the company operates through two reportable segments : ( i ) information services and ( ii ) performance marketing . for additional information relating to our segments , see note 16 , “ segment information , ” in our notes to consolidated financial statements . information services —leveraging leading-edge technology , proprietary algorithms , and massive datasets , and through intuitive and powerful analytical applications , we provide solutions to organizations within the risk management and consumer marketing industries . core is our next generation data fusion platform , providing mission-critical information about individuals , businesses and assets to a variety of markets and industries . through machine learning and advanced analytics , our information services segment uses the power of data fusion to ingest and analyze data at a massive scale . the derived information from the data fusion process ultimately serves to generate unique solutions for banking and financial services companies , insurance companies , healthcare companies , law enforcement and government , the collection industry , law firms , retail , telecommunications companies , corporate security and investigative firms . in addition , our data acquisition solutions enable clients to rapidly grow their customer databases by using self-declared consumer insights to identify , connect with , and acquire first-party consumer data and multi-channel marketing consent at massive scale . built in a secure payment card industry ( pci ) compliant environment , our cloud-based next generation technology delivers greater than four 9s of service uptime . by leveraging our proprietary infrastructure design within the cloud , we currently operate in six datacenters spread geographically across the u.s. and are able to dynamically and seamlessly scale as needed . using our intelligent 31 framework and leveraging a micro services architecture where appropriate , we reduce operational cost and complexity , thus delivering sup erior performance at greatly reduced costs compared to traditional datacenter architectures . since the release of our core platform in may 2016 , we have added billions of data records and continue to add approximately over a billion records per month on av erage . our average query response time for a comprehensive profile is less than 250 milliseconds versus competitive platforms that measure comprehensive profile response times in seconds . performance marketing —our agile audience engine drives our performance marketing segment , which provides solutions to help brands , advertisers and marketers find the right customers in every major business-to-consumer ( b2c ) vertical , including internet and telecommunications , financial services , health and wellness , consumer packaged goods , careers and education , and retail and entertainment . we deterministically target consumers across various marketing channels and devices , through the user- supplied acquisition of personally identifiable information on behalf of our clients , such as email addresses , other identifying information and responses to dynamically-populated survey questions . additionally , 80 % of our consumer interaction comes from mobile , a highly-differentiated characteristic compared to our competitors whose platforms are not mobile-first . we own hundreds of media properties , through which we engage millions of consumers everyday with interactive content , such as job postings , cost savings , surveys , promotions and sweepstakes that generate over 800,000 registrations and over 7.5 million compiled survey responses a day . our owned media properties alone have created a database of approximately 130 million u.s. adults with detailed profiles , including 224 million unique email addresses , across over 75 million households . with meaningful , people-based interaction that focuses on consumer behavior and declared first-party data , leveraged on a mobile-centric platform that provides seamless omni-channel capabilities , we have the ability to target and develop comprehensive consumer profiles that redefine the way advertisers view their most valuable customers . previously , we provided advertising services in the out-of-home advertising industry in china under the name tiger media , inc. ( “ tiger media ” ) . on march 21 , 2015 , tiger media completed the acquisition of the best one , inc. ( “ tbo ” ) . in the transaction , tbo became a wholly owned subsidiary of tiger media , with tbo changing its name to idi holdings , llc and tiger media changing its name to idi , inc , now known as cogint , inc. tbo was a holding company engaged in the acquisition of operating businesses and the acquisition and development of technology assets across various industries . previously , on october 2 , 2014 , tbo acquired 100 % of the membership interests of interactive data , llc ( “ interactive data ” ) . historically , interactive data provided data solutions and services to the accounts receivable management industry , consisting primarily of collection agencies , collection law firms , and debt buyers , for location and identity verification , legislative compliance and debt recovery . interactive data now serves the entirety of the risk management industry . through leading-edge , proprietary technology , advanced systems architecture , and a massive data