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Japanese data analysis startup pLucky raises funds from Adways and Global Brain

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See the original story in Japanese. Tokyo-based pLucky, the company behind service analysis platform Logbook, announced today it has fundraised an undisclosed sum from Japanese internet company Adways (TSE:2489) and startup-focused investment firm Global Brain. Logbook helps internet companies to conduct a data-driven improvement on their web services, offering easy-to-use tools for service analysis such as auto-setting performance indicators and object values in addition to proposing countermeasures for improvement according to the web service category. Since its launch in Alpha version back in April, pLucky has improved Logbook for almost a year and acquired over 300 users. See also: LogBook makes data analysis more accessible to startups Japanese data analysis startup pLucky raises funds from CyberAgent Ventures Supporting mobile apps Using the funds, pLucky plans to enhance the Logbook platform to service analysis in the mobile app space. While there are an increased number of players offering service analysis platforms for web services, very few platforms support mobile apps. In view of the recently increased number of web service companies developing mobile apps, pLucky wants to enhance Logbook so that people can easily make service analysis for their mobile apps without expertise. Following adding mobile app support to Logbook earlier this month, the…

logbook_featuredimage

See the original story in Japanese.

Tokyo-based pLucky, the company behind service analysis platform Logbook, announced today it has fundraised an undisclosed sum from Japanese internet company Adways (TSE:2489) and startup-focused investment firm Global Brain.

Logbook helps internet companies to conduct a data-driven improvement on their web services, offering easy-to-use tools for service analysis such as auto-setting performance indicators and object values in addition to proposing countermeasures for improvement according to the web service category.

Since its launch in Alpha version back in April, pLucky has improved Logbook for almost a year and acquired over 300 users.

See also:

Supporting mobile apps

Using the funds, pLucky plans to enhance the Logbook platform to service analysis in the mobile app space. While there are an increased number of players offering service analysis platforms for web services, very few platforms support mobile apps.

In view of the recently increased number of web service companies developing mobile apps, pLucky wants to enhance Logbook so that people can easily make service analysis for their mobile apps without expertise. Following adding mobile app support to Logbook earlier this month, the company started accepting sign-ups from Android and iOS app developers.

Translated by Masaru Ikeda
Edited by “Tex” Pomeroy

LogBook makes data analysis more accessible to startups

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See the original article in Japanese Plucky, the Tokyo-based developer of user behavior analysis tool Slash–7, is now developing a new service [1]. The new service is called Logbook, and its goal is to allow anyone to start analyzing data. Logbook targets those who want to measure their own services but don’t know where to start. It helps clarify target areas to be analyzed and shows what steps to take. Recently we hear a lot about growth hacking, and the five key stages of acquisition, activation, retention, referral, and revenue – which have been referred to as ‘Pirate Metrics’, spelling out ‘AARRR’. This idea was developed to help startups execute data-driven management, and Logbook enables users to analyze data based on this AARRR framework. Many startups wonder which areas they need to analyze and improve. Data alone won’t help you figure it out, but Logbook helps you find more clarity using on AARRR, as explained in the slides below. The initial setup for Logbook is very easy. After users answer a few questions, the tool generates codes which users can embed in the software, so they can then start analyzing data right away. The wizard system tell you which indicators…

See the original article in Japanese

Plucky, the Tokyo-based developer of user behavior analysis tool Slash–7, is now developing a new service [1]. The new service is called Logbook, and its goal is to allow anyone to start analyzing data.

Logbook targets those who want to measure their own services but don’t know where to start. It helps clarify target areas to be analyzed and shows what steps to take.

Recently we hear a lot about growth hacking, and the five key stages of acquisition, activation, retention, referral, and revenue – which have been referred to as ‘Pirate Metrics’, spelling out ‘AARRR’. This idea was developed to help startups execute data-driven management, and Logbook enables users to analyze data based on this AARRR framework.

AARRR

Many startups wonder which areas they need to analyze and improve. Data alone won’t help you figure it out, but Logbook helps you find more clarity using on AARRR, as explained in the slides below.

The initial setup for Logbook is very easy. After users answer a few questions, the tool generates codes which users can embed in the software, so they can then start analyzing data right away. The wizard system tell you which indicators which need attention.

While there are similar tools in overseas markets, no tools have this kind of wizard system. With this addition, and by supporting those who don’t have the typical requisite skills for data analysis, Logbooks plans to expand its user base more broadly.

Logbook’s service will be in both Japanese and English, with the aim of targeting east Asian markets like as Hong Kong and Taiwan as well. By expanding Logbook, Plucky aims to ultimately become a growth-hacking platform that recommends optimized tools.

Pre-registration for alpha version of Logbook is now available. If you are interested in the service, you can learn more here.


  1. Editor’s note: The company name and service are technically called ‘pLucky’ and ‘SLASH–7’ respectively, but in the interests of readability and common sense, we’re normalizing both. –RM  ↩

Japanese data analysis startup pLucky raises funds from CyberAgent Ventures

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See the original story in Japanese. pLucky is the Tokyo-based startup behind the user behavior analysis tool Slash-7. The company announced today that it has raised an undisclosed amount of funding from CyberAgent Ventures. We figure that it’s worth about 20 million yen ($200,000). Slash-7 aims to gives website owners sophisticated data analysis for reasonable rates. Many executives at Japanese companies are becoming increasingly interested in making the most of big data analysis to improve their business. But for website managers, it’s a time consuming task and may also result in additional costs or a possible delay spilling over into your regular projects. The Slash-7 tool is based on Google BigQuery, a database engine for analyzing large amounts of data. It gives you access to ‘cohort analysis‘, helping measure user engagement over time. This allows users to monitor user retention rates by traffic source or measure conversion rates for a specific user group before or after a promotional campaign. The startup was launched back in 2011 by Nobuhiro Hayashi. He has been working in the web industry for almost 10 years, and previously worked at notable Japanese startups, including Tonchidot.

plucky-slash-7

See the original story in Japanese.

pLucky is the Tokyo-based startup behind the user behavior analysis tool Slash-7. The company announced today that it has raised an undisclosed amount of funding from CyberAgent Ventures. We figure that it’s worth about 20 million yen ($200,000).

Slash-7 aims to gives website owners sophisticated data analysis for reasonable rates. Many executives at Japanese companies are becoming increasingly interested in making the most of big data analysis to improve their business. But for website managers, it’s a time consuming task and may also result in additional costs or a possible delay spilling over into your regular projects.

The Slash-7 tool is based on Google BigQuery, a database engine for analyzing large amounts of data. It gives you access to ‘cohort analysis‘, helping measure user engagement over time. This allows users to monitor user retention rates by traffic source or measure conversion rates for a specific user group before or after a promotional campaign.

The startup was launched back in 2011 by Nobuhiro Hayashi. He has been working in the web industry for almost 10 years, and previously worked at notable Japanese startups, including Tonchidot.