First, apologies to those who come her regularly for the lack of posts over the Summer. I have spent most of the time honing a model for how b2b might look in the future and this blog has not been front of mind. But the Summer is over and it is now business as usual. There is still pain all around us. Results from Centaur Media, where revenues have dropped by nearly a third in a year, will come as no surprise to anyone who works in this space. More cost cutting has been announced at Emap and RBI. The downturn in revenues is now affecting events as well as publishing and the online world remains challenging operationally commercially and strategically.
Nowhere is this more important than in recruitment. I went sailing last week with a recruiter in the finance sector. He was telling me how tired he was of job board offerings. Where is the innovation he pondered? For publishers the price point on job boards is very challenging. With the market thinking that £150 a job is a lot of money, it is hard to see how small publishers can compete with the mainstream job boards. The volumes that are needed to create a viable business are very large. You need to sell more than 500 postings a month to create a £1m business.
How can niche publishers add value both to compete with generic boards and to justify a higher price? One answer comes from an interesting US business www.jobvite.com.
This solution offers employers an application which plumbs vacancies into its employees social networks. Vacancies are posted on employees Linked In or facebook pages creating a viral access to audiences of potential job applicants who may not be actively searching for a post. This tackles one of the main weaknesses of the job board solutions. Their model requires potential applicants to be active. In our old print model we could push recruiters messages at possible applicants who had not considered themselves active. Reruiters will pay a premium to access these potential applicants.
Although I can see some real challenges for the jobvite model (getting employees to agree to using their personal networks for their employers interest is the obvious one), this represents a an innovative step forward. So much of our old model profits came from recruitment, we ignore the challenge of innovating new solutions for the online world at our peril. The question we should be asking ourselves is, how can we add value to the recruitment offering?
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- Jobvite Raises $8.2 Million Second Round For ‘Social’ Recruitment Software (paidcontent.org)
- Finding New Employees, via Social Networks (nytimes.com)
- Emap Inform chief leaves in cost-cutting (guardian.co.uk)
- Emap inform looking to cut 35 more jobs (guardian.co.uk)
One of the reasons so many media companies are in trouble is the simultaneous crisis in all revenue streams. It seems to many, that whatever strategy is deployed, the size of the potential revenue pot keeps falling.
Back in the sixities, almost all business to business titles were paid for. News about your industry was valuable and that value could be measured with money. Today nobody charges for news. In print, yields have been under pressure for some years. Online display advertising with it’s transparent measurability has given advertisers a legitimate stick with which to beat media owners. Where there has been success in selling online display the achieved CPM has been falling. Too much traffic, too little of it useful or enaged, consequent poor click through rates mean that much inventory remains unsold – a growing proportion for many – and what does get sold is at rates that are falling. Where once the choice advertisers had was limited by the number of titles in a market, today they are confused by so much choice.
We lost our way with recruitment. Where we used to charge thousands of pounds for a page of advertising, the job board model now offers an ad £100. In the recession prices here too are falling.
However we solve the current strategic conundrum, it seems pretty clear that unless we can push back the tide of prices tending to zero we don’t have a business. The truth is, whilst there are things we can do to make a difference the price of a transaction in the new world is unlikely to reach the heady heights of the old world. There are four steps that all media companies must take:
1) Set the fixed cost base at a level which is supportable by the new model. This means attacking some sacred cows and stripping away layers of management costs.
2) Improve the value of your advertising proposition. Seth Godin says,
“As long as your site is about something else and the ads are a distraction, you’ll see CPM rates drop. As soon as you (or the advertisers) figure out that creating online communities aligned with the advertising, where attendance is a choice by the consumer, then you’re creating genuine value.”
In B2B that means making ads relevant and targeted. Don’t give up on vertical search solutions. Keep experimenting – there are riches ahead for the media company that gets it right.
3) Audit every activity that leaves the building and assess it for value. Use that value audit to establish the prices that could be achieved.
4) Give up on the idea that you are going to survive by doing the stuff you used to do. News products supported by advertising are going to be very small businesses. Plan and implement a series of new product developments that will help you scale your business. Buy some expertise to help you do it.
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- Online Growth Failed To Offset B2B Media Companies’ Decline In ’08 (paidcontent.org)
- B2B Publisher Revenue Shifts Decisively Online (marketingvox.com)
- B2B Media Revenue Falls; Online Offsets Some Print Losses (marketingvox.com)
A study by Outsell (only available to subscribers) surfaces one of the underlying systemic issues affecting business media companies. They asked business to business marketeers in the USA what they were doing with the money they were no longer spending on trade press advertising. In summary the money went;
- 29% will be spent on the company’s own web site
- 21% will be spent on paid search and search engine advertising
- 17% will be spent on events
- 15% will be spent on other online community or special interest sites
Back in the days of Web 1.0 we used to talk a lot about the opportunities that arose from disintermediation. Now it appears that it is the business media companies themselves that are being disintermediated by their own customers.