repository , interactive data addresses the rapidly growing need for actionable intelligence . on december 9 , 2015 , we completed the acquisition of fluent , llc ( “ fluent ” ) with certain transactions effective december 8 , 2015 ( the “ fluent acquisition ” ) . fluent , founded in 2010 , is a leader in people-based digital marketing and customer acquisition , serving over 500 leading consumer brands and direct marketers . fluent 's proprietary audience data and robust ad-serving technology enables marketers to acquire their best customers , with precision , at a massive scale . leveraging compelling content , unique first-party data assets , and real-time survey interaction with customers , fluent has helped marketers acquire millions of new prospective customers since its inception . story_separator_special_tag as a result , compensation expense recorded in the period that achievement is deemed probable could include a substantial amount of previously unrecorded compensation expense related to the prior periods . if ultimat ely performance goals are not met , for any share-based awards where vesting was previously deemed probable , previously recognized compensation cost will be reversed . recently issued accounting standards see item 8 of part ii , “ financial statements and supplementary data – note 2. summary of significant accounting policies - ( t ) recently issued accounting standards . ” fourth quarter financial highlights for the three months ended december 31 , 2016 , as compared to the three months ended december 31 , 2015 : total revenue increased to $ 54.2 million from $ 10.8 million . information service revenue increased to $ 16.2 million from $ 3.1 million . performance marketing revenue increased to $ 38.0 million from $ 7.7 million . gross profit margin increased to 33 % from 21 % . net loss improved to $ 5.4 million from a net loss of $ 32.6 million . adjusted ebitda improved to $ 6.3 million from a loss of $ 2.3 million . for the three months ended december 31 , 2016 , as compared to the three months ended september 30 , 2016 : total revenue increased to $ 54.2 million from $ 52.2 million . information service revenue increased to $ 16.2 million from $ 14.8 million . performance marketing revenue increased to $ 38.0 million from $ 37.4 million . gross profit margin increased to 33 % from 24 % . net loss improved to $ 5.4 million from a net loss of $ 9.7 million . adjusted ebitda increased to $ 6.3 million from $ 3.2 million . full year financial highlights for the year ended december 31 , 2016 , as compared to the year ended december 31 , 2015 : total revenue increased to $ 186.8 million from $ 14.1 million . information service revenue increased to $ 55.4 million from $ 6.4 million . performance marketing revenue increased to $ 131.4 million from $ 7.7 million . gross profit margin increased to 28 % from 27 % . net loss improved to $ 29.1 million from $ 84.5 million . net cash provided by operating activities improved to $ 2.1 million from net cash used in operating activities of $ 10.7 million . adjusted ebitda improved to $ 15.0 million from a loss of $ 6.6 million . 36 recent business high lights within our information services segment : leveraging our agile audience engine , we now interact with over 800,000 consumers daily , generating more than 7 million consumer insights per day and 225 million insights monthly . comprehensive database includes holistic views of greater than 95 % of u.s. population , including unique data assets comprising 130 million self-reported consumer profiles up from 120 million , 224 million unique email addresses up from 150 million , across 75 million households , up from 63 million households . increased demand for our targeted acquisition solutions , leveraging our unique ability to build custom audiences in real-time and deliver specific insights that support stronger roi for our customers ' digital marketing executions . idicore continues to expand in the marketplace , landing key customer wins with head-to-head data tests against our competitors , and winning on speed , accuracy and price . added thousands of users currently utilizing idicore in their daily workflow ; these users represent a variety of industries within the risk management space , including financial services , law firms , collections , government and investigative companies . within our performance marketing segment : increased profitability resulting from the maturing of strategic growth verticals , mobile apps and career & education , optimization of media spend , and activation of new media channels utilizing our rapidly growing first-party data asset . powered by our agile audience engine 's targeting capabilities , mobile apps generated revenue of $ 7.1 million in the fourth quarter 2016 , a greater than 50 % increase over third quarter 2016. career & education vertical , focused on the “ gig economy ” and providing performance marketing and recruitment solutions to some of the world 's fastest growing brands in ride sharing , food and beverage delivery and home and personal care , grew revenue to $ 3.3 million in the fourth quarter 2016 , a greater than 25 % increase over third quarter 2016. increased activity on emerging mediums , delivering strong results for our clients by activating our data on new channels , including social , search and programmatic , email , push notifications , sms and call-based platforms . successful launch of our new pay per call ad format , receiving positive customer feedback and indication of adoption across a range of verticals . use and reconciliation of non-gaap financial measures management evaluates the financial performance of our business on a variety of key indicators , including adjusted ebitda . adjusted ebitda is a non-gaap financial measure equal to net loss , the most directly comparable financial measure based on us gaap , adding back net loss from discontinued operations , interest expense , income tax benefit , depreciation and amortization , share-based payments , and other adjustments , as noted in the tables below . replace_table_token_6_th 37 replace_table_token_7_th we present adjusted ebitda as a supplemental measure of our operating performance because we believe it provides useful information to our investors as it eliminates the impact of certain items that we do not consider indicative of our cash operations and ongoing operating performance . in addition , we use it as an integral part of our internal reporting to measure the performance of our reportable segments , evaluate the performance of our senior management and measure the operating strength of our business . adjusted ebitda is a measure frequently used by securities analysts , investors and

cash flows used in investing activities . net cash used in investing activities for the year ended december 31 , 2016 was $ 12.0 million , which was mainly due to an aggregate of $ 10.2 million of software developed for internal use and capitalized litigation costs . net cash used in investing activities for the year ended december 31 , 2015 of $ 93.8 million was mainly due to the cash paid for the fluent acquisition of $ 93.3 million and an aggregate of $ 3.1 million of software developed for internal use and capitalized litigation costs , which were offset by the cash proceeds of $ 3.6 million as a result of the reverse acquisition of tiger media on march 21 , 2015. cash flows provided by financing activities . net cash provided by financing activities for the year ended december 31 , 2016 was $ 6.6 million , which was mainly due to the net proceeds from the registered direct offerings of $ 10.1 million , which was offset by the repayments of long-term debt of $ 2.3 million . net cash provided by financing activities for the year ended december 31 , 2015 of $ 111.9 million was the result of the following financing arrangements : ( 1 ) a registered direct offering of $ 10.0 million to an institutional investor in july 2015 ; ( 2 ) sales of series b preferred shares ( “ series b preferred ” ) and warrants to certain investors , including frost gamma investment trust , for an aggregate of $ 50.0 million in november 2015 ; ( 3 ) the term loan of $ 45.0 million 41 from three financial institutions p ursuant to a credit agreement on december 8 , 2015 ; and ( 4 ) an aggregate of $ 10.0 million promissory notes from certain investors in december 2015. as of december 31 , 2016 , the company had non-cancellable operating lease commitments of $ 3.7 million , and material commitments under non-cancellable data licensing agreements of $ 16.7 million .


 Write a concise suspicious activity report of the following text delimited by triple backquotes. Return your response as a formal report which covers the key points highlighting the location,dates,entity names and account holder information in chronological order of the text.
     ```cash flows used in investing activities . net cash used in investing activities for the year ended december 31 , 2016 was $ 12.0 million , which was mainly due to an aggregate of $ 10.2 million of software developed for internal use and capitalized litigation costs . net cash used in investing activities for the year ended december 31 , 2015 of $ 93.8 million was mainly due to the cash paid for the fluent acquisition of $ 93.3 million and an aggregate of $ 3.1 million of software developed for internal use and capitalized litigation costs , which were offset by the cash proceeds of $ 3.6 million as a result of the reverse acquisition of tiger media on march 21 , 2015. cash flows provided by financing activities . net cash provided by financing activities for the year ended december 31 , 2016 was $ 6.6 million , which was mainly due to the net proceeds from the registered direct offerings of $ 10.1 million , which was offset by the repayments of long-term debt of $ 2.3 million . net cash provided by financing activities for the year ended december 31 , 2015 of $ 111.9 million was the result of the following financing arrangements : ( 1 ) a registered direct offering of $ 10.0 million to an institutional investor in july 2015 ; ( 2 ) sales of series b preferred shares ( “ series b preferred ” ) and warrants to certain investors , including frost gamma investment trust , for an aggregate of $ 50.0 million in november 2015 ; ( 3 ) the term loan of $ 45.0 million 41 from three financial institutions p ursuant to a credit agreement on december 8 , 2015 ; and ( 4 ) an aggregate of $ 10.0 million promissory notes from certain investors in december 2015. as of december 31 , 2016 , the company had non-cancellable operating lease commitments of $ 3.7 million , and material commitments under non-cancellable data licensing agreements of $ 16.7 million .
