WTSPodcast
The Women in Tech SEO Podcast (WTSPodcast) is THE podcast for all things SEO. Each week we invite brilliant women in the industry to join us and delve into specific topics so that we can learn from their stories, knowledge, and experience.
WTSPodcast is part of Women in Tech SEO - a support network aimed for women in the Technical SEO field, to discuss, share and learn from one another. The aim is to empower each other in a positive, inspiring, and beneficial way, and to help build our network and accelerate our careers.
Your hosts are Isaline Muelhauser (International SEO Consultant) and Areej AbuAli (Founder of Women in Tech SEO & SEO Consultant).
Website: https://www.womenintechseo.com/podcast/
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This podcast may use tracking and attribution and dynamic content insertion
Stats: Statistics are produced by Captivate, Chartable and Podcorn to help WTSPodcast to understand how many downloads it is getting, or how many people are listening. Your device’s IP address and user agent is used to help calculate this figure. Captivate and Chartable are IAB v2 certified. Here is more detail about podcast statistics.
Tracking and attribution: Chartable or its partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - it may spot a device that downloaded an episode of WTSPodcast later visited the website of an advertiser; or it may track that a device that listened to WTSPodcast also listened to a different show. This form of attribution is used to measure advertising effectiveness.
Dynamic content insertion: Captivate may use limited data that they know about you - the device you’re using, the approximate location you’re in, or other data that can be derived from this, like the current weather forecast for your area - to change parts of the audio. WTSPodcast may do this for advertising or for other forms of content, like news stories.
WTSPodcast is able to use the above tools since its podcast host or measurement company offers this service. It doesn’t mean that this individual podcast uses them, or has access to this functionality. We use open data.
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