ICON16: How Infusionsoft Plans To Dominate Small Business Marketing (and Make Life Better For Small Businesses Everywhere)

I spent part of last week at ICON16, Infusionsoft’s annual combination of customer conference, revival meeting, and group therapy session for small business owners. The company made a few announcements, most notably a vastly improved email builder and tighter integration with online accounting software from Quickbooks Online and Xero. These changes were evolutionary at best, but company leaders made clear this was on purpose: their current strategy is to make small improvements to ease of use, not add major new or deeper features. This is based on Infusionsoft’s learning over the past ten years that the main barriers to success with its software are small businesses not knowing what to do with it and not seeing immediate value from the efforts. The real focus of the conference was introducing the latest version of Infusionsoft’s Small Business Success Method, an approach to helping small businesses plan their marketing programs. Infusionsoft’s goal is to bake as much as possible of the methodology into the software, its partner ecosystem, and prebuilt assets such as campaign plans.

This all makes perfect sense and is wholly consistent with Infusionsoft’s historical focus on helping small business grow. Although the company’s growth slowed a bit in 2015 (customers up 30% to 35,000; revenue up 25% to $100 million) CEO Clate Mask said the management has recently committed to a goal of five million customers by 2030. This is certainly audacious – it implies growing 40% per year for 15 years in a business that is highly prone to disruption – but big long-term goals are part of Infusionsoft’s culture. Whether it’s realistic is another question.  Some companies serving small business have indeed reached multi-million client counts (see table), but their products cost much less and are essential for basic operations.** Infusionsoft’s challenge is to convince a large fraction* small business owners that their product is also essential.

company	services	customers (2015)	revenue (2015)	revenue / customer
GoDaddy	domain registration, Web site hosting	13.8 million	$1.6 billion	$116
Endurance International (without Constant Contact)	domain registration, Web site hosting	4.7 million	$747 million	$159
Constant Contact	small business email	650,000	$367 million	$564
Intuit Quickbooks	small business accounting	4-5 million	$2.1 billion	$420 - $520
Infusionsoft	small business integrated sales and marketing software	35,000	$100 million	$2,857
HubSpot	integrated marketing and CRM software	18,100	$181 million	$10,000

Infusionsoft managers recognize that expanding the customer base requires making marketing easier. This is a major reason for developing the Small Business Success Method and baking it into the software. Product managers described a plausible glide path from having the system identify opportunities to having it suggest marketing programs to having it execute those suggestions autonomously. Machine intelligence would play a key role at every step of this evolution. Although such work is in early stages at Infusionsoft, the product is being engineered to allow insertion of automated marketing features as these become available. The company seems to be giving lower priority to a more flexible database, which will also be essential to handling future needs such as unstructured data. It is already behind small business oriented competitors that permit custom data tables, including HubSpot and Ontraport.  (Infusionsoft does allow custom data fields in its standard tables.)

I still think Infusionsoft could be displaced by an aggressive, well-funded competitor, especially as marketing technologies and methods continue to change.. Infusionsoft argues that their partner network is a competitive barrier that would be hard for another software vendor to overcome. This is true to some extent but Infusionsoft doesn’t dominate among marketing agencies in the way that Intuit Quickbooks dominates among accountants. Nor are many of the tiniest businesses ever going to use a marketing agency.  Similarly, Infusionsoft's existing customer base provides invaluable data to help machine intelligence systems make recommendations, but other firms could use data from fewer customers in similar ways.  Infusionsoft also argues, I think correctly, that very small businesses are harder to serve than even slightly larger ones, because the smallest business owners have so many other priorities and often so little interest in marketing. This makes channel partners, methodologies, and client support even more important – making Infusionsoft’s head start in experience, methodology, and partner network harder to overcome.

Of course, the only people who really need to worry about Infusionsoft’s business prospects are its investors and employees, although channel partners and clients do have some stake in the results. So let’s move on to the fun stuff, which is technology.

