Showing posts with label online marketing. Show all posts
Showing posts with label online marketing. Show all posts

Friday, March 30, 2012

Survey of Surveys: Budgets and Process are Main Barriers to Marketing Technology Success

I recently gave a Web presentation comprised almost entirely of slides from different surveys. This was a bit of an experiment and, sad to say, it didn’t seem terribly successful. I did weave the slides into a nice little story line – marketers know they need better technology, poor data is the root of their problem, and we know how to solve this – but even that wasn’t enough. Pity.

Still, preparing the slides gave me a chance to scan the surveys in my archives, which was entertaining in its own little way. Many surveys ask similar questions, which gave me some choices during my preparation. But I didn’t look carefully at how they compare.

Today I’ll do that. I’ve chosen one of the most popular questions: what are the barriers to marketing technology adoption? I have versions of this from seven different surveys within the past year.

Of course, each survey uses different terms. To make the comparison, I collapsed the various answers into a few reasonably-distinct categories, committing a certain amount of shoe-horning along the way. I then recorded where each answer ranked in each survey, compiled the results, and did a crude ranking with a combination of mathematical wizardly and body english.  (Multiple answers for the same survey indicate I placed several questions into the same category.)

Results are below.  I've shaded the first ranked answers in orange and the second and third ranked answers in yellow.


My first observation was the sheer inconsistency of the answers. Budget issues emerged as a clear number one, but they reached that rank on just four of the seven surveys and ranked quite low on the other two that included them. The second-ranked item (marketing process) was never listed first; it ended where it did because it had the most twos and threes. No other item was ranked first more than once or in the top three more than twice.

Things made a bit more sense when I looked at the survey audiences. Winterberry and Forrester were specifically about online marketing, Gleanster and Marketing Sherpa were B2B surveys, and IBM and the two CMO Council studies were of general marketers. Since most B2B marketing is also online, it makes sense to look at the first four as one group and the other three as another.

Now we see some interesting consistencies:

• Budget isn’t much of an issue for the online and B2B marketers, but dominant for the mixed marketers.

• Marketing process and marketing staff skills are major concerns for online and B2B but rarely mentioned by the mixed marketers.

• Senior management support, and to a lesser extent IT support and technology capabilities, are significant barriers for mixed marketers but don’t slow down the online and B2B groups.

• Metrics, organizational silos, and the economy are cited occasionally by both groups but don’t seem to be major issues for either.

So there’s a fairly coherent picture after all.

• Online and B2B marketers are struggling to keep up with a rapidly changing marketplace, meaning their biggest problems are people and process. The importance of their work is obvious enough that budgets and senior management support are generally available. They have the technical savvy and independence to avoid issues with IT support and organizational silos.

• Mixed marketers, working in traditional channels, still struggle with budgets, metrics, and senior management. They have mature marketing organizations, so process and skills are in place, at least for traditional programs. They do struggle more with IT, technology, and organizational silos, because they lack their own technical skills and have limited clout in the organization.

• Everybody says they care about metrics but it's rarely a top priority.


Or at least that’s my take. I’ve displayed the actual surveys below – if you reach other conclusions or spot any other patterns, let me know.























Tuesday, November 02, 2010

Oracle Buys ATG: Bad News for Marketing Automation?

So…Oracle bought ATG today for $6.00 per share or, as the press release puts it with charming nonchalance, “approximately $1.0 billion”. I can’t exactly say I told you so, since this particular pairing never crossed my mind. But if you look back at my “doughnuts and pizza slices” post on software acquisitions, it does make perfect sense. ATG is a specialist in e-commerce (the ERM doughnut in the online operations pizza slice), an area where Oracle’s traditional ERM products are weak. As my model suggests it should, ATG also encompasses online CRM and online marketing, where Oracle’s Siebel line is also a little thin.

Since Oracle is already strong in offline ERM and offline analytics, ATG leaves Oracle just one slice short of a pie. In other words, Oracle needs a Web analytics product. With Omniture, CoreMetrics and Unica already gone, only Webtrends is an option…unless Oracle gobbles up Adobe. ‘nuff said.

