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Why FIREflurry?

Tiered Support

Streamline Multi-Level Social Media Marketing

FIREflurry works well with companies of all sizes, but when implemented at multi-level corporations, the solution really heats up.

FIREflurry begins at the corporate level, taking branded information on products or services and distributing it to the local level. It seems straightforward enough until you plunge into the details of how each business differs. What sells the most at a specific location? What incentives bring in more customers? How do regional promotions and events impact results?

The branded information at the corporate level is syndicated and fed into multiple regional feeds, and then it’s integrated seamlessly with customized content via local retailer tweets and status updates.

How does this simplify social media marketing? Your company establishes its own voice and a meaningful presence in the community of each of your retail locations, while maintaining the critical branding standards and promotional tie-ins funneled down from the corporate and regional levels.

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FIREflurry works harmoniously with corporate business goals and local business needs. The process ensures that content doesn’t just work as a subscription service, pushing irrelevant information to uninterested parties. FIREflurry customizes branded content and applications so your local stores can optimize messaging to best reach different markets.

Social Media Analytics for Multi-Level Corporations

FIREflurry increases branding efforts, encourages community interactions, improves campaign results and generates foot traffic for multi-level corporations. And, with our social media marketing analytics, you’ll have the numbers to prove it!

Social Media Analytics:

  • Provides regional and corporate key performance indicators and reports to illustrate how well your social media strategies are working.
  • Displays an aggregated view of social media efforts across various levels of your organization.
  • Delves into the specifics of the last 30 days, plus trending data for the previous 90 days.