Categories
Big Content

Why your content is never up to date

Audiences need to feel confident that content they are viewing is active — current, accurate and relevant to the moment — and not dead.  They expect to view the newest information. A robust process for keeping content up-to-date has never been more important, but existing approaches fall short of that ideal.  In part one of this two part series, I will examine why common approaches for updating content can create problems.  In part two, “Making content updates an intelligent process,”  I will suggest alternatives.  First, let’s look at why the current situation is a problem.

Audiences can punish brands on social media when content’s dated and inaccurate.  Even content with minor blimishes, such as copy that simply looks outdated, can influence the perceived credibility of the content.  People don’t want to think they are getting something that’s old and stale, something that makes them feel they aren’t a priority.  Numerous studies have shown that audiences evaluate information for being up-to-date ahead of any other factor.   Current content is also essential for SEO.  SEO experts believe Google gives priority to most recent content, and content that appears more recent will probably have higher click through rates (CTRs).

Brands still face major challenges fighting the problem of dead content, even though everyone agrees on the value of keeping content up-to-date.  Why is this?  The old model of “publish and forget” is no longer acceptable.  Previously, brands might publish something, then mentally throw it away after it was no longer desirable or needed, without actually taking steps to retire the content.   Now, content will often have at least a notional expiry date associated with it.  Deadlines sound serious, as long as people believe in them.  But many times the content updating process is built on wishful thinking.

Common approaches to updating

The current approach to preventing dead content is what I will call “publish and be vigilant.”  This approach involves several tactics that rest on two core values: discipline, and accountability.  The vigilant approach depends on the heroism and foibles of people.  It can work well in some situations, especially when there is a small group of content creators who regularly revise content.  But a process based on vigilance is not effective or sustainable for large scale content management.  To understand some the elements of the vigilant approach, we will look at the content governance advice of the U.S. Government (as of this writing in early 2014).  I’m using this example not because it is notably good or bad, but because it is representative, and provides a rare glimpse into an internal organizational policy.

screenshot of content updating advice
Advice from the U.S. Government’s How To website (screenshot)

The above screenshot shows the basic process.  The key recommendation is to set up a review process: content owners follow a list of criteria to check that the content is readable and functional, and conduct reviews on a quarterly basis, with all content reviewed once a year.  This advice is consistent with recommendations commonly offered by content strategists, and is sound as far as it goes.  These things do need to happen, even if they may need to be done differently than the basic guidance would suggest.  But the larger problem is to assume doing these things alone will be sufficient to keep your content up-to-date.    The real world of content is far too messy to be managed by simple rules.

Hope #1: Content ownership

All content needs an owner — that’s the standard advice.  Here’s what noted content consultant Garry McGovern says: “Anything that does get published must have an identifiable owner. That owner must commit to regularly (every six months at least) checking their published content. It is absolutely no excuse for them to say they don’t have time. Don’t let them publish if they don’t have time to review and remove.”  But McGovern also notes “It’s very hard to review and remove. Not alone does it take time, it also takes skill and authority.”

While having an owner is essential, it’s not a panacea.  McGovern highlights the skill and time issues associated with ownership.  The problems get even bigger when looked at across the entire organization.  The reality is that content ownership is almost never distributed on the basis of resources available to support the content.  People are content owners because they want political ownership, or are the subject matter expert, or else they were the unlucky inheritor of content no one else wants to own.  Some people are owners of a few items that aren’t burdensome but are largely irrelevant to their main job functions, and hence a low priority.  Other people “own” piles of content they can’t hope to manually review on a regular basis.  Simply devolving responsibility for managing the dead content problem is not a viable solution.

