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Which platforms are best for press release distribution?

02/27/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Social media such as Twitter, Facebook and LinkedIn are best suited for disseminating press releases, as they have a wide reach and it is easy to send messages to a wide audience. In addition, press releases can also be published on special press portals to which many journalists and editors subscribe. These platforms also offer additional opportunities to distribute press releases on other platforms, e.g., through email marketing or PR tools.
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How to publish press releases in a targeted manner

02/27/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

1. Identify your target audience: Before you publish a press release, it is important that you identify your target audience. It is important that you know who your target audience is and how best to approach them.

2. Select a press agency: It is important to select a press agency that meets your needs and can assist you in getting your press release out.

3. Design a strategy: you need to develop a strategy to target your press release. This will allow you to ensure that the press release appears on the right channels at the right time.

4. Select the right channels: To target your press release, you need to select the right channels for your message. This may require some research, as you need to think about which channels are best for your target audience.

5. Build a network: It is important that you build a network to help you get your press release out. This includes blogs, social media, and other web or print media.

6. Publish regularly: if you publish press releases regularly, you can ensure that your target audience is constantly aware of your company. This increases your visibility and the likelihood that your message will be read.

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What are the common misconceptions about Google Ads?

02/23/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

There are some misconceptions that are common when it comes to Google Ads. Here are some examples:

"The higher the ad budget, the better the results": a higher budget does not necessarily lead to better results. It's more important to allocate the budget wisely and run targeted ads.

"Any number of clicks is a good number of clicks": it is important to consider the quality of clicks, not just the quantity. It's not about generating as many clicks as possible, but about targeting relevant users.

"A high position in the search results is always better": A higher position in the search results does not necessarily lead to more clicks and conversions. It is important to understand the target audience and their search intentions and optimize accordingly.

"A specific keyword should be in every ad": it is important to place keywords wisely in ads, but it is not necessary to use every keyword in every ad. The point is to create relevant and engaging ads.

"Google Ads is the only way to advertise online": Google Ads is an important way to advertise online, but there are other channels such as social media, display advertising and email marketing that should be considered."

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What is unstructured data?

02/21/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Unstructured data is data that has no explicit structure and exists in its raw form. Unlike structured data, which is organized in well-defined tables and columns, unstructured data has no consistent structure or formatting. It can exist in a variety of formats, including text documents, images, videos, audio files, social media posts, emails, and web pages.

Unstructured data is often difficult to analyze because it does not have a clear structure or metadata that can be used to interpret the data. Extracting information from unstructured data often requires complex machine learning algorithms to identify patterns and relationships and extract relevant information.

Despite the difficulties of processing unstructured data, they can provide valuable insights into consumer behavior, market trends, social interactions, and other areas. Therefore, they play an important role in data analysis and processing, especially in the field of Big Data.

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Build yourself an automated customer generation machine - We show you how

02/20/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

1. Develop a database model to store relevant customer information, including contact information, purchase behavior, purchase history, and other information.

2. Create an automated system that records and stores customer information.

3. Create software that regularly retrieves and analyzes customer information to identify potential customers.

4. Set up an automated campaign to target potential customers and inform them about your company and products.

5. Create a system that automates conversations with potential customers to inform them about your products and provide them with a quote.

6. Create a system that automatically monitors potential customers after they complete a purchase and offers rewards based on their buying behavior.

7. Develop a system that analyzes customer information to increase customer loyalty and improve customer satisfaction.

8. Set up regular customer surveys and feedback systems to receive and analyze customer feedback.

9. Create a system that monitors customer information for verification and data integrity.

10. Develop a system that segments customers based on specific criteria to create personalized campaigns.

Automated online marketing

Automated store or order process

Automated optimizations

Automated content creation

Automated use of social media channels

Automated topic determination for content creation

Automated search engine optimization

Automated follow-up process

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