Hashtags have been around for a while. At first it was just a neat way to call out a particular sentiment or be associated with a trending story on Twitter; they’ve now made it into our vernacular and expanded to other platforms including Instagram and Google+. With this evolution, brands are now leveraging the once lowly hashtag as a strategic tool to unify campaigns and connect with customers.

Companies like Volvo have taken steps to use specific branded hashtags like #SwedeSpeak and #MyFirstVolvo to interact with specific consumers about particular topics. By doing so and educating their audience about how to use them and what to expect, they have been successful in transforming these conversations into engagement tools for existing consumers while driving awareness of that usually positive relationship to those consumers’ networks.

In order to be successful with your hashtag strategy, leaders in the space recommend several best practices to follow:

1. Limit the number of hashtags you use and keep it simple. Too many hashtags make it difficult to track and are confusing to consumers.
2. Make them mean something. Figure out what you are going to focus on and then consistently leverage those across numerous campaigns.
3. Avoid open-ended questions. By not limiting the response to a specific type, not only are you losing relevancy, but you are opening a can of worms for a hashtag hijacking.
4. Be realistic. Make sure you have permission from your consumers to claim that hashtag. Blackberry’s #BeBold campaign, complete with super heroes, was a #Fail that opened it up to ridicule that quickly expanded into a chance to mock their slip into irrelevance.
5. Get organized. Use dashboards structured by hashtag or more easily monitor and manage your campaigns.

Innovators, such as American Express, have pushed the envelope even further. Through the newest phase in their partnership with Twitter AMEX has created hashtag-enabled commerce, allowing joint AMEX-Twitter members who connect their accounts the ability to pay for a new Kindle Fire just by sending #BuyKindleFireHD.

Other companies are also creating new ways to leverage this supercharged special character. The mobile marketing platform smartsy, for example, is using their engagement marketing features and visual recognition functionality to help transform products and campaign assets into #objects, which act as focal points for easily creating and distributing user generated content within the platform as well as across channels, including social media.

As you can see hashtags have come a long way since Jack Dorsey launched Twitter six years ago. I’m excited to see what the next six years will bring. #Predictions, anyone?

These days, consumers have more choices, more incentives and more reasons to comparison shop for the best deals out there. But Marketers can use online behavior and web analytics to reveal patterns and warning signs indicative of the type of customer retention issues that lead to “online cheating.” The question is, are they?

If caught early enough, these issues can be easily connected. To do so, marketers must identify which types of data patterns to pay attention to and use that data to inform their next steps.

1. Homepage Bounce Rates of 55% or More
If more than 55% of visitors are turning around as soon as they get to your site, it’s a major red flag that something is terribly wrong. It’s likely that visitors aren’t finding what they’re looking for. (BTW: you should know that the average industry home page bounce rate is around 50%, and that a well-performing homepage has a bounce rate of between 0% and 25%.)

So what gives when this issue arises? It’s usually due to issues with layout, design, navigation, site elements, functionality, content, or messaging. By A/B and multivariate testing these homepage elements in various combinations, marketers can discern which elements are contributing to a higher conversion rate, and which are contributing to the high bounce rates.

2. High Average Shopping Cart Abandonment Rates
Many online shoppers initiate a purchase, only to leave the items behind in their cart. The Baymard Institute found that the average cart abandonment rate is about 65%. Luckily, there are a number of options you can test to bring this number down. These include estimating shipping costs at an earlier point in the buying process, allowing guest checkouts, highlighting in-stock versus out-of-stock status, providing auto-fill forms based on cookie tags for repeat visitors, and using shipping discounts or specials.

3. Low Search Engagement
The importance of search on visitor engagement and purchases is often overlooked. By encouraging consumers to explore the site and streamlining the shopping process, the chances you’ll turn more visitors into customers, increases. Every single component of the search feature—placement, layout, default search box text and even the color, size and design of the graphic elements—affects engagement with this important tool. Multivariate testing can help marketers discover which combinations work best for their target audience

4. Unsatisfactory Average Order Values
What about those customers that just aren’t buying as much as they could be? Chances are they have a very specific product in mind, and aren’t being persuaded to add more items to their cart.

This is where personalization can really help. By inserting and/or customizing information that’s relevant to a specific user based on implicit behaviors (items purchased, pages viewed) as well as explicit details (location, age, gender) provided by that particular user, you’ll be able to customize their recommended items. Product recommendations and behavioral targeting are two common ways to combat this problem.

5. One-Time Buyers
66% of Amazon.com’s sales are attributed to repeat buyers. Remarkably, only 7% of the entire ecommerce industry can say the same. But it’s going to be tough to match this success without employing automated personalization with behavioral targeting solutions.

Using data such as previous purchases, searches, page views, geography, demographics, type of button click, transactions, etc., is crucial to keeping customers loyal. Behavioral targeting tailors content and offers to individuals based on both their past behaviors and their unique “buyer personas”.

Placing customers at the heart of online content decisions and giving them unique, personalized experiences is an important part of faithful consumer relationships.