```    
 Suspicious Activity Report : the company operates through two reportable segments : ( i ) information services and ( ii ) performance marketing . for additional information relating to our segments , see note 16 , “ segment information , ” in our notes to consolidated financial statements . information services —leveraging leading-edge technology , proprietary algorithms , and massive datasets , and through intuitive and powerful analytical applications , we provide solutions to organizations within the risk management and consumer marketing industries . core is our next generation data fusion platform , providing mission-critical information about individuals , businesses and assets to a variety of markets and industries . through machine learning and advanced analytics , our information services segment uses the power of data fusion to ingest and analyze data at a massive scale . the derived information from the data fusion process ultimately serves to generate unique solutions for banking and financial services companies , insurance companies , healthcare companies , law enforcement and government , the collection industry , law firms , retail , telecommunications companies , corporate security and investigative firms . in addition , our data acquisition solutions enable clients to rapidly grow their customer databases by using self-declared consumer insights to identify , connect with , and acquire first-party consumer data and multi-channel marketing consent at massive scale . built in a secure payment card industry ( pci ) compliant environment , our cloud-based next generation technology delivers greater than four 9s of service uptime . by leveraging our proprietary infrastructure design within the cloud , we currently operate in six datacenters spread geographically across the u.s. and are able to dynamically and seamlessly scale as needed . using our intelligent 31 framework and leveraging a micro services architecture where appropriate , we reduce operational cost and complexity , thus delivering sup erior performance at greatly reduced costs compared to traditional datacenter architectures . since the release of our core platform in may 2016 , we have added billions of data records and continue to add approximately over a billion records per month on av erage . our average query response time for a comprehensive profile is less than 250 milliseconds versus competitive platforms that measure comprehensive profile response times in seconds . performance marketing —our agile audience engine drives our performance marketing segment , which provides solutions to help brands , advertisers and marketers find the right customers in every major business-to-consumer ( b2c ) vertical , including internet and telecommunications , financial services , health and wellness , consumer packaged goods , careers and education , and retail and entertainment . we deterministically target consumers across various marketing channels and devices , through the user- supplied acquisition of personally identifiable information on behalf of our clients , such as email addresses , other identifying information and responses to dynamically-populated survey questions . additionally , 80 % of our consumer interaction comes from mobile , a highly-differentiated characteristic compared to our competitors whose platforms are not mobile-first . we own hundreds of media properties , through which we engage millions of consumers everyday with interactive content , such as job postings , cost savings , surveys , promotions and sweepstakes that generate over 800,000 registrations and over 7.5 million compiled survey responses a day . our owned media properties alone have created a database of approximately 130 million u.s. adults with detailed profiles , including 224 million unique email addresses , across over 75 million households . with meaningful , people-based interaction that focuses on consumer behavior and declared first-party data , leveraged on a mobile-centric platform that provides seamless omni-channel capabilities , we have the ability to target and develop comprehensive consumer profiles that redefine the way advertisers view their most valuable customers . previously , we provided advertising services in the out-of-home advertising industry in china under the name tiger media , inc. ( “ tiger media ” ) . on march 21 , 2015 , tiger media completed the acquisition of the best one , inc. ( “ tbo ” ) . in the transaction , tbo became a wholly owned subsidiary of tiger media , with tbo changing its name to idi holdings , llc and tiger media changing its name to idi , inc , now known as cogint , inc. tbo was a holding company engaged in the acquisition of operating businesses and the acquisition and development of technology assets across various industries . previously , on october 2 , 2014 , tbo acquired 100 % of the membership interests of interactive data , llc ( “ interactive data ” ) . historically , interactive data provided data solutions and services to the accounts receivable management industry , consisting primarily of collection agencies , collection law firms , and debt buyers , for location and identity verification , legislative compliance and debt recovery . interactive data now serves the entirety of the risk management industry . through leading-edge , proprietary technology , advanced systems architecture , and a massive data repository , interactive data addresses the rapidly growing need for actionable intelligence . on december 9 , 2015 , we completed the acquisition of fluent , llc ( “ fluent ” ) with certain transactions effective december 8 , 2015 ( the “ fluent acquisition ” ) . fluent , founded in 2010 , is a leader in people-based digital marketing and customer acquisition , serving over 500 leading consumer brands and direct marketers . fluent 's proprietary audience data and robust ad-serving technology enables marketers to acquire their best customers , with precision , at a massive scale . leveraging compelling content , unique first-party data assets , and real-time