One of the biggest costs of trading as a magazine publisher is distribution. Building a circualtion and then providing access to it for advertisers was the essence of the profit model. In the digital world, distribution is pretty cheap and marketeers are discovering that they can build traffic on their sites directly without relying on business media publishers.
The implications of this are clear. If we take the Outsell numbers at face value, even if we succeed with our online content models we might only expect to win back 15% of the money we are losing from print. That won’t support the costs of a comprehensive content model. If we are to win our full share of the digital cake we are going to have to think differently about the business we are in.
Last week I spoke on a panel at the E Publishing Innovation Conference and I reminded the delegates of Michael Wolffs book from the early days of the Internet, Burn Rate. In this highly entertaining book Wolff describes his adventures in raising money for start up companie in the febrile world of Silicon Valley. At the end of the book, he declares a worry. What, he postulates, if it turns out that the Internet revolution is not about media at all?
It turns out that he may have been right. Although content and media may be part of the solution for business media companies it should not be at the centre of strategy development. What we need to do is examine closely what our customers (the companies we used to call advertisers) are doing with their spend and help them to do it better. As I have argued before, nobody wants to buy advertising next to content, what marketeers really want is tools that help them sell more stuff. That certainly means we are in the lead generation business. We might also need to be in the business of providing widgets and applications and marketing services that improve the effciency of marketeers own websites. Of course content is part of what we do, but if we think it is the purpose of what we do, our revenues from “advertisers” are going to be modest.
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- No Website: No Business (startupprofessionals.com)
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I have spent the last couple of weeks reviewing some investment opportunities some early stage businesses. In thinking about whether to proceed I began to wonder about the next developments that will be needed to leverage the business media model into a workable and scaleable advertising based solution.
Most publishers complain that they have more inventory than they can sell. This, it is argued demonstrates how hard it is sell digital advertising to b2b companies. The volume of unsold inventory leads to price weakness and an overdependence on ad networks and backfill. When clients are persuaded to buy advertising too often the ROI is poor and click through rates are alarmingly tiny.
I think the analysis is flawed. It seems perverse to complain that there is too much inventory in the same way as it would be perverse to complain that we had too much circulation. The truth of the matter is that we do not have too much inventory, but rather we have too much of the wrong kind. We have discussed before that a key challenge for web sites is to build user engagement. A visitor to a site who arrives from natural search is unlikely to hang around for more than a page or three, and this is too little engagement to develop a high propensity to engage with advertising. (First challenge – increase user enagement)
The second problem is that the nature of our ad inventory is of little use for brand advertising. Brand advertsing requires a build of opportunities to see, reach and frequency. Standard skys, leaderboards and banners are not good at delivering that. To compound the problem we struggle to serve the right ad at the right time to the right user in the right context. So the next two challenges are to create inventory sets that enable our customers to develop brand as well as clicks and then to find tools which enable us to put the right ad in front of the right user at the optimal time.
The fourth challenge is arguably the easiest. We have to teach our sales people how to sell the digital opportunity. Most sales people in b2b come from a pedigree of selling “space”. Digital sales is much closer to the agency model, with every proposal bespoked against a clients objectives. Sales people are often frightened to admit they don’t know what they are talking about but this is easily fixed. (I am working with BEC Development in offering a primer course for anybody who wants to develop their digital sales skills-To get on a programme just go the Bec Development website and the fine folk there will help you).
There is one final piece of development you should get your teams to think about. The mobile device of choice for business people is the Blackberry. Mobile browsers are not great, but b2b websites are none the less missing out on an opporutnity. View your website through a mobile browser and you will discover that it is slow to load, the ad experience is awful and the rendering of the content is almost unreadable. There is much to do to build user engagement, but you should add to your list of tasks mobile apps and optimisation of what you do for mobile browsers.
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In earlier discussions on this blog we have summarised the two big challenges facing business media in the online world as being user engagement and the development of an effective advertising model. I recently had the pleasure of being introduced to Cognitive Match which goes some way to addressing both these issues.
