“Qualified”, “showing intent to buy”, “high conversion rate” and many other phrases are used to describe search engine marketing.  As a /a>, Search Marketing including SEO (search engine optimization) and PPC ads (pay per click) represent a substantial opportunity for small businesses to connect with customers at the moment they are looking for products and services to buy.

Even though Search Marketing presents an attractive opportunity to grow online sales, many businesses are too busy running their companies to stay on top of future trends. To that end, here are three search marketing trends worth paying attention to:

1.  Online & Offline Marketing Integration - Forrester Research estimates $917 billion worth of retail sales in 2009 were “Web-influenced” in contrast to $155 billion of consumer goods sold online in the same year.  Small businesses must pay attention to customer search online influencing offline purchases as well as the influence of the in-store experience on searching and purchasing online.

2.  Mobile Device and Local Search – Companies must recognize consumer trends towards mobile search with the /a>. The web experience has definitively extended beyond the personal computer to mobile devices such as iPhones, Blackberries and iPads.  Marketers must understand their customers’ use of mobile search and what the marketing opportunities are.

Companies that serve customers in specific regions or with geographically specific needs must be present in local search results, map results and specific geo-location queries. Segmenting potential customers through geo targeting with paid search advertisements will help focus the right ads on the right customers.

3.  Social Media Advertising – Savvy small business marketers are increasingly realizing that the opportunity to reach customers extends beyond traditional paid search into the booming social media space. Having /a> as the most visited website for the week ending March 13, 2010 and with over 400 million registered users, Facebook offers a significant audience that shouldn’t be ignored.  Social networks like Facebook can provide online marketers hyper-targeted advertising opportunities that can tap into new customer segments and serve as a complement to other paid search programs.

Whether it’s incorporating online and offline influences with search marketing, diversifying PPC advertising networks, leveraging local and mobile search marketing or extending advertising programs to include social media, small business marketers that capitalize on these trends will gain a competitive advantage. Of course, if they hire an /a> like TopRank Marketing, that advantage may come even faster.

This post was excerpted from my article that was originally published on American Express OPEN Forum. Be sure to visit/a>/a> for the other 2 trends.

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This image might need updated in the years to come, but it does a great job laying out how Google works when you type a query into their search engine. Search is so easy to do that it is hard to appreciate how complex it is unless you take a look under the hood. Which is exactly what this graphic does

Click the image to get the full sized beefy image
img src=”http://www.seobook.com/images/how-google-works.jpg” border=”0″ alt=”How Google Works.” />

A side benefit of this graphic is that it should help prospective clients realize how complex SEO & PPC campaigns can be. So if anyone is trying to be an el cheapo with their budget you can use this to remind them how complex search is, and thus how time consuming and expensive a proper search marketing campaign is.

Read the original here:
/a>

There are so many blogs on search marketing.

Then there are so many forums.

And Tweets.

So much SEO noise, and so little time.

So how does anyone make sense of it? The deluge can be overwhelming for the experienced SEO, let alone the poor beginner. If you are just starting SEO, here are the ten areas you should spend most of your time on when you’re starting up.

1. Stop reading Blogs/Forums/Tweets/Facebook. Too much noise, takin’ all your time

“SPAM = Site’s Positioned Above Mine” – /a>

2. Before your do any SEO, /a> What service does your website provide? Who are your readers/customers? What can you provide that your competitors don’t? How are you going to deliver your services and make a profit? There’s no point ranking well for a business that doesn’t work at a fundamentally level.

“Search is a “reverse broadcast system.” In a broadcast system, advertisers spend lots of money to reach a mass audience, hoping to build desire for a product or service. But most of the audience is not interested in their pitches. Search is the reverse. Each search is an expressed desire, something that someone at a particular time actually wants. Advertisers can tune in to the “desire-cast” that’s going on.” – /a>

3. Set /a> and include a time frame. “I want to make x in 12 months”. “I want 20,000 RSS subscribers in 6 months”. It’s important to be specific. It’s difficult to measure goals that aren’t specific i.e. “be popular”.