As usual at these conferences, I spent a good chunk of my time cruising the exhibition floor for interesting new vendors. One booth was staffed by attractive young ladies in dark glasses and tight-fitting police uniforms, which literally gave me nightmares. Adding insult to injury, their company provided small business financing, which isn’t even of interest to me.

Among the more relevant firms, I noted a high concentration of reporting tools, including freshlime, hipdash, cloudlink, graphly, and Wicked Reports. These address a recognized gap in Infusionsoft’s own reporting, particularly regarding visualization, custom reports, and integration of external data. Of these, I found WickedReports the most interesting: they use customer tracking to do multi-channel lead attribution and customer value analysis. According to the person I spoke with – who was fortunately not wearing a police uniform – they actually track all contacts with each customer, meaning they have the data to assign fractional credit to each touch using advanced statistical methods.  But they don’t expose that data, having judged that Infusionsoft customers aren’t ready for anything so sophisticated.  I’m pretty sure they’re right.

Two other vendors also caught my eye. ThinkingChat promised "artificial intelligence lead capture agents"  engage site visitors and capture contact information. I was a bit disappointed to find that what they really do is scan for keywords in the chat inquiries, and then provide fixed responses. That's clever but a very low grade of AI at best.  Keywords alone have major limits – “price is too high” “price is a bargain” or “what’s your price” would all trigger the same reply if the system simply looks for the word “price”. ThinkingChat adds a bit more flexibility by letting users use a keyword to direct the dialog to different collections of keywords and answers, for example to give prices for different products if a product name is mentioned first.It will also recognize when a visitor is having a problem and admit it can’t answer a question, although the user must manually review the failed dialogs to make refinements. On the other hand, ThinkingChat reports that it more than doubles the rate of capturing contact information on their clients’ Web sites, which is a pretty good deal for as little as $149 per month. So it's worth a look.

My favorite product by far was DilogR, which provides interactive content including assessments, quizzes, and surveys; dynamic videos that let users choose which sections to view; and interactive images.  This puts them in competition with firms like SnapApp, ion interactive, Survey Monkey, and Brightcove but at a fraction of the cost: DilogR plans start as low as $97 per month.  I think interactive content is an extremely important tool for engaging prospects, but have been frustrated at the time and cost it has taken my own clients to deploy it. DialogR could open this up to many more marketers, providing value for their businesses and customers alike.  I'm glad I found it.
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* There are just over 5 million small businesses in the U.S. with employees plus about 15 million companies with no employees and at least $10,000 revenue.  The total market is larger because Infusionsoft can also sell to companies outside the U.S..

** To put this in perspective: five million clients at $3,000 per client would give Infusionsoft $15 billion revenue, ranking it just behind SAP as the worlds fifth-largest software company and nearly three times Salesforce.com's 2016 revenue of $6.67 billion.***  One possible inference is that Infusionsoft would need a much lower-priced offering to reach that many customers.  Company managers did seem to be giving this some thought but it would conflict with their strong position that only business owners willing to invest serious time and effort in marketing would succeed with their product.

***Note also that Salesforce.com is just two years older than Infusionsoft; by the time it had reached Infusionsoft's current age, its revenue was already $4 billion.  Even if you count from Infusionsoft's first venture capital funding in 2007, Salesforce.com had $500 million revenue at the same age.  In other words, Infusionsoft is growing much more slowly than Salesforce.com.  That's not surprising: small businesses are slow adopters and Infusionsoft faces more competition than Salesforce ever did.  But it's hard to imagine Infusionsoft ever matching Salesforce.com's growth rate.

Teradata Adds a Data Management Platform To Its Marketing Cloud...Who Will Be Next?

Teradata on Tuesday announced it is adding a data management platform (DMP) to its marketing cloud through the acquisition of Netherlands-based FLXone.  This is interesting on several levels, including:

- It makes Teradata the third of the big marketing cloud vendors to add a DMP, joining Oracle DMP (BlueKai) and Adobe Audience Manager. I already expected the other cloud vendors to do this eventually; now I expect that will happen even sooner. I’m looking at you, Salesforce.com.

