Take Control of Your Online Reputation Today
Shuriken Digital’s Reputation Management service gives you control over your online presence by helping to ensure online listings are accurate, making it easy to manage reviews, benchmark yourself against competitors and more.
Is your business a needle in a haystack?
The last thing you want for your business is to be invisible online. This can happen if your business is not listed accurately in the places where consumers search.
Therefore, one of the first steps of our Reputation Management service is to verify the accuracy of your online business listings across review sites, directory sites, and social networks. Inconsistent listing data can lead to poor placement in search results.
Building the trust factor with online reviews
A potential client might have your correct company information, but why should they trust you?
Trust is built through social proof, a.k.a online reviews.
Did you know…? Australians read between one to five online reviews before they decide which business they want to use.
Consumers are using the internet to find local businesses and when they do, they see online reviews almost every time. Google shows online reviews in many search engine results pages (SERPs), and often adds third-party review sites and reviews to a business’s Knowledge Panel.
Your Shuriken Digital Agent will implement a reviews strategy that includes timely replies to all the reviews you get online, as well as a strategy to receive even more reviews from existing customers. This way, when someone finds you online, they see your business as trustworthy and professional.
Did you know… ? 70% of consumers will leave a review for a business when asked
[Source: BrightLocal’s 2016 Local Consumer Review Survey]
Listen to what the web is saying about you
Finally, our team will monitor mentions about your business and any key stakeholders. We compile data from a variety of sources, including news sites, blogs, and social networks. Plus, highlight the most positive and negative mentions using automated sentiment analysis.