Posts Tagged ‘local’

Mobile Local Search: Where to Begin?

Wednesday, May 13th, 2009

My last LSN column attempted to look at where we are now with the mobile local opportunity: if not entering the oft-predicted “year of mobile”. Since then, the Kelsey Group’s U.S. mobile ad forecast has shed some more light.

The top line figures project mobile ad revenues to grow from $160 million in 2008 to $3.1 billion in 2013 (81.2% CAGR). Current revenues are largely made up of SMS advertising, where the most reach and scale exist.

But growing penetration of smart phones (now less than 20 percent of U.S. mobile devices) and devices that can view full web browsers will cause search to eclipse SMS as the leading revenue category by 2013.

This is also supported by the growth of the mobile web — currently at 63 million monthly users (comscore) . You know the story: The iPhone has raised the bar for mobile hardware, and copycats have begun to flood the market and compete on price.

Carriers have likewise begun to subsidize upfront device costs in order to drive long term data contracts. The price for touch screen based smart phones is starting to settle around $200.

Quickly sprouting application marketplaces will meanwhile provide the killer apps that drive the appeal and utility of these devices. This is all bringing the mobile web within striking distance of mainstream adoption for the first time.

Local Motion

The key point, as examined in the last column, is that local will be a big beneficiary of the resulting search volume growth.

The portability and location awareness of the mobile device is highly conducive to local search, meaning local intent on the mobile device will outweigh the roughly 11 percent of searches online that are local (TKG).

Google agrees, citing that local search on the mobile device indexes higher than the desktop by about 2x to 3x. This lines up with the Kelsey mobile forecast data that show local searches make up about 28 percent of mobile searches.

That figure will grow to about 35 percent by 2013. But more importantly, revenues from local search will surpass 50 percent of mobile search revenues. This is due to the premiums that will be placed on content and advertising that’s location targeted to mobile users.

Given a new form factor, new ways of thinking will be required for content delivery. It won’t just be a matter of transferring online models to a mobile device, and measuring clicks, impressions and the standard set of online performance metrics.

Other content and ad formats will evolve based on the portability, immediacy and location awareness of the device. In addition to the CPCs and CPMs that rule the online world, this could include more pay-per-call models in some categories (i.e., professional services) or cost-per-action models in others (i.e., retail)

This can involve retail data feeds (i.e. Krillion, NearbyNow) which tap into POS inventory systems to indicate prices and availability. The fact that the phone gets you closer to the point of purchase can also bridge the online-offline gap that’s traditionally been a source of uncertainty in local search campaign effectiveness.

Now What?

So the opportunity is there… now how do you tackle it? Application marketplaces have standardized and lowered the barriers to distributing mobile apps. But there are still barriers.

Like lots of things (i.e. writing columns), one of the biggest challenges is figuring out where to start. Given finite development resources, where do you prioritize developing apps for a highly fragmented world of mobile operating systems, devices and formats?

SMS has the most adoption and reach (i.e. all cell phones), but the iPhone has the most engagement. Between the two lies a spectrum of options including web apps, and java apps that have to be customized for a long tail of hundreds of devices.

Yellow pages publisher Dex just launched a series of mobile products that attempt to hit up all the points of this continuum.

“It’s all about extending your reach through different devices and platforms,” Dex director of mobile and personalization Deborah Eldred told me. “We want to make sure we hit the mass of the subscribers but also hit the mass of usage, which is smartphones.”

This represents a common yellow pages attitude lately to jump on the mobile opportunity. They can afford to do so — Though it’s often clouded by valuation declines and dept loads, Yellow Pages publishers still have a fair amount of cash on hand. But what about companies that don’t?

“We’ve had a lot of success with our iPhone app, and we know we have to put more resources into mobile development,” says Sonia Survanshi McFarland, Yelp head of business development. “But you have to quantify how much it’s going to cost from a human resources perspective and weigh that against what else that developer can work on.”

The Short Answer

Perhaps the “short answer” is to look at mobile platforms whose data consumption is growing. These are iPhone and Android according to AdMob data. And what about the Palm Pre? Could it be the dark horse, given the levels of market anticipation it’s seeing?

android

Yelp’s McFarland points out this is risky territory – iPhone development came with the benefit of 12 months of usage that predated the app store. This meant usage metrics were available in advance of app launch: Not the case with the Pre.

Windows mobile 7 is likewise unproven territory with no guarantee of release date or quality. Many carriers and device manufacturers planning Q4 releases (read: holiday season), could therefore bank on the safer option: Android.

The platform question is still an open one, and like a lot of things “it depends”. Lots of factors come into play: target demographics, advertising goals, verticals, etc. The question also comes down to whether you want to go after reach or engagement.

side effects of relafen

Over the next month, I hope to answer some of these questions by getting down and dirty with carriers, local media publishers, and app developers. The result will be a TKG report, which I’ll come back and summarize here. Stay tuned.