- Unlike Oracle and Adobe, Teradata has stated (in a briefing about the announcement) that it intends to use the DMP as the primary data store for all components of its suite. I see this as a huge difference from the other vendors, who maintain separate databases for each of their suite components and integrate them largely by swapping audience files with a few data elements on specified customers. (In fact, Adobe just last week briefed analysts on a new batch integration that pushes Campaign data into Audience Manager to build display advertising lookalike audiences. The process takes 24 hours.)

Of course, we’ll see what Teradata actually delivers in this regard.  It's also important to recognize that performance needs will almost surely require intermediate layers between the DMP's primary data store and the actual execution systems. This means the distinction between a single database and multiple databases isn’t as clear as I may be seeming to suggest. But I still think it’s an important difference in mindset.  In case it isn’t obvious, I think real integration does ultimately require running all systems on the same primary database.

- It is still more evidence of the merger between ad tech and martech. I know I wrote last week that this is old news, but there’s still plenty of work to be done to make it a reality. One consequence of "madtech" is complete solutions are even larger than before, making them even harder for non-giant firms to produce. That’s the primary lesson I took away from last week’s news that StrongView had been merged into Selligent: although StrongView’s vision of omni-channel “contextual marketing” made tons of sense, they didn’t have the resources to make it happen. (See J-P De Clerck's excellent piece for in-depth analysis of the StrongView/Selligent deal.)  I’m not sure the combined Selligent/StrongView is big enough either, or that Sellingent owner HGGC will make the other investments needed to fill all the gaps.

To be clear: I'm not saying small martech/adtech/madtech firms can't do well.  I think they can plug into a larger architecture that sits on top of a customer data platform and perhaps a shared decision platform. But I very much doubt that a mid-size software firm can build or buy a complete solution of its own.  If you're wondering just who I have in mind...well, Mom always told me that if I couldn’t say something nice, I shouldn’t say anything at all.  So I won’t name names.

Customer Data Platforms Revisited: The Future of Marketing Data

It’s nearly two years since I introduced the concept of a Customer Data Platform, defined as a marketer-controlled system that builds a multi-source customer database and exposes it to external execution systems.  You may recall that I listed several sets of products as CDPs: B2B predictive lead scoring and customer success management; campaign management with an integrated customer database; and data management platforms to support online advertising. Systems were included only if their data (or derived data such as model scores) was available to other systems for campaigns and messaging.

All those categories have done well since my original posts on the topic. Established vendors have grown quickly and attracted funding; new vendors have joined the mix, also often with substantial funding. So I suppose I could pat myself on the back for spotting an important trend and let it go at that.

But things aren’t quite so simple. A look at the entire CDP ecosystem uncovers important patterns that are hidden when you look at individual vendors or vendor categories. Here's a summary of what I've seen.

Customer Management Functions

CDPs exist because marketers need to coordinate customer (and prospect) interactions across channels. That coordination involves three basic tasks: gathering and unifying customer data from all sources; using that data to select the best treatment for each interaction; and delivering those treatments through the appropriate channel systems. Each of those three tasks has several subtasks. These layers are illustrated by the following diagram, which includes a unified data layer – the classic CDP.

Vendor Categories

So far so good, but it’s really just theory. Things get interesting when you look for specific systems that perform the subtasks. It turns out that there are several categories of specialist systems within each subtask, each doing similar or complementary things in slightly different ways. Connecting the logical flow to actual systems is important because looking at real products tells you what the market is saying: that is, what buyers are willing to pay for and where change is concentrated.

The following table shows what I found when I did this analysis. The list of vendors in each section isn't necessarily comprehensive, especially in crowded segments like B2B marketing automation. I should also stress that I’ve only included Decision-layer vendors who also build their own database. This makes them potential CDPs and means they have many Data-layer functions. In a sublimely liberating act of inconsistency, I have NOT limited the Delivery layer to vendors who build their own database. In fact, most do not.