So much for the obvious. What I really care about is the implications for marketing systems. I’d say the ATG purchase lessens the odds of Oracle buying a marketing automation vendor. The logic is this: buying ATG suggests that Oracle, like IBM (which put Unica in its WebSphere organization), is focusing on online marketing rather than marketing automation in general. Since ATG itself provides substantial online marketing functionality, there’s a smaller gap for Oracle to fill with a separate marketing automation purchase. Nor have I forgotten that Oracle already bought marketing automation vendor Market2Lead, plugging a different set of holes.

If anything, Oracle (and IBM) need to strengthen their position in online advertising. I'd look for them to buy tools to manage banner ads, search ads, and search engine optimization. This in turn could point towards investments in content management and digital asset management systems. That also leads further away from standard marketing automation.

The day-to-day impact of all this on marketers is slight. They still need marketing automation tools to do their jobs. If anything, they’re better served by having some marketing automation vendors remain independent, since this keeps prices down and encourages competitive innovation. A less-helpful result may be to further isolate digital marketing from other channels, when what we need is to integrate them more closely. Perhaps digital marketing systems will grow to the point that they take over offline marketing as well. I hadn't expected such a role reversal, but it’s certainly possible. Just ask Oedipus. Not that that turned out so well.

Monday, February 08, 2010

ExactTarget Survey: Lack of Skills Slows Growth of Digital Marketing

Summary: a new survey from ExactTarget shows that digital marketing is growing faster than database marketing or mass media, and that agencies have a harder time adding digital capabilities than their clients. It also suggests that marketers are moving into digital channels even when they can’t measure their value very well. No surprises in any of this, but good to see confirmation of previous research.

I really and truly was going to drop the topic of moving from database to digital marketing, but then I saw a survey last week from email vendor ExactTarget which reinforced several of my key points. (You can buy the complete survey from Econsultancy. A detailed slide show is available here for free, at least as I write this.) Key findings include:

- digital marketing budgets are growing faster than marketing in general (66% plan to increase their digital budget in 2010, vs 46% planning to increase their total marketing budget). Database marketing channels (email, direct mail and telephone) are growing at lower rates (54%, 27% and 26% plan to increase, respectively), while mass media (television, newspapers/magazines and radio) are lagging the most (20%, 17% and 15%).

Note that these are just the percentage of companies planning a budget increase; the actual average increase in digital budget was 17%. The average proportion of budget spent on digital was 24%, which is higher than other figures I’ve seen, suggesting the respondents were more digitally oriented than the industry as a whole.

- lack of skills is the key impediment to digital growth: lack of staff, company culture and lack of digital understanding were three of top four problems (after lack of budget, which was number 1). Inability to measure ROI and lack of business case ranked only ahead of “other”.

What is preventing your company from investing more money in digital marketing?

40% restricted budget for all types of marketing
35% lack of staff to make most of any digital investment
32% company culture
25% lack of understanding about digital
20% reliance on traditional marketing
16% inability to measure return on investment
9% lack of business case / case studies around digital
7% other

- agencies are more constrained than marketers by lack of skills. “Lack of understanding about digital” was cited by 45% of agency respondents, compared with about 13% of client-side marketers.* My interpretation is that clients can always go and hire a digital agency if they need to add the expertise, while the agencies themselves find it much harder to expand their offerings.


In fact, although 35% of both groups apparently cited “lack of staff” as a problem, they may mean different things. Agencies are probably referring to lack of staff with digital marketing skills. Client-side marketers probably mean lack of staff to oversee digital programs executed by an outside agency.

- The fastest-growing digital channels (social media and mobile) are the least measurable. In fact, there’s an almost inverted relationship between growth rates and measurability. This probably reflects that fact the fastest-growing channels are the newest, with least-established measurement methods, rather than a perverse hostility to measurability.


In this context, it’s also worth noting that agencies felt much more hobbled by lack of ROI and business cases than client-side marketers, and that a very-hard-to-believe 65% said their company measures marketing effectiveness based on ROI. These further reinforce the view that marketing measurement isn’t a top priority when moving into new digital channels.


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* The published materials show total and agency figures. I've estimated values for client-side marketers based on the numbers of respondents reported for the two groups: 648 client-side, 385 agency/supplier-side. This won’t be precisely correct, since everybody didn’t answer every question. Hence that -3% response to "lack of business case" for client-side.

