Patents

Jumptap has a significant IP portfolio. We have invested heavily in mobile advertising invention. Our growing intellectual property portfolio reflects our mobile technology heritage and early defined commitment to innovation and clear market leadership. Our proprietary technology and patents are an important strategic facet of our business that produces a clear differentiation in the marketplace and allows us to deliver tangible benefits to our partners and the various stakeholders in the industry.

Jumptap’s patent portfolio covers targeted advertising on mobile devices – including phones and tablets – powered by data such as demographic, geographic, behavioral, contextual, and transactional information. As such, Jumptap believes the portfolio is fundamental to the operations of any mobile advertising business that seeks to use data for targeting. Our issued patents are:

Portfolio Growth

Jumtap’s is proud of the velocity with which its portfolio has grown. After the first patent was issued in June 2009, Jumptap has received a new patent almost every following month.

Patent Groups

Bid-based selection of device type compatible with ad (4)

  • Bid-based Selection Of Device Type Compatible With Ad [8,103,545]
  • Bid-based Selection Of Device Type Compatible With Ad Where Ad Has Subscriber Characteristic Associated With It [8,195,513]
  • Bid-based Selection Of Device Type Compatible With Ad Where Ad Has A Credit Card Datum Associated With It [8,296,184]
  • Rendering Targeted Advertisement On Mobile Communication Facilities [8,364,521]

Bid-based profile selection (4)

  • Bid-based “category Profile” Selection (comparison Of Financial Consideration Of Bidders) [7,660,581]
  • Bid-based “keyword Profile” Selection (comparison Of Yield From Financial Consideration Of Bidders) [7,865,187]
  • Bid-based “category Profile” Selection (comparison Of Yield From Financial Consideration Of Bidders) [8,050,675]
  • Managing Sponsored Content Based On Usage History [8,351,933]

Non-bid-based profile selection (2)

  • Non-bid Based “keyword Profile” Selection [8,340,666]
  • Non-bid-based “keyword Profile” Selection (comparison Of Yield Determination Of Ad) [7,899,455]

Request fulfilled based on demographic and purchase history data (2)

  • Webpage Request (portal) Fulfilled Based On Demographic And Purchase History Data [7,769,764]
  • Ad Request Of Webpage Fulfilled Based On Demographic And Purchase History Data [8,041,717]

Ad placement based on likelihood of interaction with ad (4)

  • Ad Placement Within Certain Area Of Screen Based On Likelihood Of Interaction With Ad Based On (a) Prior Interaction With Related Content, (b) Demographic (c) PrevioUS Web Interaction, (d) Present Location, And (e) Hardware/software Characteristic[7,752,209]
  • Two Independent Claims: Ad Placement Within Certain Area Of Screen Based On Likelihood Of Interaction With Ad Based On (a) Demographic, (b) Present Location, And (c) Hardware/software Characteristic; Ad Placement Within Certain Area Of Screen Based On Likelihood Of Interaction With Ad Based On (a) Prior Interaction With Related Content, (b) Previous Web Interaction, And (c) Hardware/software Characteristic[8,099,434]
  • Ad Placement Within Certain Area Of Screen Based On Likelihood Of Interaction With Ad Based On (a) User Profile And (b) Hardware/software Characteristic [8,131,737]
  • Ad Placement Within Certain Area Of Screen Based On Likelihood Of Interaction With Ad Based On (a) Transaction (b) Payment History And (c) Hardware/software Characteristic [8,332,397]

Search results prioritized according to relevancy (2)

  • Search Results Prioritized According To Relevancy Based On (a) Time, (b) Present Location, (c) Future Location, (d) Demographics, And (e) Past Click-throughs [7,603,360]
  • Search Results Prioritized According To Relevancy Based On (a) Demographics, (b) Shopping Habits, (c) Duration Of On-line Interactions, (d) Past Click-throughs, And (e) PrevioUS Search Queries[7,577,665]

Bid-based keyword selection corresponding to search request and association of ad (1)