survey interaction with customers , fluent has helped marketers acquire millions of new prospective customers since its inception . story_separator_special_tag as a result , compensation expense recorded in the period that achievement is deemed probable could include a substantial amount of previously unrecorded compensation expense related to the prior periods . if ultimat ely performance goals are not met , for any share-based awards where vesting was previously deemed probable , previously recognized compensation cost will be reversed . recently issued accounting standards see item 8 of part ii , “ financial statements and supplementary data – note 2. summary of significant accounting policies - ( t ) recently issued accounting standards . ” fourth quarter financial highlights for the three months ended december 31 , 2016 , as compared to the three months ended december 31 , 2015 : total revenue increased to $ 54.2 million from $ 10.8 million . information service revenue increased to $ 16.2 million from $ 3.1 million . performance marketing revenue increased to $ 38.0 million from $ 7.7 million . gross profit margin increased to 33 % from 21 % . net loss improved to $ 5.4 million from a net loss of $ 32.6 million . adjusted ebitda improved to $ 6.3 million from a loss of $ 2.3 million . for the three months ended december 31 , 2016 , as compared to the three months ended september 30 , 2016 : total revenue increased to $ 54.2 million from $ 52.2 million . information service revenue increased to $ 16.2 million from $ 14.8 million . performance marketing revenue increased to $ 38.0 million from $ 37.4 million . gross profit margin increased to 33 % from 24 % . net loss improved to $ 5.4 million from a net loss of $ 9.7 million . adjusted ebitda increased to $ 6.3 million from $ 3.2 million . full year financial highlights for the year ended december 31 , 2016 , as compared to the year ended december 31 , 2015 : total revenue increased to $ 186.8 million from $ 14.1 million . information service revenue increased to $ 55.4 million from $ 6.4 million . performance marketing revenue increased to $ 131.4 million from $ 7.7 million . gross profit margin increased to 28 % from 27 % . net loss improved to $ 29.1 million from $ 84.5 million . net cash provided by operating activities improved to $ 2.1 million from net cash used in operating activities of $ 10.7 million . adjusted ebitda improved to $ 15.0 million from a loss of $ 6.6 million . 36 recent business high lights within our information services segment : leveraging our agile audience engine , we now interact with over 800,000 consumers daily , generating more than 7 million consumer insights per day and 225 million insights monthly . comprehensive database includes holistic views of greater than 95 % of u.s. population , including unique data assets comprising 130 million self-reported consumer profiles up from 120 million , 224 million unique email addresses up from 150 million , across 75 million households , up from 63 million households . increased demand for our targeted acquisition solutions , leveraging our unique ability to build custom audiences in real-time and deliver specific insights that support stronger roi for our customers ' digital marketing executions . idicore continues to expand in the marketplace , landing key customer wins with head-to-head data tests against our competitors , and winning on speed , accuracy and price . added thousands of users currently utilizing idicore in their daily workflow ; these users represent a variety of industries within the risk management space , including financial services , law firms , collections , government and investigative companies . within our performance marketing segment : increased profitability resulting from the maturing of strategic growth verticals , mobile apps and career & education , optimization of media spend , and activation of new media channels utilizing our rapidly growing first-party data asset . powered by our agile audience engine 's targeting capabilities , mobile apps generated revenue of $ 7.1 million in the fourth quarter 2016 , a greater than 50 % increase over third quarter 2016. career & education vertical , focused on the “ gig economy ” and providing performance marketing and recruitment solutions to some of the world 's fastest growing brands in ride sharing , food and beverage delivery and home and personal care , grew revenue to $ 3.3 million in the fourth quarter 2016 , a greater than 25 % increase over third quarter 2016. increased activity on emerging mediums , delivering strong results for our clients by activating our data on new channels , including social , search and programmatic , email , push notifications , sms and call-based platforms . successful launch of our new pay per call ad format , receiving positive customer feedback and indication of adoption across a range of verticals . use and reconciliation of non-gaap financial measures management evaluates the financial performance of our business on a variety of key indicators , including adjusted ebitda . adjusted ebitda is a non-gaap financial measure equal to net loss , the most directly comparable financial measure based on us gaap , adding back net loss from discontinued operations , interest expense , income tax benefit , depreciation and amortization , share-based payments , and other adjustments , as noted in the tables below . replace_table_token_6_th 37 replace_table_token_7_th we present adjusted ebitda as a supplemental measure of our operating performance because we believe it provides useful information to our investors as it eliminates the impact of certain items that we do not consider indicative of our cash operations and ongoing operating performance . in addition , we use it as an integral part of our internal reporting to measure the performance of our reportable segments , evaluate the performance of our senior management and measure the operating strength of our business . adjusted ebitda is a measure frequently used by securities analysts , investors and

