Na bijna twee jaar is er dan eindelijk weer een tractorpullingwedstrijd waar je als publiek naar toe mag. Power Valley in Langedijk. Her en der waren al Grand National-wedstrijden, maar nog zonder publiek. Helaas is dit wel de laatste wedstrijd van het seizoen. Daarmee is dit ook de beslissende wedstrijd. En in veel klassen is het spannend!
Een heerlijk gevoel als je het terrein oploopt: de rook weer te ruiken, en de motoren al van ver te horen. Geweldig! Het evenement met de fantastische naam Power Valley is dit jaar op een nieuwe locatie. Het is vanaf de eerste minuut goed gevuld met publiek dat er merkbaar zin in heeft.
Er liggen twee banen die, zeker bij de start, niet veel grip bieden. De baan waarop de Grand Nationals rijden, blijkt ook verderop verraderlijke plekken te hebben. Onder andere Simply Irresistible ondervond dit in de Modified-klasse, het kostte de trekker meters.
Alle klassen die dit jaar voor de punten strijden staan vandaag op het programma, en daarmee valt ook de beslissing voor het kampioenschap.
Punten verdeeld
De Modifieds mogen als eerste de strijd aangaan. Intertechno Lambada staat een puntje voor op Simply Irresistible. Al tijdens de kwalificatierun blijkt Lambada machtig. En dat zet de trekker door. Het kampioenschap is voor de mannen uit Zwolle. Bij de Light Superstocks, die als tweede rijden, staat Easy Rider er het best voor. De International 7250 maakt verschrikkelijk veel toeren en doet ook vandaag goede zaken met een tweede plaats. Daarmee stelt de trekker de titel veilig.
Screamin’ Bobcat staat er het best voor in de Mini Unilimted-klasse. In de eerste run zet de trekker een full pull neer. In de finale sneuvelt de motor bij ongeveer 94 meter. De winst gaat vandaag naar The Riddle, die tweede staat in het kampioenschap. Deze winst geeft de trekkers een gelijke puntenstand, maar omdat The Riddle een wedstrijd meer won, is de titel voor dit kleine zwarte kanon. In de Unlimited-klasse gaan de dagwinst en de titel naar Whispering Giant. Het nieuwe frame en de nieuwe banden blijken succesvol bij de turbinetrekker.
Appypower weet vandaag de titel te pakken bij de Prostocks, met een half puntje voorsprong. De trekker zet vandaag een tweede plaats neer. Wicked Screamer wint de Light Modified-klasse en daarmee ook het kampioenschap. De trekker komt in de finale bijna 3 meter verder dan Uncle Duck.
Een bijzonder geluid tijdens een tractorpullingwedstrijd: een trekker met turbinemotor. TREKKER duikt in de techniek van deze motoren voor tractorpullers.
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Advertising 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 an ad is presented to you).
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.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
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.
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.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
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.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
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).
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.
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.
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.
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).
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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