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DIRT BIKE VLOG #13 KTM 790 & ARCTIC LEOPARD E-BIKE WITH CARSON BROWN AT THE CONTROLS
DESTRY ABBOTT’S LAST FACTORY KX500 RACE BIKE: TWO-STROKE TUESDAY
2025 KTM OFF-ROAD CROSS COUNTRY LINEUP ANNOUNCED : XC & XC-F MODELS GET UPDATED
2024 YAMAHA YZ250 TWO-STROKE VIDEO TEST: JARED & TRAVIS MAKE MAGIC HAPPEN
2024 GAS GAS MC125 VIDEO TEST: CARSON BROWN MAKES IT SCREAM
RYAN VILLOPOTO 2024 TWO-STROKE CHAMPIONSHIP YZ250 GIVEAWAY BIKE : 2-STROKE TUESDAY
WIN RYAN VILLOPOTO’S YAMAHA YZ250 RACE BIKE : ENTER HERE NOW
2024 GNCC LIVE RACING COVERAGE ROUND 5: THE OLD GRAY
2025 KTM MOTOCROSS LINEUP ANNOUNCED: SMALL BORE 2-STROKE PLATFORM RETURNS
J-DAY OFF-ROAD RACING PRESENTS J-DAY CHRONICLES : EPISODE 1 WITH SIMON JOHNSON

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THE WEEKLY FEED: WARDY ’82 ANAHEIM SX • SOCIAL POSTS • YAMAHA WR500 • MOUSSE BALLS?

Mar 2, 2022

This weeks Feed is eclectic, a bit bizarre and fires off with Jeff Ward at the 1982 Anaheim Supercross
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THE WEEKLY FEED: MIKE BELL BITD, VIDEO CRAZINESS, YAMAHA’S WR500-WHAT HAPPENED?

May 6, 2020

This weeks Feed showcases Mike 'Too Tall' Bell, a So Cal phenom who became a motocross star.
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ARCTIC LEOPARD 800 & 880 ELECTRIC BIKE VIDEO TEST: CARSON BROWN PUSHES THE…

RICKY JOHNSON ADVENTURE RIDE: FOX NATIONAL MX

REMEMBERING THE GREATEST BAJA BIKE EVER BUILT: THE FEED

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A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
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You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
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Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.

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You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
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You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
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Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).

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The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.

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Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.

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A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.

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Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).

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A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.

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An advertising intermediary delivers ads from various advertisers to its network of partnering websites. It notices a large increase in clicks on ads relating to one advertiser, and uses data regarding the source of the clicks to determine that 80% of the clicks come from bots rather than humans.

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Clicking on a link in an article might normally send you to another page or part of the article. To achieve this, 1°) your browser sends a request to a server linked to the website, 2°) the server answers back (“here is the article you asked for”), using technical information automatically included in the request sent by your device, to properly display the information / images that are part of the article you asked for. Technically, such exchange of information is necessary to deliver the content that appears on your screen.

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Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.

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In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).

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