Thursday, February 04, 2010

Coremetrics Survey: Online Marketers Eager to Consolidate Data Across Channels

Summary: a survey sponsored by Coremetrics shows that online marketers are eager to merge data from multiple sources. This is the long-term solution to closing the gap between database and digital marketers.

I was debating yet another post on database vs digital marketing when I saw a Direct Newsline headline that said “Online Marketers Talk The Talk, But Don't Walk The Walk”. The accompanying article suggested the online marketers don’t give personalization a high priority, which supports the theme of my last few posts. Sweet.

But reality proves a bit more complex.

The article referred to a survey of online marketers sponsored by Web analytics vendor Coremetrics. As the headline suggests, about three-quarters of the marketers listed personalized email, display advertising and onsite pages as a high priority, but just under half are actually using them. So, yes, there’s more talking than walking.


But a closer look* shows that the “future priority” numbers are also related to current deployment: items like basic email marketing have low future priority scores because they’re already in widespread use. So the apparent discrepancy in the personalization rankings is less because online marketers don’t really care about it, than because they’ve had other, more fundamental things to do first.

If I were feeling particularly tendentious, I could argue other data in survey supports my claim that digital marketers are relatively disinterested in personalization. For example, “manual onsite cross-selling promotions and product recommendations” has a higher deployment rate (63%) than “manual onsite personalized content and recommendations” (49%). But a simpler explanation is that personalized recommendations are just technically harder. Indeed, the two “technology-driven” options, recommendations based on individual behavior and on “wisdom of the clouds”, have the lowest of all current deployment rates.

That said, it’s still interesting that the survey shows personalized email (52% deployed) as not significantly more common than personalized advertising (50%) or personalized site content (49%). This seems to contradict my position: if email is run by personalization-oriented database marketers, while Web advertising and (perhaps) site content are run by behavioral-targeting-oriented digital marketers, then email personalization should be more common.

But the actual question asks about email, display advertising and onsite content which are personalized "based on individual online behavior”. This adds the additional constraint of whether marketers have been able to tie (mostly anonymous) online behavior to other channels. That constraint applies across all the delivery channels, and is likely why the deployment rates are so similar. Surely the vast majority marketers are personalizing their email using information in their databases, particularly if you extend the definition of "personalization" to include segmentation that determines which messages are sent to whom.

A separate question asked marketers to rate the importance of automating different marketing tools.


What's interesting about those answers is that five of the top six didn't involve individual-level data: three are about campaign, channel and vendor performance, and the other two are about search keywords in aggregate. The only exception, "personalized content or product recommendations based on online behavior" is based on reusing data within a single channel, which means that individuals need not be personally identified. (The survey makes clear that its definition of "personalization" includes treatments based on anonymous behavior tracking.) Actually, the two applications that do rely on consolidating personal data across channels are the lowest ranked of all the options presented. I'd say this supports my fundamental contention that digital marketers are mostly concerned about non-personal, channel-specific applications.

On the other hand, respondents did rate “obtaining an integrated view of customers across online marketing touch points” as their highest challenge, or at least as a tie with measuring marketing impact. Since it was only listed by 45% of the respondents, I could speculate that those might have been the database (email) marketers in the group, while the digital (Web) marketers could have all ignored it.

But I’m not inclined to bother: I have no problem believing that digital marketers are perfectly willing, even eager, to consolidate data across channels when it’s possible. My main point is consolidation is generally not possible because most digital touchpoints do not collect identifiable, addressable information. (See yesterdays’ post for my definitions of those terms.) And, because consolidated data is often not available, the digital marketers have learned to work without it.


By contrast, Coremetrics is focused on a future (or, perhaps, imaginary) world where data-gathering techniques have improved. Coremetrics is arguing, and I fully agree, that consolidating data across channels does add value and that marketers should be willing to invest in making it happen.

In fact, if I hadn’t seen the survey this morning, my intent was to write about the convergence of database and digital marketing, precisely because digital marketers are increasingly aware of the value and possibilities of working from a consolidated database. So even though I’ve been arguing that database and digital marketing today are quite different, I do think they’ll become more similar over time as each group learns from the other. The marketers themselves are already leading in that direction, and vendors who want to survive will surely follow.

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* very close indeed. Sorry for the small print in the charts. It's the best I could do. The actual data is available in the surveys.

