Small Business Trends Facebook Pages for Small Businesses

In the early days it was easy to gain social media followers but just posting a blog. But these days using some digital ads or paid social options are essential for aiming a message to the right audience and at the right time.

Traffic from social media is certainly a positive signal of building awareness of your business online. It is an indicator of people sharing your site and consequently your business.

However, building traffic solely from social media postings limits the exposure of the message. Using ads strategically can aim your message to the right audience and provide an immediate response to events that need an extra effort to attract attention.

First, organic reach - the metric that connotes how far a post is going - is valuable when people are engaged. And there is value in sharing. But relying solely on organic reach (sharing) haphazardly subjects the post to a platform algorithm.  Facebook, Twitter, and other social media platforms periodically change the signals that tell their algorithms what post is relevant to a given user.  When a platform changes its algorithm to a factor that diminishes organic traffic, it can diminish how far the post is exposed.

Second, ads can be tailored to your ideal audience and where they are in the buyer’s journey. An ad that speaks to building awareness will highlight a product or service differently than that for buyers who are in a decision phase.

Moreover, social ads can be earmarked by location, gender, and customer interest, leading to visitor activity that reflects your desired audience for in-depth engagement at your site.  This is a bit different from just liking a post and sharing it.

So while there is nothing wrong with encouraging shares on social media post as a part of a comprehensive plan, relying solely on social media posting is not a long term way to build customer interest and sales.

In short, do not ignore other marketing media for bringing your product, service, or site to everyone’s attention. Ensure that you understand how your social efforts influences your customer’s path to purchase.  Knowing the role your social media has can help you decide how to best plan your budget.  You can confirm how effective your campaigns are in a campaign report within an analytics solution.

The world of analytics has taken a lot of turns over the past several years.  It went through a name change among analytics professionals - the Web Analytic Association changed its name to Digital Analytics Association years ago to better reflect the wider application of website analytics solutions from Google, Adobe, and others.

Today machine learning techniques are injected life into predictive analytics and customer analytics, both becoming one and the same in many instances.

Predictive analytics has existed for decades, but it has received increased attention as cloud computing expanded capability and access to that capability.   Open source programming added collaboration among professionals, injecting developer technique and solutions. This has marshaled talents and resources and that has ushered in machine learning techniques in almost every industry and research.

With these factors in mind, analytics is experiencing advances in capability and opportunities associated with that capability. Let’s note what has been emerging so far:

  • Data Mining Is Now A Critical Early Step - The need to review that data has always been important since the day Google bought Urchin and when Adobe Analytics was Omniture Site Catalyst.  But that need has been altered as smart devices from phones to cars have become networked to the internet. Most analysts using Google Analytics or Adobe Analytics were concerned with interpreting where website traffic arrived.  Now the data sources have shifted to include devices, producing more unstructured data. This increases the need for cleansing techniques to sort data before it is used in machine learning models, which thrive on vetting test data to build model accuracy.
  •  The growth of tools in the marketplace that can easily blend data. Statisticians have long used scripting programming languages to build predictive models. Over time vendors have been making inroads in making the interface to those languages easier to visualize results and highlight data errors that can impact model accuracy.  Graph databases such as Neo4j are an example of that convenience.  Neo4j presents data relationships in a node diagram, easing the highlight of potentially correlated data.  Software providers from all levels of technology have introduced tools to fit every skill set and need.  Most solutions offer enhanced dashboard visualization and can merge data from several tools and databases.  These features are useful for establishing advanced analytic techniques. The best way to consider these tools is to ask which tools best visualize and update the data conveniently.
  • Tech innovators are not exclusively producers of computer or people-facing software - Remember the days when developers debated about the merits of PC versus Mac? Such technological Berlin Walls have fallen long ago, leading to surprise and delight moments.  For example, I remember being surprised at the scope of the Capital One appearance at OSCON 2016. Their purpose?  To attract developers to an AWS-based solution they created called Cloud Custodian.   Today businesses that are adopting open source recognize the need for fostering collaboration among developers.  That will lead to new solutions coming from unsuspecting sources.
  • Recommendation engines are refining analytics solution: A/B testing is meant to highlight when one web element is preferred over another. But accuracy in an A/B test can be difficult to achieve when the test is conducted manually. Sometimes users end a test with only a few samples of data when more would have provided more statistically correct accuracy. To raise accuracy in testing, analytic solution providers have introduced machine learning algorithms in serving the test elements for a website, app, or paid media campaigns.  This ensure that various layouts, images, and texts define not only presented offers, but also impact the larger customer experience. Since machine learning algorithms generate responses, the payoff for optimization testing is better accuracy from test results. Current solutions are starting to come to market with this capability.  Adobe announced an Auto-Target, an A/B testing feature that uses a machine learning protocol to automate personalization testing of elements and learn the preferred individual experience with media.
  • The rise of deeper statistics. Much of the tests available for websites and app optimization centered on frequency-related stats for tasks such as establishing sample size for an A/B test. The advancement of cloud computing, coupled with data visualization options, has allowed for better application of conditional statistics. Condition statistics look at the likelihood of an activity given the existence of a certain condition.  The “condition” facing marketers can incorporate factors such as demographics or location, thanks to the rise of mobile and IoT devices.   This is an important distinction from frequency-based statistics, which does not account for a condition.   Cloud computing has also paved a way for once-arcane statistics theories, like the One-Armed Bandit and Simpson’s Paradox to be more applicable to data mining, data segmentation, and ultimately real-life challenges that are more data-based.  Programming languages such as R and Python can display these theories and their application in action.