  • Bid-based Keyword Selection Corresponding To Search Request And Association Of Ad With Search Results Prioritized Based On (a) Types Of Content Previously Accessed, (b) Contextual Info Of A Webpage [7,860,871]

Selection of ad based on a previously purchased first product/service and compatibility with mobile communication facility (4)

  • Selection Of Ad Content Based On (a) Relevance Between A Previously Purchased First Product/service And A Second Product/service Offered In The Ad Content And (b) Compatibility Of Ad Content Or Second Product/service With MCF [7,702,318]
  • Selection Of Ad Content Based On (a) Relevance Between A Previously Purchased First Product/service And An Advertisement For A Second Product/service And (b) Compatibility Of Ad Content Or Second Product/service With MCF [7,970,389]
  • Selection Of Ad Content Based On (a) Relevance Between A Previously Purchased First Set Of Products/services And An Advertisement For A Second Product/service And (b) Compatibility Of Ad Content Or Second Product/service With MCF [7,907,940]
  • Selection Of Ad Content Based On (a) Relevance Between A Previously Purchased First Product/servicesand An Advertisement For A Second Product/service And (b) Compatibility Of Ad Content Or Second Product/service With MCF [8,270,955]

Targeted advertising to a group using a transactional datum (4)

  • System For Targeting Advertising Content To A Plurality Of Mobile Communication Facilities[8,316,031]
  • System For Targeting Advertising Content To A Plurality Of Mobile Communication Facilities[8,175,585]
  • System For Targeting Advertising Content To A Plurality Of Mobile Communication Facilities[8,180,332]
  • System For Targeting Advertising Content To A Plurality Of Mobile Communication Facilities[8,433,297]

Weighting mobile content based on interaction information (4)

  • Weighting Mobile Content Based On Interaction Information Relating To The Mobile Content Accessed On First MCF And Ordering The Mobile Content On Second MCF Based On The Weighting [7,912,454]
  • Weighting Mobile Content Based On (a) Interaction Information Relating To The Mobile Content Accessed On First MCF And (b) Hardware/software Capability Of First MCF And Ordering The Mobile Content On Second MCF Based On The Weighting [7,983,662]
  • Weighting Mobile Content Based On (a) Interaction Information Relating To The Mobile Content Accessed On First MCF And (b) Offline Information Relating To User Of First MCF And Ordering The Mobile Content On Second MCF Based On The Weighting [8,200,205]
  • Interaction Analysis And Prioritization Of Mobile Content [8,359,019]

Calculating expected value for determining bid amount (1)

  • Calculating Expected Value For Determining Bid Amount To Sponsor Mobile Content Based On (a) Contextual Data Of Mobile Content, (b) Content Viewing History Of User, And (c) Purchase Price For PrevioUS Content; And Dynamically Altering Bid Amount (to Reflect Change In Expected Value Due To Likelihood That User Will View/interact With Mobile Content) Based On (a) Hardware/software Characteristic, (b) Demographic, (c) Location[7,676,394]

Spidering websites via user agent strings (1)

  • Spidering Websites Via User Agent Strings To Identify Those Websites Containing Content Configured For Display For A Specific Mobile Communication Facility [8,229,914]

Determination of relevancy scores among respective ads and keywords (2)

  • Determination Of Relevancy Scores Among Respective Ads And Keyword(s) And Presenting More Relevant Ad In Response To Web Page Request Corresponding To Web Page Containing The Keyword(s) [7,548,915]
  • Determination Of Relevancy Scores Among Respective Ads And Keyword(s) And Presenting More Relevant Ad In Response To Web Page Request Corresponding To Web Page Containing The Keyword(s); Device Compatibility; Updating Behavioral Profile With The Keyword(s) [8,156,128]

Bidding by providing exclusivity characteristic (1)

  • Bidding On Exclusive Sponsored Content Item By Providing Exclusivity Characteristic Relating To Usage History And Matching The Exclusivity Characteristic To The Sponsored Content Item [8,027,879]

Coupon selection (1)