Hope #2: Content reviews

Another tactic that often fails in practice is setting up a content review schedule.  The content owner, who has moral responsibility for keeping his content up-to-date, even if he has no staff hours budgeted to do so, is expected to review all his content on some arbitrary schedule: quarterly, semiannually or annually.  During this review period, all other of their work obligations will presumably pause.  Of course, few modern organizations have fallow periods available for spring cleaning.  But even if an organization did prioritize content review, doing it on an arbitrary timeframe makes no sense.  Such arbitrary schedules are not based on the underlying characteristics of the content, and do not reflect any solid business requirements.

Content varies in its shelf life.  Some content has a short shelf life: it needs to get updated more frequently than once a quarter, and probably does get updated, because it is front of mind.  Other content has a long shelf life.  It may need updating at any time, but when that will be is unpredictable.  If change is infrequent, then reviews will either result in wasted time checking ok content, or allowing a long time to lapse before something that has become outdated is revised.

Content management systems promise to manage the problem by including an expiration date on the content that sends a alert to the content owner.  While tying an expiration date to an item of content does have the advantage of distributing when different content is reviewed, it doesn’t change the the fundamental problem of date-based reviews: they are predicated on an arbitrary timeframe, a guess of when to look at something again.  In the case of a CMS expiration, there may even be a tendency to overestimate how long a piece of content will stay current, since we all like to believe in the lasting value of our efforts.

Scheduled reviews aren’t efficient or effective.  There needs to be better methods tied to actual business requirements.  Use scheduled reviews only as a fall back until you’ve implemented more robust solutions.

Hope #3: Kill unused content

A third tactic, borrowed from the realm of content auditing, is to get rid of content once it’s not being used.  This is essentially a Darwinian approach: if content isn’t being viewed, it isn’t of value to audiences or the organization, so it doesn’t deserve a home any longer.  And, unsurprisingly, much content that isn’t viewed is in fact out of date.  So utilization can be a proxy for out-of-datedness.

Paul Boag suggests this approach as being both labor efficient and skirts some of political squabbles  surrounding content retirement: “An alternative to time based review points would be traffic based. This is designed to remove content that is not really used by users rather than out-of-date content. This review point would be triggered if the traffic to a page falls below a certain threshold over a given period. This would indicate that the page is of little interest and is simply making it more difficult for the majority of people to find what they are after.”

Boag recognizes the human resource bottleneck of manual reviews, and his proposal is elegant.  But killing unused content is both reactive and unstrategic, and could result in some bad outcomes.  The goal should be to keep content up-to-date, not simply to get rid of old or underused content.  Those two goals are not equivalent.

Unfortunately, web traffic is an imprecise measure of the topical value of content.  It merely records what content has been viewed, not the actual interest of audiences in the topic itself.  One can imagine several scenarios where content that should be of interest to audiences and is strategically important, is not getting expected traffic:

  1. Content on important topics may be poorly written; such content should be improved, not eliminated.
  2. The lead subject matter expert for a hot, fast moving topic may have left the organization and could not be replaced right away: the content got old and stale, and traffic fell.  Again, eliminating such content will only weaken public perception of the organization’s expertise about the topic.
  3. There was a SEO problem for the content due to JavaScript technicalities on those pages.  The webpages need fixing here, not the content.

Perhaps more unsettlingly, web traffic analysis may not catch out-of-date content when traffic is high.  Content may be out of date and contain errors, but still gets lots of traffic due to its keywords or placement.  Instead of flagging the problem, the analytics team is blissfully unaware that they have a large scale issue until customer service complaints start coming in.

Analytics should be part of the tool set, but remember that they are looking backward, and can miss some blind spots.  Analytics don’t answer what content the organization should be emphasizing in the future from a business perspective, it only addresses what content audiences have found popular in the past.

Why the status quo needs disruption

The approaches I’ve critiqued do have merits: all are conceptually simple, all are necessary, and in many cases they are the only options organizations currently have to address content that’s gone out-of-date.  Organizations are not wrong for using these approaches.  But relying on these approaches alone will never solve the problem that content goes out-of-date, and organizations only discover this fact after it has happened, sometimes a long time after.  These approaches are about how to resuscitate content that has died, about applying CPR to content that’s stopped breathing.