Despite these advances, one asterisk remains: Marketers and analysts still require the skills and judgment to make sure the software reports accurate data. With companies expected to spend on analytics in general over the next 3 years, you should  expect skills to increase appropriately.   Marketers should participate in work conferences for tool as well as find ways to collaborate.

Neo4j Data Visualization Tool

Data visualization tools like Neo4j can aid plans in data cleansing and planning regressions for machine learning techniques

Open Site Explorer

This tool from Moz can help you identify problems with 301 redirects

Every new year a number of businesses launch a new website, just like a number of people join a gym to get into shape.  And as many newbies to a gym overlook certain steps in their regimen, many new sites overlook how to retain traffic from their old.

In short, they overlook how to use a 301.

Part of analytic services include a diagnostic in assessing how pages are accessed. One aspect that can come up in site redesign.

Background

First, let’s understand the basics for 301 code.

A 301 redirect is a server code that indicates to search engines that a certain page has been changed.  The advantage of 301 redirects is that traffic is not loss due to a permanent change in website layout.

So traffic that heads to www.yourwebsite.com/oldpage can go to www.yourwebsite.com/newpage.

There are a number of ways that a 301 redirect is installed.  Most methods depend on the programming language that powers a site, but all have a similar implementation protocol, to add a minor code indicator in the header.

There are other ways to indicate a change. Many servers use a file called the .htaccess file to add an indicator for page redirects.  The file is placed in the host directory for the site.

To add a redirect, the  .htaccess file is opened, and a line is added to the text in the file that indicates a redirect. Apache .htacess files use the following line:

Redirect/old_dir/ www.oldwebsite.com/new_dir/new file.html

Too many redirects ruin the optimization

A word of caution: using 301 redirects for URLs require judgement for the amount of usage. A few can make sense for a small site, and will not penalize search engine optimization.  But creating a chain of redirects towards single URL can confuse search engines and can increase the time to load the desired end page because URL redirections triggers extra HTTP requests.

Tools

Some tools can use detect the presence of 301 redirects. Open Site Explorer can be used to highlight pages where 301 codes occurred (as well as 302s while you are at it). Go to Open Site Explorer and enter the website URL. Then select inbound links, then select the type of link that is the source of the connection.

Another, Content Forest,has a 301 and 302 creator online.   For more on the difference on 302s and 301s, read this brief Zimana post.

Overall consider the purpose for 301s. The ultimate usage is for pages that clearly have no purpose, such as a page made to describe a service which is no longer available.