The Facebook Strategy

Monday, April 27th, 2009

Facebook has had a hard time in attracting advertisers to their site. Mostly because advertisers have not figured out how to monetize or receive as high an ROI as they do when they advertise on Google with AdWords. As it sits right now, Facebook really only offers display advertising without the demographics guessing game so it is not really a surprise that Facebook has not attracted as many local advertisers as they would like.

You might be asking “Why the heck would Facebook want to attract local advertisers?” The answer is simple: user experience. Not only do users not want to see ads like the ones you see below, but in the conversations I’ve had with people at Facebook, they don’t even like them.

facebook-ads

Besides the fact that Facebook is trying to tell me I need to workout and go get my teeth whitened, it isn’t relevant, and therefore I can guarantee that they have poor click through rate. I don’t know about you, but the last time I checked poor click through rate and lousy user experience doesn’t usually equate to great revenue. So what should Facebook do? The answer is simple, make it easier for local advertisers and search marketers to target relevant users.

Data is King

diarex


Facebook is an information company just as much as they are a social networking company. Their biggest attraction as a company, from a marketing perspective, is the fact they know everything about their users. They know what kind of music they like, where they live, how old they are, where they went to school, who their friends are, and much much more. In fact, they could potentially be the most valuable market research company out there because users are volunteering this information and have no reason to lie about their answers. It is real time information where we can actually see and predict trends amongst demographics before they happen. They even track their users click paths, navigation summary, and as you can see below, if there are two ways to get to the same destination on the same page they track that too.

facebook-clicks

It starts with categorizing
Currently when advertisers go through the process of setting up a Facebook campaign they are not asked what kind of company they are, only what demographic they service. So why wouldn’t Facebook categorize their advertisers? Wouldn’t it make sense for advetisers to categorize themselves when they sign up or before they create a new campaign? Instead the only real categorization Facebook can make of its advertisers are amount spent, targeted demographics, and keywords. But that is not enough. Completely different companies could be targeting me (i.e. teeth whitening and free stimulus check companies) and two different companies could be targeting the same keywords.

If and when Facebook starts categorizing all their current and future advertisers they will be able to track performance across specific verticals, whether they are small businesses, national chains, or just scams like this ad:

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They will be able to utilize this by implementing the my next suggestions: keyword and demographic information clouds.

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Information Clouds
Yes I know, we all have had about enough of the hype about information clouds, cloud computing, or cloud anything for that matter. However, now that Facebook has all of its advertisers placed into categories we can take real advantage of that by letting advertisers help each other out. We now have the ability to let a small business with a $100 per month budget take advantage of information and data that would have cost 10’s of thousands of dollars to put in place. You may be asking how do we do this. It is simple, store all advertising data by advertiser category, demographic, economic, and city population.

Facebook first needs to overlay the United States with population data, demographic data, and economic data such as median income. All of which they can easily get from the census bureau. Yes,the census bureau data is a little old but it is a great starting point. After they do this they will easily be able to place Facebook user data over those information layers and determine their market shares per neighborhood, cities, etc. So what does this give us? This tells Facebook where their advertising will be most effective compared to other advertising sources due to market share.

Now that we have our data layers in order, let’s bring this all together. Let’s say that I am Widget, Inc. and I sell blue widgets to people . I only have a budget of $125 per month to advertise on Facebook and I can not afford anymore because of the recession. Why should Facebook rely on that user to know what demographic is going to work best for Widgets, Inc? You have no way of knowing that the current demographic Widgets, Inc is currently targeting will be more profitable or successful than any other demographic. The answer is simple: let the users tell you, and no, not by the little thumbs up and thumbs down icons, but by tracking click data and conversion rates.

You might be thinking “but we only have $125 spend and thats not enough for a good test size”. You’re right, it isn’t, but remember that Facebook’s strength is in its numbers. The entire crazy valuation it received was based on the number of users and the information it had about its users. So wouldn’t it make sense for Facebook to combine all their advertisers into one information cloud, into one database. If Facebook implemented the categorization method they would be able to track all companies that sell blue widgets and treat them as a whole. Now, instead of $125 in spend data we have $20,000 in data. Each company still holds unique traits such as economic climate, geographic are, etc. but now each advertiser can learn so much more and therefore they can earn so much more from their dollars. This new data set can go much further than any one widget company’s data could. In this solution, the advertisers help Facebook find out what demographics are perfect for specific verticals and users tell Facebook which companies and ads they like best.

Imagine if advertisers had a feature similar to the current “You might also know” section where Facebook suggests other people on Facebook you might also know and have not yet run into. Well what if we had a section similar to this entitled “Demographics you might also like” where advertisers will receive suggestions from Facebook itself based on data where Facebook has noticed great performance amongst the demographic and the category of the advertiser.

