• Posted by Melanie
• 08 November 2011
• E-Commerce Design, Ecommerce SEO

The very nature of the term actionable implies the creation or motivation of your content's ability to convert. However, since the Google Rater Handbook leak, we also know that Google uses words (content) to determine, rank and display search results based on the users intent to buy. When a searcher queries something like "Buy US Flag", this searcher's intent is to shop.

According to Google, search queries can be classified into action queries ("do"), information queries ("know") and navigation queries ("go").

So the very content we use on our pages to drive conversions can also help Google deliver you more "doers" than"knowers". The challenge, as it has always been, is to create content which:

• Answers all of the shoppers questions
• Engages him
• Causes him to make a purchase (add to cart)

Some of these things we are inherently going to be quite good at, based on our own personality and experiences.... However, I rarely see shop owners who hit all 3. Lets have a look at some examples:

This example is your basic "Information Overachiever". There is so much information here that as a shopper I am perhaps even overwhelmed. The lack of natural content coupled with the very direct add to cart area may make this page uncomfortable for many shoppers. Kind of like that guys who follows you around the store from the door and won't leave you alone.

Here we have a much softer sell, but it lacks the "wow" of the informational listing. This format creates trust better and delivers a more comfortable feel to the decision to make a purchase. Keep in mind that many times your needs will be specific to your products or niche as well.

This is a nice product page layout. Easy to read, scan and understand. It is a significantly "softer" sell, but instills confidence to make the purchase. Visually the images are large enough and plenty, while the information is both natural and detailed.

So we can see that different layouts have different strengths, but what about the actual words?

The words that you use to describe your content should be presented naturally in the same manner as you would attempt to sell the product on the phone. Using alternate names, slang and layman terminology will help Google deliver your products for the natural language people search with. There is not point in ranking number 1 for a roro widget, when everyone refers to it as a rooo for example.

Lastly, to help the search engines understand the actionable nature of your product pages you should includes words such as "buy", "purchase", "shop online" etc. When including these types of action phrases it will be most effective to string them along a keyword for the product. something such as "When buying a roo online, you have several options for color, size and delivery". It's way too easy to get spammy when trying to create actionable content... so pay close attention to the perceived intent of the words you chose.

• Posted by Melanie
• 05 March 2010
• Ecommerce Marketing, Small Business

Are you feeling that "spring is coming" bug? Well, rightfully so, because right now is the time to plan for your spring marketing and tidy up a bit from the winter sales.

Most ecommerce stores have some season trending. This is very unique to both the store and the product line. So a store selling green widgets can be expected to trend sales in a similar manner to another shop selling green widgets... But not exactly, as they are many additional metrics that influence one's sales.

So you should be planning for your spring and early summer products, marketing and trends now... So that you are prepared for this period in your business. Even especially if traditionally spring is a low volume period for sales.

Here is a checklist of sorts to help you get started for planning any marketing period, including this spring.

Trending: Unless you site is brand new, you should have some sales and traffic data that you can use to trend or predict the data for the upcoming period. I tend to concentrate on sales and traffic. I use both as they can be very unrelated for some websites. There are clearly some periods where even if the traffic is there, conversions are down... So to properly trend our potential for this upcoming period we should use both. You may even have other metrics such as, bounce, average order or similar that are specifically a target for your store.

Gathering the data is the easiest part, as you should be using a proper analytical stat program to record your data. We will use Google Anayltics for our example, as it is very popular.

When gathering your data, we are looking for specific trends within the matching period from previous years to predict, affect and produce a proper marketing plan for the upcoming period. So login to Google Analytics and lets get to work.

So we will pull data for all of March, April, May and June to cover our bases and provide some overlap. You will want to pull at least on year, more if you have them. I would not be concerned with using more than 3 years as things in your business and on the web change very quickly and it's not likely to be very relevant any longer.

The example store I am using had a 2009 average daily visits of 279 uniques a day. There conversion rate for the year was 3.87%. You can see by the graph that holiday traffic is a crucial part of this store's success and that spring is rather soft by comparison. You can also see that our spring period it right at or just a bit above average for them.

2009 Unique Visits

We can clearly see from this data, that traffic could be improved for this period.... Especially because they have a genuine promotable product line for spring sales. Now let's have a look at conversions in relationship with this traffic... Do they convert well in this period?

2009 Conversions

We can see that last year, while traffic was average, they converted pretty well the end part of spring. looks very much like March should be our focus area.

Next you will determine your trend. You can use data from previous tears to do this... But if you lack that data no worries, this old restaurant manager has the equation to get you close.

Obviously, any data you do have is clearly relevant... But let's say you have little or none. To determine your current rate of growth in both of these metrics we will poll the last 4 months. This is a weighted process with the greatest weight on the most recent data.

This applies to any metric. Gather the data for these metrics for Nov 2009, Dec 2009, Jan 2010 and Feb 2010.

We will start with March's data from last year 8,043 unique visits and a conversion rate of 3.13%.

• Nov 2009 8,789 & 4.85%
• Dec 2009 14634 & 4.5%
• Jan 2010 7,604 & 3.67%
• Feb 2010 6,395 & 3.52%

For this purpose, with holiday data so much higher we will exclude Nov & Dec, unless we have 2008 numbers... Which we do. Nov 2008 7,419 & 3.18%, Dec 2008 8,861 & 4.00%, Jan 2009 6,146 & 2.99% and Feb 2009 5,742 & 3.22%.

Here is the math:

The math is easier than it looks....

Step 1: YOY growth, which is simply current year minus previous year.

Step 2: Trend. Like I said we will weight this for the most current monthly data. So 100% being the whole, we will use 12.5% from Nov & Dec, 25% from Jan and the remaining 50% from most current Feb. Something like this:

• 1 part : Nov. 18.49% plus Dec. 65.15% = 83.64 divided by 2 = 41.82%
• 1 part: Jan. = 23.72%
• 1 part: Feb. =11.37%
• 1 part: Feb. =11.37%

= The whole (88.28) divided by 4 = (22.07%) Current Trend

Last year March (8043) apply trend 22.07% = (1775 growth) This year March forecast (9818) unique visits... Into 318 average daily visits.

Check our math:

Last year average daily visits March = 260

This year forecast = 318

% of predicted growth = 22.3%

**Note that rounding changes these just a hair, but not to worry this should be pretty reliable data.

So this "math" can be applied to the entire period as a whole, or each month individually computed. The point here is to have an idea of what to expect, AND and basis to measure the effectiveness of your marketing this spring. For example if you did nothing last spring, and you know (above) what to expect if you do nothing this spring... Then you have a pretty good benchmark to measure the effectiveness of a marketing campaign this spring.