Every year organizations publish more and more new content, and every year they have more and more legacy content they need to look at to make sure its not out-of-date and in conflict with all the new stuff.  Every year, customer toleration of old content lessens, as people expect faster updates, and get more frustrated encountering legacy content that hasn’t been updated.  A process based on discipline and threats can’t cope with these trends.

To review some of the problems with the status quo:

  • content owners are often not aware their content is out-of-date for long periods
  • other members of the organization may not know of the problem either
  • web analytics won’t necessarily flag the problem

What’s been missing in the content strategy toolkit are ways to anticipate when content will go out-of-date, and make revisions to the content before the content becomes overtaken by new events.  In the second part of this article, I will explore ideas for improving an organization’s anticipatory capability to make content changes when they need to happen.

— Michael Andrews

 

Categories
Content Experience Content Integration

Content sources across the customer journey

Customers are always on the run, checking information, making evaluations, and tracking how well and quickly they are getting things done. This momentum — being always on and always moving — has profound implications for content strategy. The best way to gain a holistic view of what’s involved is to look at the full customer journey, and the various services needed to support that journey, whomever provides them.  At different stages, the user has different tasks, and needs content to support these tasks.  When brands examine the journey from end to end,  they often discover that they do not have some of the content needed to support many of the user’s tasks.

Content comes from many different kinds of sources.  Brands are a major creator of content, but so are individuals, communities of people, as well as governments and non-government organizations.  Content can take many forms as well: it can be articles and videos, but also items of information commonly described as data.  One shouldn’t make a artificial distinction between authored content and factual data when these resources need to be visible and are meaningful to users.

To see how to join-up different sources of content to support user journeys, let’s consider a scenario.  Neil is a 41 year American software developer, recently divorced and living by himself in Research Triangle, North Carolina.  He recently had his blood pressure checked, which was found to be a bit high.  He is told he should consider modifying his diet to reduce his blood pressure.   Neil is someone into “lifehacking” so he decides to dig deeper into the topic to find out what’s best for him.

Step one: Goal setting with personal content

Neil reviews his device’s app store to see what’s useful.  He finds a healthy living app that can track his diet and makes recommendations on how to improve it.  He enters what he eats and drinks for a week and graphs the results.  The app flags his coffee and processed food consumption as areas he should watch — processed food contains a lot of sodium.  He likes the taste and convenience of processed food, but decides he should try to cook more for himself.  He fiddles with some parameters on his healthly living app and gets some recommendations on kinds of foods he should consider eating.  He likes some recommendations, hates others, and believes others are worthy but difficult.  He sets some goals for eating, and will track these in his app.  At this  goal setting stage, the content is personal to Neil: his recommendations based on parameters he selected, his goals, and his behavioral data.

Step two: Planning using community-contributed content

Neil doesn’t particularly enjoy cooking, because in the past he’s found it time consuming, and his results have been disappointing.  He searches for a source of recipes that are easy to make and don’t sound awful.  He finds a recipe community that specializes in easy to make dishes.  Community members submit recipes they like and can vote and comment on ones they’ve tried based on taste, ease of making, ease of storing ingredients, and ease of saving leftovers.  He likes the reputational dimensions of the community: members get recognition for their submissions and the votes cast and recieved.  Neil can link his healthy living app to this community, so that he can compare his profile goals with those of other community contributors.  He scans pictures of dishes that match his criteria and notices that some are favorites of people who follow protein rich diets and avoid carbohydrates.  On closer inspection of the ingredients, he sees these dishes avoid starches.  Neil likes his carbs, so filters out these options.  He looks for people more like him who are most concerned with the sodium dimension, and looks over their favorities.  He finds a couple of cassorole dishes that sound easy to make, and easy to save as leftovers.   For planning his meals, Neil has relied on community content: what’s popluar, and with whom it is popular.  He saves these recipes to his “to try” list in his healthy living app, so he can track when he has them.