Never let your ads write checks that your website can’t cash. – /a>

4. Create interesting content. If you know your audience, you already know what content they will find interesting. If you don’t, revisit #2.

I’m not even sure myself – /a>

5. Links. You need links Not just the Google-juice, PR-passing kind. Links are the arteries of the web, Traffic travels across links, so all links, crawlable or not, no-followed or otherwise, are valuable. Asking for links from people you don’t know is pretty much a waste of time. It’s a better idea to create fantastic content, then link out to the popular people who can spread the word. They’ll follow their inbound links back to you. Make sure that what they find is /a>.

The urgent can drown out the important. – /a>

6. Do SEO. All that stuff you’re no longer reading in #1? It all boils down to this: put keywords in your /a>, write on-topic content, make sure your site is crawlable, /a>. Repeat.

We’re trying hard to find user needs that aren’t being met at all- /a>

7. After a month, look at your keyword referral logs. Take those terms and plug ‘em into keyword research tools. Create a list of 30 keyword terms that your audience would find interesting. Those are your article headings. Write 30 articles. Repeat.

8. Look at your competitors. Your competitors are ranking well for a reason. They’re being mentioned elsewhere for a reason. What are they doing that you’re not? Reverse engineer their sites i.e. who links to them, find out what articles they publish and find out who is talking about them, and why. Emulate them, then go one better. Either that, or stop competing with them directly i.e. define a slightly different niche.

We are currently not planning on conquering the world – /a>

9. Get social. Social media is often over-hyped, but the /a>. Getting mentioned is the new link building. It’s about building connections between people. Google has a problem. Using links as a measure of relevant content doesn’t work as well as it used to, so you can be sure Google will be using an evermore complex set of signals. These signals will involve the connections people make with your site. That’s really what Google wants to know – who is most relevant. Consider the many different ways people can connect with you, and enable those connections.

10. Start reading the blogs/forums/twitter. The irony, of course, is that I’ve linked to some truly great resources and thinkers

If you’ve followed the ten steps above, you’re 80% of the way there. The final 20% will take a while longer, and that’s where /a> comes in.

Keep in mind that some of the most lucrative SEO information isn’t likely to be published in the public domain. Cultivate personal networks to get this information. This is true of any business endeavor.

Network

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/a>

Web Analytics are a key indicator to the health and performance of any website, but online marketers often get lost in the complexities and details, forgetting how important analytics actually are and why.

Analytics can provide a wealth of information but marketers often look at high level indicators such as: top content, bounce rates, entrance sources and keywords without tying it all together. In most cases, there is a tremendous amount of insight that can be used to make smarter marketing decisions, but most companies barley scratch the surface. At the OMS Minneapolis event last week  /a> gave an excellent presentation on analytics failures and successes. I’ve taken my notes from that presentation and combined them with my own opinions to create this list.

10 reasons why your web analytics are failing:

You speak numbers to non-number people.

It takes a numbers person to dig though large amounts of analytics data, figure things out, and draw conclusions. However, most people aren’t “numbers” people.

Many marketers like charts and clear, action orientated data. Charts are good, numbers in red and green help, and so does simplification. Don’t present tabular data just because it make sense to you. Try and think about who you’re presenting the information to and how they like to consume information. Some people like tables, others like graphs. As online marketers make an effort to understand the audience on the web they’re trying to reach, so should they understand the internal audiences that they report results to.

The statistics are fuzzy.

It’s easy to combine different pieces of data and come out with a great conclusion, even if they don’t go together.

For example, did you know that Michael Jordan and I have a combined total of 6 NBA championships?

While that statement is true, the conclusion is a bit skewed. Yes, Michale’s 6 plus my 0 do equal 6, the fact is that that I didn’t do any of the work for those championships, but I’m still getting the credit as I was included in the statement.

In analytics it’s important to break out the data so that it makes sense, not just so it looks good. It’s easy to combine two pieces of information in ways that make things look really good, but in reality, is something being hidden?