While at the O’Reily Solid conference back in 2015, I got to experience the best IoT innovations vendors had to offer. One of the more interesting vendors spotlighted was Digital Lumens, a that specializes in intelligent lighting or "smart lights”.

Smart lights are designed to provide light where there is activity on the factory floor.  If there is no one in the area, the lights turn off progressively, dimming where needed and ramping up quickly when activity picks up immediately

They are an design aspect of Lighting as a service, a IoT subset trend in which the lights and the operation of their sensors are constantly adjusted to match factory floor operations.  The result is managed costs through analytics and supporting technological service. The strong indicators that were shown in 2015 seems to be continuing into the next decade, as research firms have estimated market growth through 2020.

Digital Lumens has invested heavily in sensor-bearing light fixtures, and has seen several payoffs. To demonstrate the analytic potential, the outfit deployed sensor-bearing light fixtures within Fort Mason, the facility where the Solid conference was hosted.

I spoke with Kaynam Hedayat,  Digital Lumens Vice President of Product Management and Marketing.  Hedayat explained to me the potential in power metering - understanding the cost behaviors associated with power consumption. He explained the benefits as it related to recent API release for LightRules, a protocol meant to connect analytics and signal between Digital Lumens light fixtures and other equipment.

“Ultimately you learn which area in your manufacturing space you want light at a certain time.  If there is no one in the area,you can achieve energy saving without leaving employees in the dark for critical equipment through progressive dimming, then ramping up quickly when employees come into a work area."

The chances for Digital Lumens’ success rides high as smart lights become a staple among IoT-influenced consumers as it has for B2B. Smart lights have allowed customization of an environment to fit a specific need, from helping babies to sleep to keeping people alert in low light environments.

The New York Times quoted Mariana Figueiro, who leads light and health research at the Lighting Research Center of Rensselaer Polytechnic Institute, about the consumer influence. In the article she states that “Lighting is really not about a fixture in the ceiling anymore….It’s about delivering individualized light treatments to people."

That customization can also address specific needs in the commercial environment such as safety. Digital Lumens introduced an emergency automation system based on its LightRules protocol called the Emergency Management Solution. The solution is meant to test lights for NFPA-101 compliance.  As a result facility managers can schedule and perform automated emergency lighting tests to ensure employee safety prior to emergency situations.

As sensors like those in smart light fixtures pick up more applications in the real world, they will introduce new ways to consider analytics. Metrics will still be a proxy for human activity, but within IoT applications the activity will represented through the trigger of a sensor.  This counters web analytics, which placed human activity in a context of digital media consumption, be it a downloaded white paper or a click from a paid search ad. It ultimately redefines the quality of the data received, with better notions of what to infer from the activity.

In May 2017, Zimana founder Pierre DeBois was interviewed at InteropITX in Las Vegas.    Pierre stopped by the Information Week News desk to speak with Jim Conolly, Executive Managing Editor, offering his insights on All Analytics, an analytics online community, and on the state of business intelligence today.

You can also check out an article Pierre specifically wrote for Information Week. The post focuses on the growing shift in retail to mainstream e-commerce. It examines Amazon and compares its status in retail today against Sears, a stalwart department store which had a similar ascendancy in its heyday.

You can read the article,  Amazon and Sears - Tales of Two Retailers, here.

Search.

The golden process in which customers magically arrive to your business after making a wonderful discovery of your website in Bing, Google , and Yahoo!

Yeah, right.

Many businesses rightly invest in their search optimization. Search traffic is a very cost effective way of gaining traffic.  But the optimization is approached with a narrow scope on top SERP as the only measure of success.  In the last two years, the inclusion of social media in search results, combined with search engine refinements means that customer can discover your business in more than one way.  In fact the latest studies reveal nuanced search results that yield more conversions in a number of instances. Overlooking these researched efforts results in an overlook of more effective marketing.

Here’s how you can take advantage of these changes to better plan SEO and paid search.

Don’t fret excessively about the #1 spot in search - it’s important to improve exposure online to a search engine, but other avenues for awareness exist online.