Investment

The right-most column on the previous table shows the level and types of investment being made in each vendor class. I haven’t collected precise details but the general patterns are pretty strong. The major observation is that current investment is heavily concentrated on the Decision layer, with interest in predictive modeling and message selection (which could also be labeled as personalization). There’s some investment on the Data layer in data gathering vendors, especially along the lines of acquisitions by big companies (Oracle/Datalogix, D&B/NetProspex, etc.). This is a general sign of maturity. Similarly, most recent investment on the Delivery layer has been acquisitions (IBM/Silverpop, Oracle/Responsys, Teradata/Appoxee, etc.), which is a sharp contrast from the heavy venture capital funding a couple of years back. Again, this shows the relative maturity of the space.

(Caveats: although it doesn’t show up in this analysis, I do still see some interesting investment in marketing automation niches such as app marketing, distributed marketing, and agency systems. I’m also increasingly intrigued at the “tag management” vendors on the Data layer (Tealium, Signal, Ensighten, etc.), which are reinventing themselves as data integration hubs. I didn’t see that one coming.)

Implications

It’s tempting to interpret these results are showing that data assembly is a solved problem, allowing marketers to invest Decision systems on the next layer down. But any marketer can tell you, and every survey I’ve seen confirms, that most companies are nowhere near having fully integrated their customer data.

What I think is really going on is that people are investing in Decision systems that build their own multi-source databases, providing both Data and Decision functions in one package. Remember that my original CDP categories included B2B predictive vendors and campaign management vendors who did exactly that. So it seems the proper way to look at things is more along the lines of the following diagram, which shows there are several different ways to solve the customer data integration challenge: you can buy a stand-alone CDP that has only data-level functions; buy a Decision system that also builds an integrated database; or buy a Delivery system that does data, decisions, and execution. As the diagram indicates, most of the Decision vendors do incorporate the CDP functions, while only a few of the Delivery vendors do.

The diagram labels the Data + Decision combination as a “Marketing Platform”.  I think this is reasonably consistent with how most people use the term, since the key feature of a “platform” is its ability to integrate with external systems for delivery and other purposes. I’ve labeled the Data + Decision + Delivery combination as an “Integrated Suite” and used question marks to show that not all suites provide a complete Data solution. This is because many suites aren’t very good at bringing in external data or letting external systems access the data they’ve assembled.

As I noted in the previous section, most of the industry funding and excitement is centered on the Decision layer, which is where the Marketing Platforms live. The practical advantage of those systems over Data-only solutions is obvious: Decision systems deliver a revenue generating application while Data-only systems do not.

But think about that for a moment.  Each Decision system builds its own multi-source database and each integrates separately with the Delivery systems.  Having multiple Decision systems is a nightmare of redundancy:

It seems pretty clear that the better solution is to have a single Decision system controlling everything, which is arguably what most people (and vendors) have in mind when they describe a Marketing Platform. Indeed, this is exactly the direction that most Decision-layer CDPs are headed, by expanding the scope of their products from an initial point solution, such as B2B lead scoring, to encompass other applications. It’s safe to say that the people who built these systems always planned, or at least hoped, to grow in this direction.

Does the growth of Decision-layer CDPs mean that Data-only CDPs will fail? I’ll admit that only a few such systems have appeared in the past two years. But I’m not quite ready to give up on the concept.

Why?  Well, as Tolstoy never said, all good customer databases look alike, but every decision system is different. This means it’s hard to support all types of decisions within a single product. So it does seem that multiple decision systems will appeal to marketers who have the skills to use them and the scale to justify the added expense. Those marketers would benefit from a Data-layer CDP, which would make it easier to deploy best-of-breed decision tools even when those tools lack data unification functions.

The stumbling block for this approach is still the cost of integrating multiple systems: as the diagram shows, there are still plenty of connections in this model. But there’s at least some hope (although I remain skeptical) that newer technologies will make the integration easier. The other bright spot for the Data-only CDPs is that they should be attractive as partners or acquisitions for Decision and Delivery systems that haven’t built their own CDP functions.