Tuesday, February 02, 2010

Can Database Marketers Learn Digital Tricks?

Summary: Database marketing and digital marketing are more different than it seems. It's hard for experts in one to adjust to the other.

Yesterday’s post touched briefly on what I see as a fundamental transition between database marketing and digital marketing, and in particular on the changes that marketers and their supporting vendors must make to navigate the change successfully. This is an important topic, so I thought I’d return for a closer look.

It’s self-evident that digital marketing (mostly on the Internet, but also mobile, in-game, and eventually interactive TV) is a major change from both traditional mass media and more recent database marketing (mail, email, telemarketing, CRM). What’s less obvious is that the skills and attitudes that have served database marketers well for the past twenty or more years – an entire career for many – don’t transfer to the digital world. It’s true that database and digital marketing are both technology-enabled and thus seem as if they should draw on similar talents. But the similarities are superficial while the differences are profound.

Let’s cut to the core of the matter: the first rule of database marketing is that whoever has the biggest database, wins. Database marketers strive to gather ever-more information about their customers and (to a lesser extent, because less data is available) about their prospects. Their Holy Grail is the ever-receding “360 degree view of the customer,” a phrase I’ve always disliked because (a) it treats the customer as an object and (b) no one can possibly know everything about their customers. Today, at least to my mind, it also conjures up a full-body scan X-ray, an image I hope enough people find so offensive that it will finally put the phrase to rest.

Sorry for the rant. My point is that database marketers’ ideal is a perfectly detailed customer database, which would allow them to target precisely the “right offer to the right customer at the right time.” This attitude leads to highly structured, finely segmented campaigns and carefully-plotted, rules-driven interaction flows which make the best possible use of whatever data is actually available.

Digital marketers have no such illusions about the completeness of the data they could ever hope to assemble. I’m not saying many of them wouldn’t like to identify each person they interact with, just that this is obviously impossible in most situations. Thus, digital marketers start from a premise that they’ll be interacting with people cloaked by varying degrees of anonymity, and look for ways to make the best use of the limited information available. In one case this might a search term they used to reach a Web site; in another it might be a history of movies they and others have rented; in yet another it might be their current physical location. Most innovations in digital marketing involve improving the value extracted from such limited data, rather than attempting to link the data to an identity that can then be enhanced with large volumes of personal information from other sources.

(Caveat: yes, there are some major efforts aimed precisely at providing digital marketers with individual identities. But these run up against both the fundamental difficulty of identifying people in most digital media. Even more important, their value is limited because immediate past data about behavior and context is usually more powerful at predicting immediate future behavior than static personal information from external sources.)

A corollary to the limited and contextual nature of most digital customer data is that marketing programs don’t have enough information to make reliable predictions about the most appropriate treatments. Thus, multi-step marketing campaigns or highly structured interaction dialogs are less useful than simply giving people a variety of choices and letting them guide the process for themselves. Again, this is a matter of degree: deciding which choices to present itself requires predictions about which items the customers will prefer. But presenting multiple choices is quite different from trying to guess in advance which one is best.

In other words, we’re talking about a loss of control over the marketing process. This is still more obvious at the start of the marketing cycle, when companies are first attracting customers into a relationship. Database marketers spend lots of effort acquiring and enhancing prospect lists so they can decide whom to approach and which offers to send them. By contrast, most digital marketing contacts are initiated by the prospects themselves in response to an advertisement or social media message. Certainly digital marketers can select their advertising audiences, but this resembles traditional media buying more than an outbound direct marketing campaign. Even (or, perhaps, especially) with social media interactions, the marketer has very little control over what is communicated to whom.

Indeed, even though database marketers do plenty of acquisition, I think it’s fair to say that they find it relatively frustrating because the available data is generally so limited. Most would probably prefer to work on customer management – cross sell, upsell and retention – where richer data is available. By contrast, digital marketers have happily embraced the notion of “inbound marketing”, which is precisely the art of attracting new people to their products. To speculate still further, the reason that business marketers are adopting marketing automation much more enthusiastically than they ever adopted traditional database marketing may be that business marketing automation is largely being used in acquisition-friendly digital media, and business marketers are more acquisition-oriented (i.e., focused on lead generation) than their consumer marketing brethren.

