourney, marked by strategic focus and innovativetechnology, has led to significant enhancements inuser experience and conversion rates, reinforcing
Baitoru’s strong position in the industry.
The integration of BytePlus Recommend has not
only amplified the platform’s performance metrics
but also transformed the job-seeking experience
for millions of users. The tool’s advanced
algorithms and deep learning capabilities haveenabled Baitoru to provide personalized andaccurate job recommendations, making job searchmore efficient and effective for its users.
The success story of Baitoru serves as atestament to the transformative potential of
BytePlus Recommend. It underscores the powerof technology in addressing complex challenges
and unlocking new opportunities. As Baitoru
continues to evolve and grow, it sets an inspiring
example for other platforms in the industry,
demonstrating how innovation can drive successin the digital age.

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Case Study