The averages are flawed.

Averages are great unless there is a major spike or dip. Then they have a tendency to skew the data a bit too much.

Based on the graph above, you could say that we’re averaging 1652 people from StumbleUpon a day. But in reality, most days there were less than 50. The big spike just screwed up the average.  As quickly as that spike came, it can also disappear and making decisions based on the daily average isn’t a best practice.

Sometimes things just don’t work.

There are lots of things that can go wrong with the analytics from a website and that has to be taken into account. The tracking code could be implemented incorrectly, maybe some special tagging was setup improperly, there could be issues with site architecture or maybe there are just things that are out of our control.

Analytics isn’t perfect and the reporting is never going to be 100% accurate, but that doesn’t necessarily mean that the numbers are wrong.

The important thing is to fix the issues you can and work with the numbers you have.

You don’t understand the customer.

Why are people visiting our site? What are they doing while they are here? What stage of the buying cycle are they in?

Thinking that you know your customers is one thing, but you really need to watch their behavior and see what they are actually doing.

Maybe visitors are focused on research or maybe they can’t find what they’re looking for when they get to your site. These are things analytics can tell you if you look and once you know what your customer is doing, you can modify your site to fulfill their needs.

You don’t connect the conversion dots.

Getting visitors to the site is one step. The next step is making sure you have content that is going to satisfy their need. As stated above, analytics can help with this, but once prospects fill out the contact form, what happens next?

How many decisions are made by looking at top level analytics alone? Someone has to tie leads back to the website to determine what is working and what isn’t.

For example, in a B2B situation, a whitepaper download may be bringing in lots of leads, but none are qualified. Maybe there is a CTA (call to action) form that is bringing in few leads, but they convert very well. Analytics can’t tell you what happens with a lead after filling out a form, and connecting that data is very important.

You don’t dig deep enough.

Looking at one metric in analytics and making a decision seems like a good idea unless you’re not seeing the whole picture.

A good example would be bounce rates to a landing page. Just because the bounce rates are high, doesn’t necessarily mean it’s bad. You need to dig into the data and find out the conversion rate as well.  Changing a landing page because the bounce rate is higher than normal but that also has a higher than normal conversion rate may result in lost sales.

You don’t tie in outside data.

Marketers should be looking at other online and offline marketing efforts and tie them into web analytics wherever they can.  Ideally, an online marketing program should track different sources for different outcomes such as: people from Twitter to conversion, knowing which conversions came from email campaigns and what offsite marketing tactics are working.

You don’t take the time.

Analytics isn’t easy. It’s not something anyone can do in an hour a day (except maybe those that read /a> of course). If website marketers really want to get valuable information out of analytics, they need to invest time and resources into talent that can make that happen.

Analytics can seem complex and yes, it takes time and talent to make sense of them, but in the end analytics can paint a picture of how users are interacting with a site, what the user behavior is, and point out ways to make your site more successful and profitable.

Bonus: 13 analytics tools to help you out.

• /a> – Social sharing button that can tie data into Goggle Analytics.
• /a> – Firefox extension that allows you to easily copy a URL and tag it with Google Analytics code.
• /a> – Firefox extension that quickly shows if Google Analytics is installed on the page or not.
• /a> – Firefox extension that enhances Google Analytics.
• /a> – Another Firefox extension that enhances Google Analytics.
• /a> – Analytics for social relationships.
• /a> – URL shortening with analytics.
• /a> – A way of tagging URLs with Google Analytics code so they can be tracked on external sites.
• /a> – Microsoft Excel plugin to pull Google Analytics data directly into Excel.
• /a> – Scans a website to find out what pages have analytics installed and which ones don’t.
• /a> – Firefox plugin that debugs analytics.
• /a> – Heat mapping tools that allow you to visually understand user behavior.
• /a> – Heat mapping tools that also track where uses are when they bail on a form.

What are some of your favorite web analytics tools?

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