Control is also a major differentiator when it comes to marketing measurement. Perhaps the proudest claim of database marketers is that all their efforts are highly and precisely measurable. Reality is a bit more messy, but it’s true that database marketing does support proper champion/challenger testing for companies willing to make the investment. Digital marketing also supports such testing. But many digital efforts involve display advertising where at least some of the value comes from exposures that do not prompt immediate, measurable activity. This is another area where digital marketing more closely resembles traditional mass media advertising than anything else. In fact, digital marketers increasingly base their measurements on consumer panels and surveys, almost precisely duplicating the conventional mass media approach. Again, the fundamental point is a difference in attitude: database marketers treat precise measurement as their ideal, even though they realize it isn’t fully attainable. Digital marketing doesn’t permit that illusion, so its practitioners can more easily accept less exact approaches.

By now I’ve probably annoyed many of my friends in both the database and digital marketing industries. Let me make clear that I’m not arguing that database marketing is obsolete or somehow inferior to digital marketing. They do different things and will coexist, just as mass media survived when database marketing appeared. In fact, good marketers will learn to integrate them effectively, letting each do what it does best. Actually, I’d argue that rule- and data-driven Website personalization has more in common with classic database marketing than with most digital marketing methods. In that case, integration between the two types of marketing happens within the Web site itself.

Nor am I arguing that database and digital marketing have nothing in common. Both are, obviously, dependent on technology and both are measurable in their own ways. Both work with customer databases – in fact, as digital marketers get better at capturing and integrating customer data, they will find themselves increasingly reliant on database marketing techniques. And, of course, both ultimately perform the basic marketing tasks of understanding their customers and using that knowledge effectively.

Rather, I’m trying to show that different skills and assumptions are needed for success in the two areas, and to suggest that this makes it difficult for people and organizations to transition from one to the other. This, in my opinion, is why the direct marketing agencies, marketing service providers and marketing software vendors who dominate the database marketing industry have not transferred their leadership to the digital marketing channels. The only new medium they easily adopted was email, but that was essentially database marketing to begin with.

This doesn’t mean that database marketing vendors are inevitably doomed or trapped in a shrinking specialty. But it does mean that those firms must recognize the fundamental differences between their old industry and the new one. They cannot make the easy but false assumption that digital marketing is a natural extension of database marketing techniques. Only the marketers and vendors who aggressively embrace digital marketing in its own terms will be able to lead the new industry.

Monday, February 01, 2010

Unica and Alterian Lead Database Marketers to the Digital Promised Land

Here are some quick thoughts on two items: Unica’s acquisition of paid search bid management system MakeMeTop (now mercifully renamed Unica Search) and Alterian’s recently-released and excellent annual marketing survey.

The connection is that these both support my feeling that many members of the old-line database marketing community have failed to adapt to the new world of digital marketing. I’ve been talking about this a lot with consulting clients but don’t think I’ve written about it at length in this blog.

The gist of the argument is that traditional direct marketing agencies, marketing automation software vendors and marketing services providers have mostly remained focused on outbound campaigns. They did move from direct mail to email, but those are pretty much the same thing. The really cool digital marketing stuff, including Web site development, Web advertising and most recently social media, has been executed by a different set of digital marketing agencies, specialist software vendors, and, ironically, media buyers at traditional ad agencies.

The fundamental reason is that the main skill of database marketers is building a customer database, while the core of digital marketing is responding to the behaviors of anonymous individuals. Of course I’m oversimplifying – much digital marketing does deal with people who have identified themselves – but there’s still a fundamental shift from targeting outbound campaigns at known individuals to managing interactions with anyone willing to engage.

Both Unica and Alterian have been exceptionally forward-thinking among marketing automation vendors in preparing for this transition. Unica’s latest acquisition is particularly interesting because search bid management has almost nothing to do with reaching known individuals. (I say “almost” only because Unica seems to intend to link search click-throughs to a traditional marketing database.) It follows Unica’s acquisition last month of email deliverability expert Pivotal Veracity, which I found less impressive because email is part of the old database marketing world.

