App Store or App Storage?

In a recent article in Talking New Media, a writer with the pseudonym Alain Parkeat takes the Apple App Store to task for its incredibly bad design.

While I am not a frequent user of the App Store, every time I have to access it, I wince. For a company that hangs its hat on its relentless pursuit of perfection in design and user experience, everything about its App Store is slipshod and half-baked.

Really, you couldn’t do it much worse. The problems start right at the core of the whole App Store concept: in a rush to have the most apps, it’s necessarily assembled a collection of the worst apps. And here I am not just talking about the quality of the apps. Rather, I find I must tread warily with every search, because the App Store is riddled with frauds and imposters. Search on the trademarked name of a popular product, and you’ll invariably get not only that product, but lookalikes clearly designed to fool those who are not careful. They use deceptively similar names, logos and trade dress. They also are apparently allowed to use competitive product names as search keywords. Scariest of all, many of these lookalike apps are free – and thus likely to be nefarious ploys to gain access to your data or your passwords.

Searching the app store is also remarkably difficult. You think basic search functionality wouldn’t be too tough to implement, but with the App Store, you’d be wrong. Searching is about as literal as you can get, meaning that you better get your input exactly right, because the search engine isn’t going to help much at all.

This of course leads to categorization. Yup, the App Store is all over that, with 25 categories to classify a reported one million apps. I guess I’ll just click on the category “business” and start browsing. Clearly, with an average of 40,000 apps per category, this isn’t a very effective discovery mechanism.

But the App Store does feature apps, and since these apps are about the only thing you can easily discover in the App Store, they get enormous numbers of downloads. How does one become one of the few, the proud, the featured? Well, you need a lot of downloads first. Yes, if you want to be successful in the App Store, you better be successful before you get to the App Store. Otherwise, you better be very lucky.

Perhaps the most remarkable thing about the Apple App Store is that this is not some obligatory thing Apple threw together to keep customers happy. Indeed, it’s a major source of revenue, generating over $1 billion per month, with Apple helping itself to a nice share of the pie.

For most publishers, the harsh reality is that the App Store is, more accurately, the App Repository. Apple’s value is providing a central location for apps and easy downloads. As far as discovery goes, you’re on your own. If only there was an app for that!

When You Centralize Data, You Too Become Central

One of the ways that bricks and clicks are starting to merge is through a technology called beacons. It’s all the rage in retail right now. Acme places specialized transmitters in each of its stores. When a customer with an Acme app on his or her phone enters the store, the transmitter can push real-time, targeted promotional messages to that customer. Even better, the customer doesn’t have to access the app – it’s designed to wake up and alert the customer.
Cool stuff, and what better time to target customers then when they are inches from your cash register. Yet, not every promotional message generates a sale. Despite your best efforts, the customer leaves your store. Now what?

This is the interesting area where a start-up called Unacast is playing. It wants to marry the data you have on the customer who just left your store to online ad re-targeting platforms, so you can continue to advertise to these customers, in the hope of making the sale. Again, cool stuff.

But Unacast is taking this a step further. It is going around to all the manufacturers of these beacon transmitters and positioning itself as a central back-end data repository for this valuable shopping data. As a central repository, Unacast can watch where else the customer is going to gain both marketing and segmentation insights. Did the customer go to a competitor? Better re-target with your best deal then. Does the customer go to discount stores or high-end retailers? A retailer can not only learn a lot more about its customers, but is better able to serve them highly customized advertising messages as well.

It’s a data bonanza that will yield endless benefits, and Unacast is moving fast to lock up this opportunity. That’s important because there’s typically only room for one central clearinghouse in a market.

This is a model you might apply to your own vertical. If you are seeing numerous companies collecting similar pots of proprietary data, chances are there is both a need and an opportunity to be the central repository. Why you? Why not? You’re established, know the data business and you’re a neutral player. Central clearinghouse opportunities typically go to the fleet of foot, especially now because the value of data is much more broadly appreciated. Do you have your running shoes on?

Customer Privacy: Get Serious

You may have noticed the news last week that AT&T is rolling out new, ultra-fast residential Internet service in Kansas City. But along with that announcement came a novel pricing structure: the service is $70 per month, or $99 per month if you want your online activity to remain private. Leave aside the ethical and moral arguments for a moment and just look at the optics. There it is in black and white: AT&T will monitor your web searches and browsing activity in order to serve up tailored advertising unless you pay a hefty premium to avoid this. Unsurprisingly, the press uniformly reported this as a “privacy premium” or “no-spy fee.” You are left with a creepy feeling about AT&T, and this pricing approach certainly doesn’t work to burnish the company’s brand. Also, is a typical residential customer really worth $350 in advertising revenue? This feels more like a penalty fee than recovery of foregone revenue.

And what about the ethics and morality? Many will argue, plausibly, that this is no different from what Google, Facebook and many others do – offering you services where they monitor your activity in order to better target advertising. All AT&T is doing is giving you an (paid) opt-out opportunity.

The small but important differences I see are two: the AT&T service is paid, and AT&T is in a privileged position as the on-ramp for its customers. If you offer a paid service, the business model is explicit and understood by both parties. Trying to further monetize your customer is good business, but it’s also a delicate business because you risk killing the golden goose. And when you put yourself in the position of having access to sensitive customer data (even if you don’t think it’s all that sensitive), you are in a trust position. When trust is lost, it’s very hard to get it back.