Step three: Evaluation using public content and open data

Neil has two dishes he wants to make: a tuna casserole, and a Mexican casserole.  Both use ingridents easily obtained with a long shelf life: things like cans of tuna, cans of onion soup, cans of beans, bags of chips, jars of salsa, and processed cheese.  He hates having to worry about food spoiling in the fridge.  He notices a new detail about the ingredients: he must use low sodium varieties of these ingredients if the dish will qualify as low sodium.  Neils starting to feel overwhelmed: his supermarkets seems to have endless varieties of similar items, and he finds it a pain to read the tiny nuitrial lables on products.  He’s been warned that advertised claims of “reduced salt” can be misleading.  He wants to be able to search across different brands to find which ones have the lowest sodium.  Fortunately he finds a new website that is aggregating nutritional information of food products from many brands.  Ideally the USDA would aggregate all the information from nutritional labels of food products, and make it available in an open format with a public API.  But the USDA does not offer this information itself, so instead Neil uses a website that relies of voluntary submission by vendors, or the scrapping info from their websites.  The information is useful, though incomplete.  Neil is able to search for food products such as salsa, and find candidate brands that are low sodium.  He exports this list of brands to his shopping app on his phone.  He has relied on aggregated public information to evaluate which brands are most suitable.  Third party aggregators are credible providers of such information.

Step four: Purchase selection using company content

Neil now feels ready to visit his cavernous supermarket.  He chooses to shop at a supermarket that is employing new technology that allows shoppers to use their mobile phones to navigate through the store and check inventory.  The supermarket has it’s own app that can link to Neil’s shopping list.  It tells Neil which brands it has in stock, what the prices are, and what isle they are located on.  The store only carries one brand of low sodium salsa, but has three brands of low sodium beans, and he can compare the prices on his phone before hunting for them on the shelf.  Also the app shows photos of the items, so Neil knows what to look for.  So many products look similar, so it’s important to be sure you are picking up the one you really want, and not something that’s similar but different in a critical aspect (e.g., getting the extra spicy low sodium beans, instead of unflavored low sodium ones).  For the purchase phase, Neil has relied on company provided content.  He is motivated by ease of purchase, and individual retailers are in a primary position to offer content supporting such convenience.

neils content journey

Insights and lessons

Neil’s journey illustrates three major issues audiences and brands face when integrating content from different sources:

1.  technical constraints and functional gaps that create friction

2.  fuzzy ownership of responsibilities across the customer journey

3.  balancing the financial motivations of the brand with the incentives motivating the customer

Gaps, constraints, and friction

Everything in Neil’s scenario is technically feasible, even if parts seem magical compared with today’s reality.   For the user, a journey like this is often fragemented across many separate sites and apps, which may not share content with each other.  Users often rely on different kinds of content, from different sources, at different stages.

When Neil moves between apps or sites focused on different primary tasks there is obvious potential for friction.  As a computer professional, Neil is able to take content from one task domain and use it in another, using tools like IFTTT.  Other users, however, may have to manually re-enter content from one task domain to another, unless content linking and import is built-in.  Such built-in functionlity requires common exchange formats and APIs.   There are microformats for recipes, government-mandated nutritional information follows a standardized format, and retailers track products using standardized nomenclature such as UPCs and SKUs.  But content addressing higher level tasks such as dietary goals or ease of preparation do not follow open standards, meaning the exchange of such information between applications is more difficult.  In these cases, forging partnerships to create own’s own format to exchange content may be the best option.  Obviously, any connections between task domains (sharing log-in credentials, and sharing data) will help customers carry forward their journey, and help to drive adoption of your solution.

Whose problem is it?