Alterian has already made big bets in social media and Web content management, which are also well beyond the scope of traditional database marketing. Its survey provides strong support for the notion that marketers are “moving from a campaign-centric direct marketing model towards multi-channel customer engagement”: in fact, 51% said they were expending a fair or significant amount of effort on exactly that. Related factoids include:

- 61% of marketers do not integrate Web analytics with other customer data.

- 66% of respondents (which included quite a few agencies and marketing services providers, in addition to marketers) plan to invest in social media marketing in 2010

- 36% of respondents plan to invest in social media monitoring in 2010 (a discrepancy that Alterian finds “worrying”, although I’ve previously seen similar data. My take is that many marketers see social media as a way to generate business directly, and look at monitoring as a secondary aim.)

- 38% said coordinating digital and direct marketing agencies was somewhat or very difficult. No surprise there, although I don't necessarily agree with Alterian's contention that this will lead to a unification between the two sets of agencies.

- 35% of marketers expect to move more than 20% of their direct marketing budget into digital channels next year.

In short, the Alterian survey shows that marketers are eagerly moving from classic direct marketing to digital, interactive and social marketing, but still lack the skills and resources to do it effectively. Industry vendors who support them will thrive. Those who don't will quickly be left behind.

Monday, October 26, 2009

Survey Suggests Marketers Are Moving from Paid to Social Media

Summary: a new survey suggests that marketers are less focused on lead generation than on final sales, growing current customers and building online communities. I’m not sure I trust the data, but it’s a pretty picture nevertheless.

I don’t know quite what to make of the 2009 Survey on Marketing, Media and Measurement released earlier this month by custom content company King Fish Media.

- On one hand, it’s a rare opportunity to see data from business, rather than consumer, marketers. (Of the 230 respondents, 52% were pure B2B and another 36% were mixed B2B and business-to-consumer.) So I'd really like to believe it.

- But on the other hand, the sample seems dangerously unrepresentative: 44% said their organization’s primary industry was “publishing/media/advertising/marketing”, which is vastly higher than the real-world proportion. Presumably this was the result of the survey method – an online survey based on email invitations to the lists of King Fish and co-sponsors HubSpot, Junta42 and Upshot Institute. In addition to the industry skew, this probably reached a group that’s much more online-oriented than marketers as a whole.

The best I can do is to treat the results very carefully: assuming that this group shares some characteristics of the broader universe, but keeping in mind that some answers might reflect its atypical composition. Here goes.

1. Marketing Measurement Practices

The group reported using three broad types of marketing success measurements:

- 91% measured new customers acquired or leads generated.
- 63% measured customer retention or sales from current customers or lapsed customers.
- 54% measured brand-marketing-style metrics such as awareness, perception or intent.

Directionally, this seems about right: more marketers focus on new business than on existing customers, and brand-style measurements are less common than business results. The figures for existing-customer measurements are higher than I would expect, but perhaps that’s because publishing marketers are more directly responsible for renewals than business marketers in general.

Another oddity was that more people report measuring new customers (77%) than leads (73%). An optimist would treat this as evidence that marketers are adopting an end-to-end vision (as they should) rather than ending their responsibility when a lead is handed over to sales. But think the more likely cause is that marketers in publishing are more likely to sell directly (i.e., without a sales force) than in other industries.

Incidentally, the survey also found that 73% of respondents had guidelines in place to measure marketing success, but just 50% said their company requires a measurement plan as part of its program approval process. Treat this as you wish: is it impressive that 73% have measurement guidelines or frightening that 27% do not? Also bear in mind that 91% were at least using measurement on acquisition programs (some, apparently, without standard guidelines). So I think we can conclude that basic measurement is widespread, although its quality and consistency are questionable.

2. Spending on Acquisition vs. Existing Customers

Media spending by purpose was distributed:

- 56% for new leads
- 33% for retention
- 10% for other

This is interesting because I don’t recall seeing other data showing this split. The actual numbers show much more spending on retention than I would have expected. As with the measurement figures, this probably reflects the business of the survey responders.

3. Media Preferences

The main thrust of the survey was how marketers view different media. Marketers were asked to rate "the most effective way to communicate with customers and prospects", with separate answers for each. Here are the results:


for prospects/leadsfor current customers
corporate Web site75%70%
social media73%72%
custom content and media70%77%
face-to-face events69%62%
white papers / e-books67%52%
Webcasts and virtual trade shows64%51%
e-mail marketing58%78%
online advertising42%13%
direct mail promotions33%34%
print advertising33%17%
broadcast advertising10%11%


If there’s a pattern here, it’s that awareness-generating media (e-mail, direct mail and online/print/broadcast advertising) rank shockingly low, especially for prospecting. Apart from using email for customer communications, the respondents gave their highest rankings to the corporate Web site, social media, and custom content.

