Free White Paper: A Rebel's Guide to Building Organic Loyalty

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Reach the Audience that Matters to Your Bottom Line

Go beyond post + pray on social. RebelMouse gives teams an efficient playbook to systematically build sustainable social relationships and connect content to the right audiences. Our built-in social relationship management tools help identify new hyper-targeted social communities + influencers.

  • Leverage proprietary tech that surfaces editorially like-minded Facebook, Twitter, and Instagram accounts and the data to make intelligent selections.
  • Choose from a spectrum of social signals to build relationships with social accounts. With a simple "like" on a recent post or a more direct email intro, spark partnerships on the foundation of shared content and engagement.
  • Track the key sharing data — who is generating real buzz and social reach for you? How often? On what content?
  • Tag social profiles of influencers to content and concepts to create renewed relationships with every piece of content created.

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Here’s Why You Should Focus on Valley Elevation

We've all experienced it. The dopamine-filled highs of watching site stats blast through the ceiling on our favorite web analytics platform after a piece of content goes viral. As digital publishers, it's in our blood to crave these spikes. But the sobering crash back to reality that follows, and the ensuing scramble to come up with the next piece of content that can match the previous peak, are seemingly inevitable. This constant seesawing is a frustrating and fatiguing experience, no matter the size of your budget or marketing team. What's a publisher seeking stability to do? Are we all targeting the right goals, or is there more here than meets the eye?

Enter Valley Elevation

Turns out there is more to your stats than just those towering summits. It's the concept of valley elevation, and it's been staring you in the face the entire time. Coined by Bradley Schwarzenbach and popularized by bestselling author Andrew Davis, valley elevation posits that you should be focusing on the depth of your metrics' troughs instead of its peaks.

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