2016-01-01



One of a good promises of a Internet — a democratic, transparent, open network that would disintermediate confirmed industries, mislay fee-taking middlemen and thereby revoke a costs of products — has clearly been realized.

Priceline and Expedia mostly killed transport agents; Prosper and Avant are quick disrupting bank loan officers; and a automobile salesman has been discontinued in preference of eBay, Autotrader and Craigslist.

And yet, usually as positively as we suspicion they were left for good, middlemen have come surging behind to life — rebranded as a best friends: a personal concierge.

Case in point, personal shoppers were once a oppulance — a pointer of chosen difficulty and prestige. No longer: Hundreds of thousands of consumers are now communicating with personal stylists (or data-driven human/artificial comprehension hybrids) around next-gen conform platforms such as Trunk Club and Stitch Fix — dual platforms with ebullient value (Trunk Club was acquired some-more than a year ago for $450 million, and few experts would reject Stitch Fix’s $300 million new valuation).

And while conform is an apparent use case, a concierge economy is thriving, travelling verticals from wellness to design, with a whole horde of broad-based plane concierge services also perplexing to stir their worth.



Et Tu, Amazon?

The judicious doubt is: why? Given all a advantages of a frictionless, approved personification field, since are concierge services unexpected surging in popularity? I see 3 approaching explanations: Amazon, too many SKUs and patron acquisition.

Amazon. If we sell many any earthy good online, Amazon, a Internet’s many absolute retailer, is a incessant threat. With their distribution, precedence and logistics expertise, they have a wherewithal to undercut on price, and routine and broach products faster than many any startup — not to mention, they can work during a detriment if necessary.

So where is Amazon exposed? On a services level.

Amazon’s handling margins — already parsimonious during 1.3 percent — don’t concede for many room to sight and muster a vast tellurian concierge force. Which means that building a human-focused, relationship-driven personalization height indeed provides for a discernible differentiator opposite Amazon — one of a few ways to effectively contest opposite a hulk (and, maybe some-more importantly, one of a few ways to build defensibility in a commerce shred traditionally contingent on “brand” as a usually de facto moat).

One serve point: Amazon is essentially a end for destined hunt – possibly on a specific product or specific difficulty basis. But as purchasing increasingly shifts to mobile, it turns out that it continues to be formidable to search, learn and catalog particular items. Concierges – generally when leveraged around a mobile communication indicate – revoke that attrition and capacitate a new purchasing behavior.

Too Many SKUs. We exist in a universe of overwhelm. That overcome around multi-tasking is inspiring how we learn and think, and a overcome around optionality and accessibility of information is also inspiring how we process, “shatter[ing] focus” and deferring preference creation as prolonged as possible.

The problem of information overkill was essentially solved around curation, a mid-point on a spectrum in rebate of cognitive noise:



But formed on a hyper-growth of concierge-facilitated platforms, it appears that curation doesn’t go distant adequate for a rising set of millennial buyers — they approach even some-more assistance and personalization than before.

The doubt operators and investors should be seeking is not either consumers are joining with digital assistants, though rather, at what point will we indeed acquire too many? Therein lies a hazard of repeating a cycle of cognitive overcome and forcing a subsequent iteration of a operator/customer relationship.

Customer Acquisition. One of a curiosities of a concierge resurgence is that it might have non-stop a doorway for a subsequent era of patron acquisition.

The middlemen — when incentivized around a pay-for-performance model — indeed turn de facto patron merger agents for a company, portion as outbound salespeople. Trunk Club was one of a innovators of this indication and a portfolio company, LGS, has leveraged it with good success.

It replicates many of a power/incentives of a multi-level-marketing (MLM) model, though a pyramid-like upfront collateral commitments and obligations. MLM is a absolute indication (Herbalife is one example), though amicable offered can beget violent aggressiveness, bad patron relations and low return-purchase rates. The concierge indication is instead formulated as an expert/amateur relationship.

A concierge-turned-salesperson indication isn’t a fit for all verticals, and it also can’t be as well-leveraged by hybrid AI assistants. But it does solve some of the scalability concerns that many consumer businesses believe once normal digital channels (Facebook, Google) start underperforming.

