Anvil 83569 Monkeytail Window Casement Stay 12" Aged Brass

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Statistics Cookies

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• Google AdWords Conversion: We use conversion tracking to help us understand how effective our digital campaigns are.
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• Google Tag Manager: We use Google Tag Manager to track user behaviour, traffic analysis and marketing optimisation.
• Hotjar: We use Hotjar to help collect  information about how visitors use our website and analyse user behaviour across our site.

Google: analytics_storage

Description:
Enables storage (such as cookies) related to analytics, e.g., tracking visit duration.

Detailed Explanation:

• Function: When analytics_storage is enabled, your website can store data necessary for analytical purposes. This includes cookies that track user interactions, session durations, page views, and other metrics essential for understanding user behaviour on your site.
• Use Cases:
  • Measuring website performance and user engagement.
  • Tracking conversion rates and user flows.
  • Gathering insights to optimize website content and structure.

Marketing Cookies

These cookies help us and other websites deliver personalised advertising to you that is more relevant to you. Without these cookies you will receive less relevant adverts.

• Google Dynamic Remarketing: We use these tracking tools to track user behaviour over time and across third party sites to improve the effectiveness of our online advertising. We collect information about what ads users view and whether they click on the ads. We use this information to improve and customise our advertising.
• Pinterest: Pinterest is a social bookmarking site where users can upload, save, sort, and manage collections of images. We use the Pinterest cookies to enable social sharing buttons on our sites, as well as to track social media and other Web browsing behaviour in order to target ads and promotions to your interests. For information about how to opt-out of Pinterest cookies, you can go here.

Google: ad_storage

Description:
Enables the use of storage mechanisms (like cookies or local storage) related to advertising purposes.

Detailed Explanation:

• Function: When ad_storage is enabled, your website can store advertising-related data on the user's device. This includes cookies that track user interactions with ads, manage ad delivery, and measure ad performance.
• Use Cases:
  • Serving targeted advertisements based on user behaviour.
  • Frequency capping to limit how often an ad is shown to a user.
  • Measuring ad effectiveness and conversions.

Key Point:
ad_storage primarily concerns the technical capability to store and retrieve advertising data on the user's device, irrespective of whether the data is personalized.

Google: ad_user_data

Description:
Sets consent for sending user data related to advertising to Google.

Detailed Explanation:

• Function: When ad_user_data is granted, your website is permitted to transmit user-specific data to Google for advertising purposes. This data can include identifiers, browsing behavior, and other personal information relevant to ad targeting.
• Use Cases:
  • Sharing user interaction data with Google Ads to enhance targeting.
  • Enabling cross-device tracking by sending user identifiers.
  • Facilitating remarketing efforts by providing user behaviour insights.

Key Point:
ad_user_data focuses on the consent to share user data with Google, enabling more informed and effective advertising strategies based on that data.

Google: ad_personalization

Description:
Sets consent for personalized advertising.

Detailed Explanation:

• Function: When ad_personalization is enabled, your website can deliver personalized ads tailored to the individual user's interests and behaviours. This personalization is based on the data collected and shared.
• Use Cases:
  • Displaying ads that align with the user's past browsing history or preferences.
  • Customizing ad content to increase relevance and engagement.
  • Enhancing user experience by showing more pertinent advertisements.

Key Point:

ad_personalization specifically deals with how the advertising content is tailored to the user, leveraging the data available to create more relevant ad experiences.