And what about the suites? I’ve said for years that the first law of software market development is “suites win”, precisely because most companies will sacrifice best of breed functionality to avoid the costs of integration. Indeed, the big marketing clouds from Oracle, Salesforce.com, IBM, Adobe, and others all include extensive Delivery layer functions. I think it’s fair to say that while their commitment to being “open platforms” is genuine, they see that as a way of letting clients supplement the core functions the suites provide internally.  This is quite different from the idea of a shared Data and Decision platform that specifically avoids offering Delivery services. Still, there’s a  very good chance that a suite which can easily integrate supplementary functions will give marketers enough freedom to overcome the problems of lock-in, while still delivering the convenience of pre-integrated core functions. So I’m not quite ready to abandon “suites win” as a rule, although I’m a bit less certain than previously.

Looking Ahead

It’s fun to handicap the horse race among vendors and categories, but what really matters is the contest itself.   All these smart people and money are finally giving marketers the unified customer databases they so desperately need.  This removes a fundamental obstacle to the cross-channel integrated marketing that everyone recognizes is increasingly important. So let’s look at the view once we've climbed that mountain.

I’d like to tell you I see a new and perfect world, but what's actually there is more mountains.  Once unified databases become available, marketers will face a new set of challenges including:

- more need for predictive models and external data. I only lump those together because they’re already getting a lot of attention. Having a powerful database just makes them even more important.

- new focus on automated content creation and campaign design. Lack of skilled users and adequate content are already huge barriers to effective multi-channel marketing.  Removing the database barrier will only make them stand out even more. So we can expect smart people to address them through technology. Indeed, there is already plenty of activity in these areas but I think it’s fair to say that so far none of vendors have had a major impact. This is arguably the next exciting frontier for marketing technology.

- more developments in cross-channel customer tracking. Again, the need for this has been obvious and some major investments have already been made. Cookies are becoming increasingly inadequate as cookie-hostile channels like mobile become more important. Marketers will soon reach a tipping point (or maybe they already have) where they realize they must abandon cookies and move on to other approaches such as device identification or external identity databases. A new standard will eventually emerge, although I can’t even guess what it might be.

- tighter integration between advertising and marketing technology. These two realms are now largely separate with a few exceptions such as retargeting. But as personalized ad messages become increasingly possible, marketers will have ever-greater incentive to target and, ultimately, coordinate messages across channels using shared data. This is highly dependent on the improved customer tracking, so it might have to wait a bit.

- better marketing attribution. If there’s a last stop on the road to marketing Nirvana, attribution might be it. Once marketers have assembled all that data and associated everything with the right customer, they’ll finally be able to deploy advanced analytical methods to really understand the long- and short-term incremental impact of their marketing efforts. Then, and this itself would be heavenly, we’ll never again hear anyone quote John Wanamaker about not knowing which half of his advertising is wasted.

Recommendations for Marketers

Nirvana is still far distant.  Marketers face immediate choices in how to spend their time and budgets. The trends I’ve just described do have some immediate practical implications. Here are my suggestions:

- Experiment like crazy. The various Decision-layer vendors currently offer different specialties, such as lead scoring vs. product recommendations vs. churn predictions. Vendors in each area are expanding their scope so there’s a good chance you’ll eventually pick one to do almost everything. To have the best odds of making a good selection, you’ll want to learn about as many vendors as possible in advance. So run tests to build an understanding of the applications, technologies, and corporate culture. The good news is that each approach can probably pay for itself in improved performance, so these tests should be more or less self-financing.

- Keep an eye out for new data. Many of the Decision-layer vendors bring their own data to the party, and evaluating that data is one part of understanding what they offer. But there are also other data sources that are not tied to a Decision system. You’ll want to explore these to understand what value they provide value and whether to make them part of your long-term data foundation.

- Plan for integration. You may not have shared customer data or decisions today, but it’s increasingly likely they’re in your future. So every new marketing system should be evaluated in part on its ability to integrate with other systems. This involves sending data to the central database and reading data from it, as well as integrating with Decision-layer systems for predictive models, rules-based selections, optimization, recommendations, personalization, and more. Even if you’re going to use an integrated suite, you’ll want to assess how easily you can supplement its functions by tying into external products, and what kinds of products are already available for integration.

