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There is much to be gained

Posted: Tue Dec 17, 2024 3:19 am
by tanmoy666
A careers website is often already there. Some advertising is done on Indeed and vacancies are distributed via social media channels. That is often where it ends.

How many companies are data-driven in this whole process?
Is A/B testing taking place on a constant basis with vacancy texts or career websites?
Are all conceivable online resources and channels used to find new colleagues?
There is often still a lot to be gained there.

The differences in how seriously this is taken are particularly large between companies. This is where you can achieve a big advantage. That the investments in recruitment marketing afghanistan phone number library will grow in the coming years seems a logical consequence.

8. Privacy and data challenges
Since the beginning of the internet, many people and companies have worked hard to improve the user experience and relevance. Personalization used to be a development, but has now become a given.

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Users simply assume that ads and information will be displayed in a personalized manner. At the same time, advertisers see that relevant information and ads are also important to actually achieve the desired results.

Data at the base
Data is the basis for these constant improvements. Because you can measure everything well, you can target specifically and show the right ads and the right information to the right user at the right time.

At the same time, privacy is also a topic that is being discussed a lot. Many people have questions about it, have discussions about it or express their concerns about this topic. Now that the larger tech giants have reached the point where third-party cookies are (going to) be excluded, the challenges for advertisers in the area of ​​tracking will not get any smaller.

In some cases, this will make certain parts harder to measure, which means that the impact cannot always be included. Especially for companies with a complex customer journey, it is good to be aware of this and to actively work on it. It is important that data can also be interpreted correctly.