Not being at the top of a search result is not the death of your search exposure, let alone digital exposure, to customers. The push to be #1 or #2 is valuable, but that message has been lost in context to the search query. In the 2000s keyword was paramount, and it is to degree now.  If you were a shoe maker you would like to be on top for "shoe repair" as much as you would for your store name.

But other networked devices and platforms have sprung up, to allow your business a new way to be exposed.  Some demographics rely on search more heavily than others - B2B is good example.  But many people discover new ways to engage your site and thus, your business.

Be leery of being ranked for your brand name as an end-all for search strategy

Keep in mind - being first in SERP for your personal name or business name is sometimes not a meaningful optimization. Many black hat consultants present being number one for a store name as a value, when that rank really should come natural based on page title, URL, and page description in the HTML.

Today search that brings visits is taking the form of a question happening as frequently in an Amazon Alexa as it can on a laptop.  Google noted that smartphones are the lead in a multidevice usage. And mobile users are more than likely to take action on a query - meaning call a store or make a purchase.

Review search visits and time on site improvements   

If you have launched a site, you should review search visits and time-on-site data of your web analytics solution to gain a sense for what keywords have worked. Make a list based on the trends you find.

Compare your observations against results from a site scan in Google Adwords Manager or Microsoft Adcenter Manager.  Both can scan a site your site and return a query list of words based on the site content.

Next compare this PPC-generated list to the keyword report you have examined – you are now looking for words that are on the site but really did not generate search traffic.  These identified words are now the keywords you can focus on for paid search to bolster traffic and interest. You can also:

  • Create a paid search campaign (or PPC: Pay Per Click) that includes your target words.  You can review competitiveness and plan a trial budget in your ad manager.   Using paid campaigns can increase click through in many cases when a word appears on a search result in the organic and paid search results.
  • For words beyond your paid search budget, investigate words that are used  as a Twitter hashtag for a target audience. You can then use these words in a Twitter strategy.  You can try a specialty search engine such as 48ers to see Twitter-related query results.  Set up a column in Hootsuite, Tweetdeck, or another application that monitors word usage.  Monitoring helps you understand how it is used, and make adjustments for your strategy.
  • Make sure your blog is hosted at the same service as your website.  Doing so ensures that frequent posting signals to search engines that content is being updated, strengthening how a site appears against a query. Hosting a blog elsewhere is not necessarily an SEO killer, but it does create two separate mediums that must be optimize (and can be more work for some businesses to keep up).
  • Ensure the title, meta description, H1 tags, and anchor text in your webpage code contains the selected keywords.  Moreover titles and descriptions appear in Facebook postings, so make sure these descriptions make sense and are not just a series of “keyword stuffing” lines.
  • Make sure keywords appear in the image descriptions in your website code.  Make sure the file names include those words as well.
  • Link building is valuable, but you want to focus on sites that are actively maintained and relevant to your site content. instead of requesting links, develop a contribution plan – find sites to contribute posts or to maintain profiles in which your site URL can be included.
  • Insert keywords into video titles and submit to YouTube.  Many people forget that Youtube in its self is the second largest search engine.

Discipline in implementing SEO is key to making Do-It-Yourself efforts effective.  Doing so also makes you smarter as a business owner. SEO requires an appreciation of website code and structure, but not so much as to turn you into a full-fledged developer. This knowledge can help you frame the questions you have when you later need to ask for digital marketing help.

Social ads raise awareness of posts

Social ads are important, because they allow a targeted message for people who spend a lot of time on social media.  They can be set for specific interests rather than keywords.  So a Facebook ad campaign for a ski trip would be aimed at profiles which indicate skiing as an interest.

Facebook, Instagram, Pinterest, and Twitter all have social ads.  Other variations  are being developed - Facebook just announced ads for Facebook Messenger, while Amazon has been quietly introducing ads as part of its platform.   Marketers are discovering that consumers are actually starting their product searches at Amazon, with many being done via Amazon Echo.

This means to plan a solid social ad strategy, you must think of interest that your followers are generally interest in.

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