The implications for B2B data publishers?  Paid subscription services come along with a customer expectation of privacy. After all, your subscribers are using your databases to check on competitors, look for acquisition candidates, plan business strategy and lots of other sensitive activity. Even the perception that you are peeking into their activities for anything other than system maintenance represents a huge breach of trust that can seriously damage your brand and your business. Consider, as just one example, the blowback Bloomberg experienced when its customers learned that Bloomberg editors could and did access their accounts.

Think hard about your own approach to customer privacy. Don’t fall into a common trap of thinking that because all this customer data is so accessible to you, it’s yours to use. It even filters down to everyday activities such as managing customer engagement. Contacting customers that haven’t logged in in 60 days is one thing; calling them up to discuss their recent queries probably crosses the line.

Privacy doesn’t get discussed much in the context of B2B data products in large part because it is an implicit customer expectation. But if pricing models such as this AT&T model proliferate, publishers that are serious about customer privacy will likely have a strong competitive advantage.

Take Action on Actionable Data

Actionable information has long been a  cornerstone of infocommerce, and recent stats from MediaRadar, a 2011 Model of Excellence company which will be featured again when DataContent moves to Miami as part of the all-new Business & Information Media Summit, provides a fine example, and in a way that hits home for many of us. Built on an understanding of advertising sales workflow, MediaRadar makes full use of its database to yield a highly valuable product. At core, MediaRadar provides sales leads to media companies by tracking who is advertising where. At a higher value, it offers benchmarking to its clients by allowing them to easily see how they are doing versus the competition. At the highest value, it creates an analytical layer, tapping into its data at an aggregate level to find trends and insights. Consider these recently released MediaRadar insights on email advertising:

• As annoying as everyone says email is, advertisers like it. Over a 12 month period, MediaRadar identified 19,915 distinct B2B advertisers who bought an email advertising program
• A third of advertisers buy only email advertising
• Those advertisers who buy via email rarely buy the full range of media options. For example, 54% of  advertisers buy print advertising with email ads,  and 47% of advertisers buy other digital advertising along with email ads
• In a remarkable trend, 44% of email advertising now being sent by B2B media companies are dedicated email blasts, and the trend appears to be increasing
• A lot of email-only advertisers fly under radar and are hard to identify
• Response rates vary significantly by market
• 30% of e-newsletters carry only a single ad; 66% carry from 1 to 3 ads, and 17% carry 5 or more ads

Most data products have this multi-dimensional potential, which can often open up new revenue and even new markets. Is your dataset working as hard for you as it can?

P.S. – Speaking of data and analytics, I would like to ask you to take just a few minutes to complete our new email benchmarking survey. It’s quick, and you’ll not only get a warm feeling of satisfaction from helping to make the entire industry smarter, you’ll also get a free executive summary and key data charts.

A Plug and Play Publishing Platform?

Dun & Bradstreet Credibility Corporation, an independent company with such an extensive relationship with Dun & Bradstreet that it was even granted use of the vaunted D&B name, has been targeting smaller businesses with not only traditional D&B credit products, but a beta offering of what might be called a “next generation credit rating,” a so-called credibility score that examines the company from a number of different non-financial perspectives, yielding a letter grade and presumably an online trust mark that companies can use to build confidence with both suppliers and customers. It’s a clever and ambitious concept. And there are some serious resources behind this venture: Boston-based private equity firm Great Hill Partners is backing the venture with in excess of $100 million. In an apparently related development, D&B Credibility recently announced the launch of the “Credibility Review Business Marketplace,” an innovative move to partner with publishers to extend the reach of its credibility ratings, by turning B2B data publishers into a sales channel. D&B Credibility indicates a number of publishers have already signed onto this program.

I’m still waiting to get full details on this program from the company, leaving me free to speculate wildly, a favorite pastime. Here’s what I picture:

D&B Credibility has licensed access to the full D&B business database, and this provides a content backbone to the initiative. When it emerges from beta, D&B Credibility will presumably move to aggressively sell credibility scores to smaller businesses. Each sale yields a richly detailed business profile (part of the score involves “transparency,” so participating companies are obliged to supply all sorts of useful information – smart!) that the participating company is highly motivated to keep current (yielding high leverage user-generated content). These enhanced listings are added to the basic listings in the content backbone.

To accelerate adoption of the credibility scores, D&B Credibility will partner with publishers on an intriguing offer: a self-maintaining database offering a growing number of credibility scores, that the publisher can access for free in exchange for selling credibility scores (and anything else it wants) to companies in its vertical market.

As I envision it, publishers would simply flag the companies they want to appear in their vertical market buying guides, getting in effect a customized view of the larger database. The publisher codes each company against its own vertical market taxonomy, and presto-whammo, it’s got a high quality database that costs almost nothing to build or maintain. All it has to do is sell the credibility scores and other advertising to companies that it has flagged. For trade magazine publishers in particular, selling ads is a true core competency, where database development and maintenance is not.

What’s in this for D&B Credibility? It gets a revenue cut from every credibility score a publisher sells. It gets all the company information being collected (everything goes into its backbone database), and it gets valuable help in building momentum and acceptance for its scores.

Is this a good deal for publishers? When it comes to vertical market buying guides, the majority of publishers have unevenly maintained databases with limited company information. This approach not only goes a long way to solving the twin issues of data quality and data depth, it also provides the ability to sell a new and useful offering – a B2B trust mark.

Fascinating stuff, and well worth watching as the product rolls out from beta.