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The Best Tools for Keyword Research, Competitive Analysis and Trending Topics

Adam Sherk

To help with that, I’ve put together a list of the best options for keyword research, competitive analysis and monitoring search and social trends. You can use Keyword Planner to compare terms, get new content ideas, explore topical categories, monitor seasonality and compare desktop vs. mobile, among other tasks. Google Trends.

Analysis 241
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Online & mobile disaster relief efforts for Japan

SocialFish

There was a question on an ASAE listserve last week from a Japanese AMC looking for online/mobile examples of what associations and nonprofits could do to help with Japanese relief efforts following the earthquake a couple of weeks ago. More analysis and info from Beth Harte here ). See also Google Crisis Response. I do now!).

Mobile 177
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Avoid These Mobile Marketing Mistakes At All Costs

The Realtime Report

Avoid These Mobile Marketing Mistakes At All Costs. Next, it was a matter of having a good website and gaming the search engines. But everyone moved on to smartphones and mobile experiences. And to date, there have been none greater than mobile. Get mobile right, and you can build an empire.

Cost 79
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Avoid These Mobile Marketing Mistakes At All Costs

The Realtime Report

Avoid These Mobile Marketing Mistakes At All Costs. Next, it was a matter of having a good website and gaming the search engines. But everyone moved on to smartphones and mobile experiences. And to date, there have been none greater than mobile. Get mobile right, and you can build an empire.

Cost 70
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How to Reverse Engineer Your Competitors’ SEO Strategy

Convince & Convert

For example, a supermarket and mobile phone brand are indirect competitors. Supermarkets sell numerous electrical goods—including mobile phones—alongside food and beauty products, which a smartphone brand doesn’t sell. For example, websites on HTTPS can implement HSTS, which tells search engines your site is secure.

SEO 60
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The role of AI in creating a more human customer experience

Sprout Social

AI customer experience is the use of AI technologies like natural language processing (NLP), text analysis and sentiment analysis to delight customers wherever and however they interact with your brand. Predictive analysis can also be used to stem customer churn by identifying contributing factors based on voice of customer data.

Sentiment 105
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A marketer’s guide to natural language processing (NLP)

Sprout Social

NLP powers AI tools through topic clustering and sentiment analysis , enabling marketers to extract brand insights from social listening, reviews, surveys and other customer data for strategic decision-making. Text classification powers various capabilities such as sentiment analysis and spam filtering.

Process 111