The Death Of The Community

Until recently, there was a clever supposition that a thriving, active village would transparent an rare ability to promote local transactions. Andreessen Horowitz General Partner Chris Dixon, when announcing his investment in Soylent, noted:

“He [John Borthwick] said he was meddlesome in companies that seem to be focused on offered X though are unequivocally online communities that occur to make income offered X. This helps explain since many investors are confused by a postulated success of these companies. One instance he cited was GoPro. Many investors motionless not to deposit in GoPro since they saw it as a camera company, and camera companies generally get fast commoditized.”

However, investors who scrupulously accepted GoPro saw it essentially as a rarely intent village of sports enthusiasts, something that is really tough for competitors to replicate.

And yet, during slightest on a macro scale, a reputed value is really many in doubt.

Last month, it was reported that local buy ads on Pinterest during a holiday season did not accommodate expectations:

“The association [Pinterest] began inserting Buyable Pins into a iPhone app in late June, and usually combined a underline to a Android app in early November. The association says some-more than 10,000 merchants have assimilated a program, including large retailers and brands like Macy’s, Nordstrom, Neiman Marcus, Cole Haan and Tory Burch, though during slightest one of these large partners is saying fewer than 10 purchases a day on Pinterest, according to a chairman with approach believe of a sales figures. This source and another also pronounced that Pinterest insiders have secretly certified to being unhappy with early sales numbers.”

According to a same report, formula are likewise unsatisfactory during Twitter and Facebook. One-time startup darling, community-leveraged selling portal Polyvore was acquired by Yahoo in 2015 for $200 million — a healthy cost to be sure, though positively revoke than once hoped.

Even GoPro, remarkable by Dixon as a village outlier, has mislaid scarcely 75 percent of a craving value in a open markets over a past 12 months. True, it trades during a reward to commodity manufacturers, though it appears a village purchasing might not be as clever as once imagined.

Nevertheless, transactional communities with some-more straight specificity (such as Soylent) outperform bare-bones e-commerce. And it is clearly a really early innings in Pinterest and Twitter’s efforts to sell products directly by their platforms. Don’t be astounded to see a incomparable plane village players continue to struggle, and eventually acquire companies in a concierge space in sequence to boost their conversions, sequence sizes and frequency.

The Economics

The upside of human-driven assistant/concierge services is that in many scenarios, they supplement value to an end-user experience. The downside is that they supplement element costs to a company’s PL.

Take, for example, any of a listed wellness apps (Rise, Talkspace, Big Health, etc.), which, if operated on a quite program basement would exaggerate 80-90 percent sum margins. But a human-focused member affects that in one of dual ways:

The association employs (W2s) any series of wellness professionals who are approaching to interface with a given share of customers. Although this indication enables a wellness app to contend their sum margins, it cuts deeply into their grant margins since of a additional labor expense.

The other choice is to perspective a wellness professionals some-more like marketplace suppliers, and bond them to business on a 1:1 basis, while profitable them a commission of each transaction (say 70 percent). Though this does have a outcome of stealing a wellness veteran costs from a GA line, it also changes a inlet of a business — from a 90 percent domain program business to a marketplace indication with a 30 percent take-rate.

Given those dual options, it’s transparent since a hybrid AI/machine training model is a holy grail for several verticals — replicating a turn of personalized use while minimizing beyond labor costs and progressing unusual software-level sum margins.

That said, it is still misleading if hybrid AI assistants can produce an end-user believe absolute adequate to materially impact purchasing, acclimatisation and frequency.

For a time being, within a entirely human-powered services, a winning business models will be ones that can sinecure comparatively inexpensive, untrained people who can afterwards be empowered around program or leveraged workflows to broach a meaningfully softened end-user experience.

This has a combined advantage of agreeable incomparable supply/expert-side scalability, in that a pool of intensity concierges is distant incomparable (if opening does not need low expertise) and a turn of consistency, even opposite imagination levels, will be some-more stable.

Startups perplexing to crowd into a marketplace regulating a high turn of use need to be rarely responsive of, and focused on, determining costs. Especially as a financier marketplace continues transitioning divided from high money bake models, recurrent courtesy on how to broach a high-quality experience, deepening long-term scalability and leveraging lower-cost labor will produce many constrained outcomes.

Disclosure: Chicago Ventures is an financier in LGS, MacMia, Rise Science, Retrofit and Havenly.

Featured Image: Bryce Durbin

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