The Official Klout Blog

#NewKlout Adds Personalized Scheduling and Topic Filtering

February 20th, 2014 by James Landau

When we released #NewKlout, we mentioned that it was only the first step toward our vision of helping people be known for what they love. Today we’re excited to announce the release of two new features that make it even easier to create and share great content that will strike a chord with your audience: personalized scheduling and topic filtering.

Personalized Scheduling

If you want people to listen, share the right message at the right time. You’ll make a bigger impact if you share content when your audience is online and most likely to engage.

Some scheduling tools help you do this by suggesting times based on when social media users — in general — are most active.

Klout offers the only scheduling tool that goes beyond this. It recommends times based on when your audience is most active. By publishing at these times, you’re more likely to share the right message at the right time with the right people.

Personalized Scheduling

Topic Filtering

Klout provides every user with a personalized content stream based on their specific topical interests and what’s likely to resonate with their network. By browsing this stream, you can find and share content likely to engage your audience.

Starting today you can filter your stream by individual topics, making it even easier to find exactly what your audience is looking for.

Topic filtering and personalized scheduling are just the first of many new features designed to make it even easier to create and share quality content using #NewKlout.

Login and let us know what you think!

Klout helps people be known for what they love.

The best way to have an impact online is to create and share great content that will strike a chord with your followers.

Start Sharing

James Landau

From Lumosity to MindSnacks to Klout, James has extensive experience helping companies create cohesive, informative stories about their products. In a former life, he was a graduate student who used network analysis to map the relationships between characters, authors, and texts.

This entry was posted on Thursday, February 20th, 2014 at 7:00 am and is filed under announcements. You can follow any responses to this entry through the RSS 2.0 feed.

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