But how, exactly, can they attract traffic for the Web site, social media message and custom content if they don’t reach out to new audiences? I can think of (at least) two answers:

- they can’t, and the answers just reflect an infatuation with online media. I’m not saying the respondents are poor marketers: chances are they really do use the low-ranked media, but don’t consider them terribly effective. (Other answers in the survey suggest the same thing, showing that budgets are moving away from the low-ranking media to the high-ranked categories.)

- they can, by using social media and custom media in the awareness- and traffic-building roles previously handled by paid advertising. Put another way, the traditional first steps of generating awareness and interest are handled by the community rather than by marketers themselves. In this world, marketing’s role becomes to nurture communities of enthusiasts and evangelists, and then to meet the needs of prospects attracted by the community. This is what I meant in my September 23 post about community-centric marketing replacing customer centricity. (Can I coin CBM as a new acronym for Community Based Marketing?)

Obviously the second possibility is more intriguing. It’s surely correct to some degree, although the Big Question is how quickly and how far marketers’ role will shift. Given my concerns about this survey, I wouldn’t treat its results as definitive answers. But they're still tasty food for thoughts.

Monday, November 12, 2007

BridgeTrack Integrates Some Online Channels

What do “Nude Pics of Pam Anderson” and “Real-Time Analytics, Reporting and Optimization Across All Media Channels” have in common?

1. Both headlines are sure to draw the interest of certain readers.
2. People who click on either are likely to be disappointed.

Truth be told, I’ve never clicked on a Pam Anderson headline, so I can only assume it would disappoint. But I found the second headline irresistible. It was attached to a press release about the 5.0 release of Sapient’s BridgeTrack marketing software.

Maybe next time I’ll try Pam instead. BridgeTrack seems pretty good at what it does, but is nowhere near what the headline suggests.

First the good news: BridgeTrack integrates email, ad serving, offer pages, and keyword bidding (via an OEM agreement with Omniture) through a single campaign interface. All channels draw on a common content store, prospect identifiers, and data warehouse to allow integrated cross-channel programs. Results from each channel are posted and available for analysis in real time.

That’s much more convenient than working with separate systems for each function, and is the real point of BridgeTrack. I haven’t taken a close look at the specific capabilities within each channel but they seem reasonably complete.

But it’s still far from “optimization across all media channels”.

Let’s start with “all media channels”. Ever hear of a little thing called “television”? Most people would include it in a list of all media channels. But the best that BridgeTrack can offer for TV or any other off-line channel is a media buying module that manages the purchasing workflow and stores basic planning information. Even in the digital world, BridgeTrack does little to address organic search optimization, Web analytics, mobile phones, or the exploding realm of social networks. In general, I prefer to evaluate software based on what it does rather than what it doesn’t do. But if BridgeTrack is going to promise me all channels, I think it’s legitimate to complain when they don’t deliver.

What about “optimization”? Same story, I’m afraid. BridgeTrack does automatically optimize ad delivery by comparing results for different advertisements (on user-defined measures such as conversion rates) and automatically selecting the most successful. The keyword bidding system is also automated, but that’s really Omniture.

Otherwise, all optimization is manual. For example, the press release says the BridgeTrack campaign manager “reallocates marketing dollars across channels that generate the most incremental return-on-spend.” But all it really does is present reports. Users have to interpret them and make appropriate changes in marketing programs. Similarly, email and offer page optimization means watching the results of user-defined rules and adjusting the rules manually. Rather than claiming that BridgeTrack “does” optimization, it might be accurate to say it “enables” it through integrated real time reports and unified campaign management. Given how hard it is to assemble information and coordinate campaigns without a tool like BridgeTrack, that’s actually quite enough.

