Web application security scanner : learning launch 

 Challenge : 

 I am a member of marketing team in a cyber - security company involved in digital marketing , marketing   and product launch activities for application security . Our challenge is too launch new web application   security scanner on US market for a specific audience in order to reach a specific number of user   registrations . The project scope includes development , product marketing and digital marketing teams   plus business stakeholders . The project has a budget and human resources limitations . The launch has   to be executed within 6 months . US is a brand new market for our company , thus all teams has to check   dozens of hypothesis . 

 Selection : 

 Our team has already identified an opportunity , conducted customer interviews , collected feedback and   brainstormed the ideas so we are ready to try the learning launch . The learning launch should help us to   test our ideas incarnated in our product MVP and marketing hypothesis aimed to reach our target . 

 Application : 

 In our learning launch , we focused on marketing activities ( e.g. promo campaigns in communities , ppc   campaigns , and special projects on cyber security related websites ) in order to reach out the audience ,   our web application security scanner functionality and its value for the audience . This tested our   hypothesis on marketing channels and identified that 2 out of 5 channels did not bring any valuable   results , other channels performed well and we had some insights on our audience and their behavior .   Next , we have tried to test our product , how the audience use it on practice , which features were   valuable , which were below the radar . We got some insights from built - in analytics tool , user feedback ,   and some interviews we have conducted after the launch . 

 Insight : 

 The learning launch tool helped our team to test our assumptions and identify successful and failed   ones . We have collected valuable insights on our target audience : proper marketing channels , customer   journey paths , decision - making process , and web application security product expectations .   Additionally , we have collected the data and feedback on our product : product features usage data , user   feedback , UI and UX wins and fails , etc . Our actual results were slightly different from our expectations :   while our focus was on PPC campaigns , we have identified that it was impossible to compete with well- known brands , so we have decided to switch our attention to communities and outreach techniques . 

 Product wise we focused on free access websites ( without login and password ) scanning , after the   launch we have identified the need in behind the login and password web applications security   scanning . 

 Approach : 

 Our team is planning for the next launch based on insights data analysis collected from the previous   launch . We will try to improve our product features and revise our marketing approach . Our goal is to   come closer to a solution based on market and audience needs . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Web application security scanner : learning launch 

 Challenge : 

 I am a member of marketing team in a cyber - security company involved in digital marketing , marketing   and product launch activities for application security . Our challenge is too launch new web application   security scanner on US market for a specific audience in order to reach a specific number of user   registrations . The project scope includes development , product marketing and digital marketing teams   plus business stakeholders . The project has a budget and human resources limitations . The launch has   to be executed within 6 months . US is a brand new market for our company , thus all teams has to check   dozens of hypothesis . 

 Selection : 

 Our team has already identified an opportunity , conducted customer interviews , collected feedback and   brainstormed the ideas so we are ready to try the learning launch . The learning launch should help us to   test our ideas incarnated in our product MVP and marketing hypothesis aimed to reach our target . 

 Application : 

 In our learning launch , we focused on marketing activities ( e.g. promo campaigns in communities , ppc   campaigns , and special projects on cyber security related websites ) in order to reach out the audience ,   our web application security scanner functionality and its value for the audience . This tested our   hypothesis on marketing channels and identified that 2 out of 5 channels did not bring any valuable   results , other channels performed well and we had some insights on our audience and their behavior .   Next , we have tried to test our product , how the audience use it on practice , which features were   valuable , which were below the radar . We got some insights from built - in analytics tool , user feedback ,   and some interviews we have conducted after the launch . 

 Insight : 

 The learning launch tool helped our team to test our assumptions and identify successful and failed   ones . We have collected valuable insights on our target audience : proper marketing channels , customer   journey paths , decision - making process , and web application security product expectations .   Additionally , we have collected the data and feedback on our product : product features usage data , user   feedback , UI and UX wins and fails , etc . Our actual results were slightly different from our expectations :   while our focus was on PPC campaigns , we have identified that it was impossible to compete with well- known brands , so we have decided to switch our attention to communities and outreach techniques . 

 Product wise we focused on free access websites ( without login and password ) scanning , after the   launch we have identified the need in behind the login and password web applications security   scanning . 

 Approach : 

 Our team is planning for the next launch based on insights data analysis collected from the previous   launch . We will try to improve our product features and revise our marketing approach . Our goal is to   come closer to a solution based on market and audience needs .
### Output: 