  • Two Independent Claims: Selecting Coupon Based On Relevance Between (a) Purchase Of Goods, (b) Model Of MCF, And (c) Subscriber Characteristic; Selecting Coupon Based On Relevance Between (a) Transaction, (b) Model Of MCF, And (c) Shopping Habits[8,238,888]

Associating survey with interactive sponsored content (1)

  • Five Independent Claims: Associating Survey With Interactive Sponsored Content Having Been Selected Based On Subscriber Characteristic, Transmitting Survey To MCF, Receiving Response To Survey, Transmitting Survey Analytic (of Responses To Survey Of Multiple Users) To MCF; Associating Survey With Interactive Sponsored Content Having Been Selected Based On User Transaction, Transmitting Survey To MCF, Receiving Response To Survey, Transmitting Survey Analytic (of Responses To Survey Of Multiple Users) To MCF; Associating Survey With Interactive Sponsored Content Having Been Selected Based On Usage History, Transmitting Survey To MCF, Receiving Response To Survey, Transmitting Survey Analytic (of Responses To Survey Of Multiple Users) To MCF; Associating Survey With Interactive Sponsored Content Having Been Selected Based On Location, Transmitting Survey To MCF, Receiving Response To Survey, Transmitting Survey Analytic (of Responses To Survey Of Multiple Users) To MCF; Associating Survey With Interactive Sponsored Content Having Been Selected Based On Contextual Information Associated With Website, Transmitting Survey To MCF, Receiving Response To Survey, Transmitting Survey Analytic (of Responses To Survey Of Multiple Users) To MCF; [8,290,810]

Receiving interactive advertisement including dynamically inserted text (1)

  • Receiving A First And Second Device-specific Interactive Advertisement From Respective Sponsors, Wherein The Interactive Advertisements Each Include A Listing Of Selectable Content And Are Representative Of A Purchasable Item/service Using Dynamically Inserted Text Representative Of The Real-time Price Of The Purchasable Item/service [8,209,344]

Dynamically creating a second ad based on navigation request, indicator input, and a make and model of device (2)

  • Receiving Navigation Request Indicating Selection Of First Ad, Receiving Indicator Input Corresponding To (a) Location Of MCF And (b) Queries/accesses To Content Associated With Other MCFs Within Location, Wherein The Queries/access Are Substantially Related To Each Other And Have Been Increasing In Frequency Prior To Receipt Of Navigation RequestU; Dynamically Creating A Second Ad Based On The Navigation Request,U The Indicator InputUU, And A Make/model Of The MCF; And TransmittingU The Second Ad To The MCF [8,195,133]
  • Dynamically Creating Second And Third Ads Based On The Navigation Request,U The Indicator InputUU, And A Make/model Of The MCF; Caching The Third Ad; And TransmittingU The Second Ad To The MCF [8,301,125]

Analysis of mobile web browser activities (1)

  • Receiving/storing Mobile Web Browser Activities On An MCF And Analyzing Them To Determine A Relationship Among Them And Then Creating A Category Of User Profile Based On The Analysis, And Transmitting Content Corresponding To The Category Of User Profile To The MCF [8,131,271]

Revenue models associated with syndication of a behavioral profile (1)

  • Receiving A Request For A Wireless Operator User Profile Datum; Delivering The User Profile Datum To Approved Advertisers; And Sharing A Portion Of The Financial Consideration With The Wireless Operator That Provided The User Profile Datum [8,311,888]

Management of multiple ad inventories (1)

  • Identifying A User Of A Cellular Phone Via A Hashed User ID; Searching First And Second Mobile Content Inventories For First And Second Mobile Sponsored Content, Where Each Sponsored Content Includes A First Second Item; Determining The Sponsored Content From The First Inventory Is More Relevant Than The Sponsored Content Of The Second Inventory; Determining The Cellular Phone Can Render The First Item And Not The Second Item; And Transmitting The First Item Of The First Sponsored Mobile Content To The Cellular Phone [8,302,030]

Computing an association between a sponsored content and a contextual datum with receipt of a display datum (1)

  • Contextual Targeting Of Content Using A Monetization Platform [8,364,540]