Summary

The stand-alone Customer Data Platform is one solution to the challenge of providing a multi-source, shared marketing database, but it isn't the only option.  Whichever solution marketers ultimately find most appealing, they will benefit from gaining control of their data and moving on to new opportunities that database makes possible..

IgnitionOne Buys Knotice, Prompting Many Deep Thoughts

Digital marketing technology vendor IgnitionOne today announced its acquisition of email and audience management vendor Knotice. Both vendors are listed in Raab Associates’ Guide to Customer Data Platforms in the “audience management” category. But the extract below from the CDP Guide also shows how they complement each other: Knotice does “fuzzy” matching of names and addresses and sends email, while IgnitionOne buys online media and selects best customer treatments. In other words, Knotice gives IgnitionOne a much stronger ability to incorporate non-Web channels and known individuals in its marketing and databases.

The only gaps shared by both systems are B2B clients and Web scanning for customer data, which is also mostly a B2B application. This further highlights the shift in industry acquisitions to B2C marketing technologies in general (ExactTarget/Salesforce, Responsys/Oracle, Neoalane/Adobe) and in audience data management platforms (BlueKai/Oracle, Aggregate Knowledge/Neustar) in particular.

These deals also reflect some other trends beyond acquisitions. One is the expansion of email vendors into broader multi-channel marketing. ExactTarget, Responsys, and Neolane all did this before they were acquired. StrongView (formerly StrongMail) and SmartFocus (formerly eMailVision) are making similar moves. SiteCore and SDL are moving in similar directions from a base in Web content management.

The second trend is a move by data-owning companies towards execution systems. Neustar, whose core business is linking people to phone numbers, is one example: it recently introduced “PlatformOne”, which it describes as a “centralized marketing solution” that gives marketers “a complete, real-time portrait of their customers and prospects based on accurate data, enabling a personalized dialogue across all marketing channels.”

V12 Group, another major data compiler, offers “Launchpad”, which “allows organizations of all sizes to build new audiences and manage existing customers using multiple channels and tools on a single platform.” Infogroup (which for some reason refuses to speak with me directly) in January announced “Yes Lifecycle Marketing” combining “email and digital marketing services, data, database technology, and agency services”. Venerable Acxiom has repositioned itself around the “Audience Operating System”, an “open platform” where “marketers, agencies and publishers can plan, buy and optimize audiences across channels, devices and applications, with precision and scale.”

Of the two trends, I think the second is more important. It’s not because execution systems are hard to find. Quite the opposite: they are essentially commodities, which is what makes it possible for so many data vendors to offer them. The significance is that consolidated customer databases are still very difficult to build, which is why there’s a Guide to Customer Data Platforms in the first place. A consolidated customer database is inherently part of the data vendors’ offering of execution systems, since the execution systems need to access a company’s own data to be useful.  This means that data vendors entering the execution market will compete to offer consolidated customer databases to marketers, hopefully at a much lower cost than the custom-built databases those vendors have traditionally provided. That these databases will combine digital advertising audiences with personally-identifiable names and addresses is pretty much a given, subject of course to privacy constraints. Many marketers will find hiring one of these vendors is an appealing alternative to building their consolidated customer database in-house.

Of course, today's real giants in compiling customer data are the companies like Google, Facebook, and Amazon.  They already sell advertising and do some customer data ingestion, and their resources dwarf the data vendors listed above. Don’t be surprised if any of them start building customer databases and offering execution systems. The only barrier is they may not think it’s a big enough business to be worth the trouble.