Template Ads
Ad copy and content is one of the biggest things that hold up marketing efforts for any company. So if you leave that to the advertisers to figure out, you are leaving money on the table. Not only are you leaving money on the table but you are also assuming that the advertisers ads are so good they will see ROI and spend more with Facebook. This is not a good strategy. Google recently launched templated display ads where users can simply pick out the ad they like and fill in the text right in the Google UI. This increased both user involvement and the number of ads made.

Facebook could come up with ad content and ad pictures that captivate their audience and encourage users to click through. This obviously would be done for each vertical and eventually specific verticals within geographic areas. Now we won’t stop there, after the ads are made we will help distribute them to our advertisers; letting them know we have completed tons of market research, design, and testing on there behalf, for free. We will then let the audience determine which ones they like best by analyzing click through rates and if they became a fan of that business on Facebook. The more hands on and easier it becomes for the advertisers to take advantage of the jump start that Facebook has provided the easier it will be to implement A/B tests internally without relying on the users to do so.

A/B Testing
A/B Testing is something that every company should do for every part of their marketing, but they don’t. So what does that tell us? We should not rely on customers doing this. Once companies utilize the tool above we will have a large enough amount of ads being used that are based on the same template framework to where we can now calculate internally which ads are performing best (i.e. Computer ad #1a or Computer ad #1b) without having customers individually run these A/B tests themselves.

This same type of internal testing methods can be used across all aspects of the advertising campaigns, not just the ads. It can tell what geographic areas respond to specific industries best, which education level becomes fans of businesses the most, and so on. With this testing being done and the amount of users Facebook has, they can easily become the smartest advertising platform around, and dare I say even smarter than Google once implemented .

Math doesn’t lie
The data really does go much deeper than click through rate and fan conversion rates. When referring back to demographics, population sizes, and economic data we can determine that in situations like 22-35 year old mothers with an average household income of $150,000 ads with a coupon offers are not necessarily the best, but where the median income is $75,000 it actually is the top performing ad based on click through rate. Math will not lie to us. Math is not opinionated and it is not emotional. Facebook will soon be able to say they provide the maximum amount of ROI possible to each user because Facebook will continue to grow and learn itself as advertisers spend more and more on Facebook. With the combination of best possible Maximum ROI, ease of use, and a built in marketing expert (the new system that is created) the question won’t be will advertisers spend money on Facebook, but how much.

Local Search News Podcast - Episode 1

Monday, April 6th, 2009

So we finally got around to putting together a podcast for Local Search News! It has been in the works for some time but it finally is here. We will be trying to put one out every week from now on. In the first episode I had Mike Belasco join me to discuss recent happenings in the local search world and a couple seo tips as well.

Here is a brief overview of what we disucssed and some screen shots for you reference of what we are talking about in the podcast:

Google Onebox Change
Google no longer requires a geographic modifier inserted into the a users search for some broad phrases and will show a Onebox result based on the users location when the search is conducted. We had noticed an up tick in referrals from Google with no geographic modifiers and wrote an article on it here.

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Google Doesn’t Know How To Work Adwords

We then ventured a little off subject and discusses how Google is now placing Adwords for local searches as seen below:
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But when you click on the ad they take you to a search for “pizza” but it is for San Francisco. They probably should have a lower quality score because of this :)

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Microsoft’s New Onebox
After Google we discussed that Live.com now has a Map next to their local map and pretty much received no recognition for it as we talked about it here .
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Twitter Mobile
Mike Belasco pointed out that on the Twitter mobile profiles have dofollow links.
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We talked about much more. Listed to the podcast for much more. Have an idea you want talked about or an idea for the Podcast? Drop us a line in the comments and let us know.

Local Search News Launches

Sunday, January 4th, 2009

Welcome to the new Local Search News! Local Search News is a new online magazine where you can find out about everything local. We cover everything from SEO tips, latest news, partnerships, acquisitions, and anything else that involves local marketing.

We have compiled a nice amount of highly qualified contributors for the site, here are just a few:

Steve Espinosa

- That’s me. I have spoken at plenty of search conferences on Local Search, Video, User Intent, and just plain SEO. I founded BuzzSpot, a local tv marketing  + seo synergy company which was later bought by Search Initiatives in 2008. Currently I am Director of Innovation at a Local Search Marketing firm that has thousands of clients. I am also a column writer at Search Engine Land, and technical editor of an upcoming Video SEO book.

Andrew Shotland - Andrew is perhaps one of the most experienced local seo experts in the industry. He has worked everywhere from Showtime.com, NBC.com, to InsiderPages.com. He has plenty of experience in IYP optimization and local search marketing in general. Andrew writes regularly at his blog called Local SEO Guide.