The scenario highlights the fuzzy boundaries surrounding who offers the right solution for Neil.  In many cases, such as outlined in this scenario, no one party will orginate all the content needed to support a complex user task journey.  From a user perspective, it may seem desirable to have a “one stop” solution where he or she can perform all the tasks.  Such an approach would eliminate hopping between applications and websites, and potentially enable users to see connections between different tasks and their associated data and content.  But it isn’t obvious that one solution can obtain all the content needed to support the user.  Typically, integrated solutions do not offer the best content available.   Rather they offer content that is easy to obtain, or content that selectively promotes the goals of the brand behind the solution.  If you want to buy a camera, reading customer reviews on the Walmart website isn’t your best source of customer evaluations — buyers can get more complete and higher quality review information from a third-party photography website.  If a customer wants recipes, your supermarket may offer some that use products that the supermarket is promoting, but these recipes are not necessarily the best ones, and will certainly represent only a small sample of what’s available.

Brands need to think about what kinds of content their customers seek and consider during their journeys, and figure out how they can be a part of the conversation.  The goal should be to make your content available at whatever stage it is needed.  Look at opportunities to incorporate outside content where appropriate.  Think about where is the main source of content relating to this user task.  Can the brand get the content itsself, or does it make sense for it to offer its content to that source?

Being helpful with your content

Jeff Bezos reportedly said why brands earn or lose customer love: “Defeating tiny guys is not cool” while “Defeating bigger, unsympathetic guys is cool.”  To earn customer love, brands also need to consider how they treat other parties’ content.  Do they seem to be freely sharing a great resource, or are they seeming to throttle choice and push their own agenda with what they present? Whether a brand chooses to incorporate other parties’ content into their solution, or offer their content to others (via an API), it needs to come across as generous, and unbiased, to earn credibility and trust.

Audiences invest time and effort evaluating content, saving content, and creating their own content, motivated by the value they derive from different content sources.  It is important to respect that effort.  Content linking and sharing is a classic example of a network effect, where the content becomes more valuable the more different task scenarios it can be used.   Brands need to consider the network effect dynamics when choosing what content to offer, and where to offer it.

There can be a natural tendancy for brands to want to only invest in content that shows immediate payoffs.  Consider the supermarket chain.  It did not choose to submit the nutritional information of its house brands to the third party website.  As a result, its house brands were not part of Neil’s consideration set.  When it created its in-store app, some members of the supermarket exective team didn’t want to include photos of the products.  They reasoned that it was an unnecessary expense.  The price and inventory information were already available in their inventory system, but that system didn’t store photographic content.  But by making the investment, they improved the customer experience, and greatly increased adoption of their app.

The supermarket executives also debated how to understand more fully what their customers wanted to buy, so they could better forecast demand.  Their prior attempt to tie their loyalty card with their own recipe app, offering coupons, didn’t result in much adoption.  They were interested in figuring out how to get people like Neil to give them his dietary goal setting information.  While this is valuable content for the supermarket chain, helping them better target ads and offers, it isn’t clear what Neil would get in return for providing this information.  More coupons?  Neil gets a clear benefit using his goals to plan his meals, but the value of providing his goals to the supermarket after he’s already decided what he wants to buy isn’t clear.  The supermarket needs to think how Neil can use this information in the context of his relationship with the supermarket, so that Neil is in charge of what he does with the information, and derives value using it.  Perhaps he could be rewarded for participating in a program to test new products that are aligned with his dietary goals.

Final thoughts

Brands, especially retail brands and service providers such as banks, hotels and airlines, are thinking more about omnichannel communication with their customers.  Customers can need help at any point, can seek content through many channels and from many sources (including those of rivals) and expect answers instantly.  A strategy that shares content across tasks is the best approach to meeting customers needs as they arise.  If customers are doing a task that involves other sources of content in addition to your own, your brand needs to figure out how customers can integrate both kinds of content to provide the level of support they increasingly expect.  Having your content play well with others is not just a nice thing to do, but a business imperative.

— Michael Andrews