My Take: Salesforce Acquires ExactTarget, Continues Marketing Automation Industry Consolidation

I've been in meetings all day and just emerged to hear that Salesforce.com purchased ExactTarget.  Having a had a few moments to digest the news (and some lunch), here are some thoughts:

- Good move for Salesforce.  They have been lacking large-scale email capability, which all types of sales and marketing departments require.  So this fills a gap in their core product offerings.  They also get a toe-hold in B2C marketing and in marketing automation (via ExactTarget's Pardot technology).  I'd guess those were bonuses rather than primary drivers of the deal.  Frankly, of the two, entry into B2C marketing seems more important because it's such a large business and Salesforce.com needs to know where it will get its next several billion dollars in revenue.

- Price is reasonable by today's standards.  ExactTarget had $300 million revenue in 2012, so the $2.5 billion price is 8.3x trailing revenue.  Marketo's market cap is $800 million on $58 million 2012 revenue, or nearly 14x trailing revenue.  Oracle paid $800 million for Eloqua, which had around $100 million trailing revenue, another 8x ratio.  (Salesforce's press release projects a net revenue impact of $120-$125 million for 2014.  That includes just six months of revenue, but it's still a much lower annualized rate than the ExactTarget figures.  It seems the difference is largely due to adjustments in deferred and unbilled revenue.)

- Not so terrible for marketing automation in the short term.  Sure, Marketo's stock dropped 8% vs. yesterday's close, on a pretty quiet day in the market (S&P down 0.55%, Oracle down 0.67%).  And, yes, more companies will buy Pardot now that it's part of Salesforce than they would have otherwise.  But I doubt Salesforce will suddenly stop integrating with other marketing automation vendors.  Small, independent marketing automation firms already had a tough time selling against big competitors, so this only makes their lives marginally harder.  The smart ones (and that's most of them) already have a strategy in place to differentiate themselves from the big industry leaders.

- Tougher for marketing automation in the long term.  I've long argued that CRM and marketing automation should be part of the same system.  Like a broken clock, the time has come when I'm right.  Marketing automation sits between email and CRM, in the sense that it uses both heavily.  So Salesforce has effectively surrounded the marketing automation vendors with its purchase, even ignoring Pardot.  This means that Salesforce will be in the room with a solution when email and CRM users discuss expanding into marketing automation.  In many cases, clients will extend their Salesforce deployment without considering anyone else..

- Salesforce isn't done, or at least shouldn't be.  Email and CRM are two big customer-facing systems: you get absolutely no prize for knowing that your Web site is the third.  (Ok, social is in there someplace too, but it's still more smoke than fire.)  A truly complete customer-facing solution would encompass Web content management as well.  This is another idea I've long pushed, and its time will come too.  Indeed, I see many Web content management vendors already adding marketing automation-type features.  Salesforce itself might not move into this space quite yet, but it seems inevitable that they'll do it eventually.

- Adobe, where art thou?  Since I'm exercising all my favorite hobby horses, we might as well let this one out of the stable.  (Actually, someone else mentioned it to me earlier today, so at least I'm not alone in my obsessions.)  Of course, Adobe already has a strong presence in Web site management and it keeps making noises about having a "marketing cloud".  Um, excuse me guys, but you really need email and marketing automation for that.  Silverpop -- already a large Adobe partner -- is the obvious acquisition candidate to fill that gap.  Sadly, Adobe has shown no signs of moving in this direction -- but time moves on, whether or not my broken clock is ticking.  (I don't know what that last phrase means, either, but sooner or later Adobe will buy something.)

Addendum: I've now had time to listen to the analyst conference call from this morning (available at 800-585-8367 passcode 89103168).  It doesn't change my analysis above, but clarifies that Salesforce's main goal was finding a single system that would support sophisticated cross channel marketing campaigns, with particular stress on heavy automation and new devices such as mobile.  They do seem more interested in B2C than I would have thought.  

Another comment made twice was that it was a competitive acquisition.  As others have pointed out, this means there's at least one other big company looking to buy a similar integrated marketing system.  There aren't many of those available -- traditional B2B marketing automation vendors are too narrow to fit the bill.  I'll mention Silverpop again as an option, and maybe Responsys and other high-end email products.  B2C marketing automation vendors including Neolane, ClickSquared, and perhaps RedPoint could be candidates but may be too small to be of interest.