Tag Archives: search

Customer Lifetime Value

“Anything worth selling is worth selling twice.”

-Ferengi Rule of Acquisition #12

Big data rules everything. With a large enough sample size, sellers and marketers can glean just about any piece of information they could ever want out of datasets. This one aspect of online sales- data collection- is a key tenet of the industry, allowing companies to tighten their marketing efforts, save money where it’s being wasted, and anticipate results, including costs and revenue, well in advance.

Perhaps the single biggest roadblock separating retail sales from online is that in a majority of cases, branded products are provided to brick-and-mortar stores from outside vendors. Because of this, vendors selling products inside often aren’t privy to data collected. All of that information (names, purchase dates, reorder rates, etc) goes to the store, and transactions are processed through the store’s own processors. It’s a closed system, and retail vendors are often left in the dark with only the number of products sold, accompanied by very basic gross/net revenue information. Business decisions are then made based on such broad, general data, leading to slow growth or even worse.

This means that online sellers have a major advantage, in knowing both their audience’s “Cost Per Acquisition” or CPA, and their “Customer Lifetime Value,” or CLV. CPA versus CLV is an enormous component of the online marketing industry, so let’s break it down here.

Every cost associated with a customer making a purchase online is known as the CPA. Advertising spending, cost of a click that led to a sale, operating costs, and even staff wages factor into the CPA, all neatly wrapped up into a dollar amount. Let’s say our intrepid test customer Mike buys a product from us, paying $50 to have it delivered straight to his doorstep.

Mike found us by searching Google and clicking an ad link, and that click cost us $25. Add in the rest of the associated costs, and Mike’s purchase ended up costing our company $75 total, leading to the Mike’s sale losing $25 overall. NEGATIVE $25 therefore becomes Mike’s CLV up until this point.

Sounds bad, right? Well we consider that $75 Mike’s CPA. Now with all of the time and effort and funds spent acquiring Mike as a customer, he’s become loyal to our company (and with data collected per sale we can see each time he orders), and chooses to purchase our product from us regularly. Each time he does, that adds to Mike’s CLV, and we can watch it grow with each purchase. Over the course of the time Mike is a customer, he spends $2000 total. Mike’s CLV jumps to $1975, and over time with the proper data collection, we see enormous profits taken from just the one customer. It’s why Amazon sells its famed Kindle at hardware cost- to build CLV- and it’s brilliant.

If we didn’t have that data available to us, we wouldn’t be able to see CLV and CPA, potentially causing our business to treat customers simply as yet another order number. With these figures here, we can see that keeping loyal customers loyal reaps great rewards. There are a few things we can do to “bump up” customers like Mike’s CLV, as well! Well-targeted email marketing and drip campaigns can be hugely successful in retaining customers, as can marketing on social media! Remarketing, or specifically-targeted marketing aiming to have customers reorder, is another successful tactic often used online.

Just think. Having this data available means that we CAN take advantage of it. We can see just who reordered when, because of what specific piece of marketing. What does this mean? Increased effectiveness. Higher profits overall. The ability to keep customers coming back for more. And all of this means more success for your business.

Think about it. We know WE did.

Can local search backfire for Google?

Google has been moving heavily into increasingly localized search recently. It used to be, triggering a local search required a regional qualifier, like a city name.

Now, many of the same searches will go directly to intensely local results without qualification. They rely on geo-location of your IP address, or perhaps your information in your Google profile.

Now, the reasoning for this is sound, from a business perspective. Continue reading

Google Chrome: No Need For Open Search

I’m a big fan of Google Chrome. While working on one of our travel websites located at Hawaii Tours I stumbled onto this gem. Not only does Chrome automatically suggest using a site’s Open Search engine when typing in the same domain you are on in the search bar – now apparently Google can identify standard search features such as search.php and serve them up in the same way. The site in question has no open search xml file and chrome still gives the option to use search.php. Check out the screenshot below:


You can verify for yourself that I never got around to making an open search xml file by trying the following link: https://hawaiitours.com/opensearch_desc.xml – which of course doesn’t exist and never has. If you want to check if Google has found your site’s search feature and included it just visit your domain and start typing the domain name sans www.

I’m personally not sure whether or not I think this is a good idea. I could see several potential problems where a site had several search features and it could be a bug as opposed to a feature. I suspect that simply adding an open search meta tag would resolve it.