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The 5-Step Formula To Forecasting Your SEO Campaign Results [Webinar] via @sejournal, @hethr_campbell

by knn
February 1, 2023
in Marketing
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Looking to launch a successful digital marketing campaign for your business?

How do you select the best SEO keywords to expand your brand’s reach?

What can you do to determine the most effective ways to allocate your marketing budget?

Facing these tough decisions can put you on your heels if you’re not equipped with the right information.

Luckily, there’s a new way to leverage your company’s data to estimate your ROI and take the guesswork out of your next campaign.

With a simple mathematical formula, you can predict the amount of traffic and revenue you’ll generate before even setting your strategy in motion – and you can do it all in just five steps.

Want to learn how?

Join our next webinar with Sabrina Hipps, VP of Partner Development, and Jeremy Rivera, Director of Content Analysis at CopyPress, to find out how to analyze specific keywords and forecast your SEO results.

Not too fond of math? Don’t worry – we’ll provide access to free tools and a downloadable calculator to help automate this process and save you time.

Key Takeaways From This Webinar: 

  • Learn how forecasting your SEO can help you build better campaigns and choose the right keywords.
  • Get step-by-step instructions to predict revenue and website traffic for your next SEO campaign.
  • Access a free handout, resources, and online tools that will save you time and supercharge your content strategy.

In this session, we’ll share real-life examples and provide guidance for the decision-makers within your organization to start getting the most out of your marketing efforts.

By better understanding the market potential of your product or service, you’ll be able to make more informed decisions and effectively maximize your ROI.

Sign up for this webinar and discover how you can secure a sufficient marketing budget and use SEO keywords to forecast the results of your future content campaigns.

knn

knn

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