Will Scott - Will Scott owns a successful Local Search Marketing firm called Search Influence. He is a very experienced search marketer and also speaks at events like SMX.

Michael Boland - Michael Boland is one of if not the leading search analyst in the Local Search world. Currently Michael is an analyst at The BIA Kelsey Group, at moderates numerous local search panels at Kelsey Group conferences as well as SES.

Ben Saren - Ben Saren is the CEO of City Squares, a local destination site based in New England with a very large user base. Ben has a unique qualification to contribute to Local Search News as he has the opportunity too view literally millions of real time local search phrases and how each user interacts on a local level.

Mike Belasco - Mike Belasco, owner of SEOverflow is one of the original Local SEO gurus. His blog was awarded the best Local Search site of 2006 and he has had the opportunity to help hundreds of local businesses get found on the web. horse adoption premarin

Aaron Irizarry - Aaron will be covering living in an SEO world while still keeping your site looking good. He will tackle on the issues that come along with HTML, CSS, and SEO. Aaron also writes on his own blog at This Is Aaron’s Life.

Every week we will have a weekly recap on all things local that happened at this site, and others we like too. Soon we will be publishing a bi-weekly podcast as well.

Web Reference Building Tips

Sunday, January 4th, 2009

One of the first things most local search marketers have on their to do lists is getting their listings to appear in a Google Onebox at the top of Google’s search results. To be in the box, you usually need to be in Google’s top local search results. And one of the major factors that influences that are “web references.” Web references aren’t links, but in local search results, they act similarly to how links can boost a page in “regular” search results. Here are some ways of quickly accumulating some great web references and bump your local listing towards the top in Google

What is a web reference?

Google crawls local sites, internet yellow pages (IYPs) and other sources to gather as much information as it can about all the local businesses it has in its index. When it finds a page referencing a business it knows of, it then places that page in the “Web Pages” section of the Google local listing and adds whatever data it has gathered as it sees fit.

1) The more categories the better naprosyn

When creating your local listing in internet yellow pages or local search channels, make sure to add as many relevant categories as possible. Most typical IYPs will have City+Category pages made throughout their website for Google to index. So if you add your listing to two relevant categories, when Google crawls those pages, they will both be added as to separate web references.

2) Coupons are more than just an incentive

Google allows you to create coupons to add to your local listing to use as an incentive for customers to choose your business or help market current promotions. What they don’t tell you is that Google also crawls its own coupon pages and can also apply them as a web reference, as well as you can see at the bottom of this example:

google-coupon-reference

3) Throw a party

After you have been successful in the first two steps and getting some great web references, throw a party. But wait, don’t forget to add this party to local event sites like meetup or Yahoo! Upcoming. Google also crawls these sites for local content about the businesses it knows of and, you guessed it, attributes these as web references:

upcomingweb

Try these tips — there’s a good chance your competitor is not, and they might give you and advantage they’re missing out on.

Taking Advantage of Trusted Sources

Saturday, January 3rd, 2009

So here is a dilemma, you have new site that is not ranking well in natural search but you did gain some traction with my article on how to get more calls on Yahoo! Local . Now you really want to get placed organically as well, right? Instead of cursing the mythical Google Sandbox, do something about it. Like we said earlier your site is too new and you’re not ranking for one reason or another, let me show you how to take the easy road out. Just utilize other trusted sources that Google likes and will rank with the right content.

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Get Your Own Listing to Rank

One tactic I use a lot is to actually link to your optimized Y! Local Listing that you created which is more likely than not already in the Google Index. Then just send a link with anchor text for let’s say, “Lake Elsinore Plumber” for your index page of your site to your Y! Local Listing. The result typically looks something like this (the one on the bottom):

yahoo-local-result

This is similar to the “Page 2 Bump Tactic” made popular by Andrew Shotland.

This also increases your online ubiquity, which we all know Google loves to see and helps you out in the Local Search Rankings because they find these pages with your business on them and add them as Web Reference to your local listing on Google. This can be done with a couple of other listings like Yellowbot, Superpages, and City Search . You can tell if this has been picked up by the crawler if you check your local listing and look under web pages. You want to get as many web references as possible to boost your local rankings in Google Local.

Help A Directory Out

So let’s say you have been doing a lot of great reading on local listings at StephenEspinosa.com, Local SEO Guide, or Search Influence and you have done a great job getting your local listing to rank in Yahoo! Local. Now all you need to do is find the “City + Category” page that is most likely to rank in Google for instance. For example lets say you had a Murrieta Auto Repair business. Simply find the Search Engine Friendly URL like this:

yahoo-sef

Once you get that simply link to the Yahoo! URL with some good anchor text like Murrieta Auto Repair, then sit back and wait and watch the page move up the rankings like this:

yahoo-auto-serp