Even within its chosen channels, BridgeTrack lacks automated predictive modeling and advanced analytics in general. (The ad server does offer some cool heat maps of placement performance.) This has direct consequences, since it means the system must rely heavily on user-defined rules to select appropriate customer treatments. Unfortunately, rule management is quite limited: users don’t even get statistics on how often different rules are fired or how they perform. The problem is compounded because rules can exist at many different levels, including within content, in content templates, and in campaign flows. Understanding interactions across different levels can be difficult, yet BridgeTrack provides little assistance. The central content store helps a bit, since rules embedded in a particular piece of content are shared automatically when the content is shared. BridgeTrack managers recognize this issue and hope to improve its rule management in the future.

In fact, despite the press release, BridgeTrack managers have a fairly realistic view of the product’s actual scope. This shows in recent agreements with Unica and Omniture to integrate with their respective marketing automation and Web analytics products. Users of the combined set of products would have many of the the planning, off-line marketing, project management and analytical tools that BridgeTrack itself does not provide.

(Actually, based on the July 2007 press release describing the BridgeTrack integration, Omniture positions itself as “online business optimization software” that provides “one standard view across all marketing initiatives”. That’s a bold set of claims. I’m skeptical but will wait to examine them some other day.)

BridgeTrack is a hosted solution. Pricing is designed to be comparable with the point solutions it replaces and therefore is calculated differently for specific activities: message volume for ad serving and email, cost per click for search bid management, and traffic levels for landing page hosting. The campaign manager and reporting systems support all the different channels. These are not usually sold independently but could be purchased for a monthly fee. Customer data integration, which combines BridgeTrack-generated data with information from external sources for reporting and customer treatments, is charged as a professional services project.

Tuesday, November 06, 2007

Datran Media Sells Email Like Web Ads

I wasn’t able to get to the ad:tech conference in New York City this week, but did spend a little time looking at the show sponsors’ Web sites. (Oddly, I was unable to find an online listing of all the exhibitors. This seems like such a basic mistake for this particular group that I wonder whether it was intentional. But I can’t see a reason.)

Most of the sponsors are offering services related to online ad networks. These are important but just marginally relevant my own concerns. I did however see some intriguing information from Datran Media, an email marketing vendor which seems to be emulating the model of the online ad networks. It’s hard to get a clear picture from its Web site, but my understanding is that Datran both provides conventional email distribution services via its Skylist subsidiary and helps companies purchase use of other firms’ email lists.

This latter capability is what’s intriguing. Datran is packaging email lists in the same way as advertising space on a Web site or conventional publication. That is, it treats each list as “inventory” that can be sold to the highest bidder in an online exchange. Datran not very creatively calls this “Exchange Online”, or EO. Presumably (this is one of the things I can’t tell from the Web site) the inventory is limited by the number of times a person can be contacted within a given period.

Datran also speaks of having an email universe of over100 million unique consumers. I can’t tell if this is its own compiled list or the sum of the lists it sells on behalf of its clients, although I’m guessing the former. The company offers event-based selections within this universe, such as people who have recently responded to an offer or made a purchase. This is more like traditional direct mail list marketing than Web ad sales, not that there’s anything wrong with that. Completing the circle, Datran also offers event-triggered programs to its conventional email clients, for retention, cross sales and loyalty building. This is not unique, but it’s still just emerging as a best practice.

From my own perspective, treating an email list as an inventory of contact opportunities exactly mirrors the way we see things at Client X Client. In our terminology, each piece of inventory is a “slot” waiting to be filled. Wasting slots is as bad as wasting any other perishable inventory, be it a Web page view, airline seat, or stale doughnut. One of the core tasks in the CXC methodology is identifying previously unrecognized slots and then attempting to wring the greatest value possible from them. It’s pleasing to see that Datran has done exactly that, even though they came up with the idea without our help.

The notion of slots also highlights another piece of ambiguity about Datran: are email customers purchasing an entire email, or an advertisement inserted into existing email? There is language on the company site that suggests both possibilities, although I suspect it’s the entire email. Actually, embedding ads in existing emails might be a more productive use of the “slots” that those emails represent, since it would allow delivery of more messages per customer. Whether it would also annoy recipients or diminish response is something that would have to be tested.

Datran offers other services related to online marketing, such as landing page optimization. This illustrates another trend: combining many different online channels and methods in a single package. This is an important development in the world of marketing software, and I plan to write more about it in the near future.