Imagine that the publisher has a set of content parcels, each of which may be of interest to different parts of the community. Let’s create a real example by pretending that we are the owners of a food and wine web site for for the catering trade. Let’s imagine that we have written a series of wine reviews. To keep it simple let’s assume we have written just four. One is a review of fine champagne that sells at £50 a bottle. The second is a good quality Merlot that sells for £25 a bottle. The third is a dessert wine, a muscat perhaps and the fourth is a blended £5 a bottle Sauvignon. Let us further imagine that we have cleverly sold relevant advertising against each of these wine types.
We are so excited by these wine reviews and our potential revenue (which has all been sold on a CTR basis) that we devote a third of the site page area above the fold to it on every page of our site. All we have to do is to decide which wine review to show at any given time to which user. Now this where Cognitive Match gets clever. Using some mathematics which I am not going to try to explain, the Cognitive Match engine collects annonymous informaion about each user and shows, on the fly, the content most likely to be of interest to that user. A user looking at dessert ingredients content might be shown the Muscat, whilst someone who had looked at a job advertisement for sommelier in a Michelin star restaurant might be shown the Champagne. As with all search solutions this is about probability mathematics. If the probability that the content is relevant and personal to the individual user is increased the value of that engagement with the user is enhanced.
For retailers, Cognitive Match claim that the basket attrition rate will fall dramatically. For business media companies, the ability to match content to user interests increases the chances of an ad click and is likely to encourage the user to spend some more time on the site. It provides a key to unlocking profitable CPA deals too. We have all done CPA deals, but how many have exceeded our expectations? Matching the right offer to the right user is clearly a useful approach.
Matching content to users is a famously hard trick to pull off. Ask my team who built foundography (a vertical search engine) or anyone who has experimented with vertical semantic or intelligent search. The Cognitive Match team appear to be close to a model which is easy to deploy for their clients. It has an impressive academic team developing the application and an interesting pipeline of blue chip prosepective clients. I am promised a live demo in the near future. I’ll keep you posted and let you know if it does what it says on the tin.
The controversy around the privacy issues that arise from behavioural advertising targetting keeps rearing its head. According to a report in the Guardian, many Internet companies are considering a boycott of the solution being offered by Phorm, including Google. Some might say that Google has a vested interest in the failure of Phorm as it butts straight into their own revenue model and approach to improving advertising effectiveness.
Let’s think for a moment about what this might mean for business media. First, can we agree that there is something wrong with the existing online advertising model? Put to one side how successful or otherwise we are in selling our inventory, a quick look at your results from Google Adsense will tell you all you need to know. Back in the late nineties, the dot com bubble burst, not least because the extravagent valuations of Internet start ups could not be sustained by the slow rate of growth in revenues – much of it advertising revenues. Click through rates were horribly low. Google changed all that. The ability to deliver ads which were relevant to the content of the page suddenly created a whole new business.
For a while we deluded ourselves that all was solved. But things are beginning to look like 1999 all over again. Three years ago, oneof the websites I ran was achieving an ecpm from Google of around $10. That same site today is struggling to achieve $2. I have no way of knowing whether this is typical, but we also observe that average ctr for all kinds of online display advertising is falling. When we were developing our vertical search engine, we learned from the technology market advertisers what the average CTR was, across all their online campaigns. In the interests of commercial sensitivity I can’t tell you the numbers, but let’s just say they are not large.
The implications of this are serious, and we have touched on them before. To achieve advertising breakthrough clients are resorting to buying networks. If the CTR is low, then you need to buy a lot of traffic. As a result the rates are low. It is an empirical fact that none of us can make a living from the rates achieved from backfill and ad networks.
So what to do about it? Behavioural targeting is certainly part of the answer and I suspect the privacy issues are less sginificant in b2b than they are in b2c. The key to the success of this will be the ability to make the advertising experience relevant to the user and that requires a taxonomy which allows the ad server to understand the relevance of the document. Key words won’t do it. The approach has to be smarter than that. The next generation of advertising will be closer to the holy grail of semantic search than the last. It will require an understanding of the meaning of the content, the ability to understand related concepts and facets.
Understanding the meaning of documents is at the heart of what the enterprise search companies try to do – most notably Fast and Autonomy. But there are real issues for these technologies in the kind of applications we are talking about. In the enterprise search world, most documents are fixed, with only documents at the edges changing. In web sites, most of the current accessed pages change all the time. What is more, each business vertical requires a unique taxonomy otherwise users experience too many false positive results.
So let’s imagine we can solve these issues. If we could understand the meaning of a document, and the possible related concepts and then uses this data to call the ads, is it possible that our customers will see a meaningful improvement in their CTR. Could we meld with that the click stream information from the session and parse both data sets through the ad server? Wouldn’t that be cool?
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