Tag Archives: bots

Human satisfaction: Can a bot fake it?

This article was originally published on Inman News:

Excitement about new technology in real estate is usually followed by long delays in practical application. Logistical, territorial and legal hurdles often stand in the way.

Bots seem to be overcoming those barriers with ease.

How do bots work in real estate?

Bots in real estate create artificially enhanced relationship management. From conversation to conversion, nurture and management, software systems are being built to interact with end users as if there was a relationship with a human on the other end.

Sometimes these systems tell the consumer interacting with them that they’re a bot. Sometimes they don’t.

In some cases, they’re a little bit of HAL 9000, assisted by a little bit of Dave the human.

The gray area creates an interesting question: how much “faking it” is ethical — and how much does the end user care?

No doubt you’ve seen “the scene” from When Harry Met Sally. (Millennials, go YouTube it — maybe not at work.)

The conversation centers on whether participants in a transaction can really tell whether or not their counterpart received the desired experience.

Actor A may feel like he has achieved a win-win outcome, while Actor B may just be humoring his obliviousness. Not unlike a parent letting a child beat them in a game to deliver pleasure through illusion, “faking it” is sometimes the most pragmatic decision.

When Riley met Jenny

When the transaction is business-to-consumer, faking it may often be preferable. If a bot can provide a human-like experience with a fulfilling outcome for the consumer, isn’t everyone better off?

Meet Riley. He is a combination of bot and human, but he doesn’t like to talk about it.

Consumers, by and large, don’t know he’s “human-assisted AI.” An inquiry to Riley about a property may begin with some standardized questions and replies. Quickly, though, it transitions into an actual human experience.

Riley’s job is to answer questions and keep the consumer in conversation with value and time that the agent or business-person may not have at the moment.

I conversed with Riley a few times, looking for the moment where the contextual intelligence of a real person took over.

It’s a smooth transition. Most consumers probably aren’t skeptics, looking for the seams in the process.

Even if they knew, though — would they care? Probably not, if the outcome they desired had been delivered.

Call 867-5309 for a good showing

Jenny has a different point of view. She’s built on IBM’s Watson technology, 100 percent bot, and proud of it.

Not afraid to answer 20 texts or Facebook messages at 3 a.m., she wears her digital brain on her sleeve and tells consumers who she is upfront.

It’s a good bet that consumers will be more willing to barrage a bot than a human with extensive and repetitive inquiries.

Jenny’s job is to quickly dispense of the most mundane listing maintenance duties: answering sign calls about property details, showings, flyers, open houses and so on.

Her primary goal is to make the listing management system efficient. Call her Lucy, Clippy or TI-85 — it doesn’t make a difference. Consumers know she’s a bot.

Will Jenny’s upfront AI admission limit other opportunities?

She could transition to lead conversion mode mid-conversation. Already knowing that they’re talking to a bot, though, consumers would probably be less likely to answer a long string of questions about themselves.

Then there’s that nagging truth about real estate: Human loyalty generates long-term clients and referrals. Consumers who feel that their agent has personally provided his or her time to them will often feel obligated to work with, and refer other clients to, that agent.

The giving of human time — real or perceived — generates loyalty. Can a self-identified bot deliver the same feeling?

Team in a box

A team of bots seems like the ideal setup for efficiency.

Riley is mum about his AI to improve the consumer’s experience in the initial conversation. He is the lead conversion bot.

Jenny is the card-carrying bot office manager, delivering answers efficiently with a machine learning badge.

Sally is the incognito sphere nurturer who leans heavily on the real agent for support.

The level to which they support one another or reveal themselves as inhuman will depend on the ethics, perception and aggressiveness of their employers.

Of course, technically, these bots don’t have to be disconnected entities. They’ll likely be built as a single software program with different personalities for different duties.

Call it a team in a box. Defining the personalities is the key to optimizing the user’s perception.

The technology is already capable, but the personal nuances will determine consumers’ acceptance of the experience.

“You don’t think that I can tell the difference? Get outta here.”

Harry didn’t know until he was told. Will consumers know — or care?

A quick note:

CRMLS has begun passing on listing licensing fees from third-party portals to its member brokers. Bravo! The dollar amount is minuscule today, but the decision is still significant.

CRMLS can’t disclose which portals are paying for direct feeds, and how much they’re each paying, due to contractual obligations. This isn’t a surprise. I’ve been asking around the industry for years and getting jazz hands as a response.

The spotlight is beginning to shine through the smoke and mirrors of listing syndication finance. How much will portals pay for a listing? How much is that listing worth in ad revenue? How many MLSs are being paid by portals, and how many are willing to pass that revenue on to the brokers?

Why not create a model where the portal pays a referral fee to the broker/MLS based on a percentage of advertising revenue generated? Brokers know they’re not leveraging their listings’ advertising value. Creative options for greater revenue capture will continue to grow as broker margins shrink.

More exposure of these kinds of financial agreements is good for real estate. Pricing is arbitrary when sellers don’t know the market value of their product. Let’s continue to air out the details.

Sam DeBord is managing broker of Seattle Homes Group with Coldwell Banker Danforth and President-Elect of Seattle King County Realtors. You can find his team at SeattleHomes.com and BellevueHomes.com.

Provoking, flipping and dropping bombs (Inman Connect Speed Wrap)

This article was originally published on Inman News:
by Sam DeBord

Last week was Inman Connect in San Francisco, one of the best events of the year (and no, not only for the parties).

I’m writing to you from a campground in the Cascade mountains, so I’ll try to wrap up a lot of content quickly.

Bots taking over

Connect is always looking for the leading edge of tech. Bots are right at our fingertips.

Amazon’s Alexa was on stage at #ICSF answering Brad Inman’s questions — the way lead management software will in the near future.

A number of companies are already providing a combination ofhuman/bot lead conversion that works for agents while they sleep. Those conversations are digitally stored.

The human concierges likely won’t last long. Machine learning and that database of interaction analyzed against conversion rates will create a finely tuned sales bot in no time.

It won’t replace the agent in the transaction, but it could replace the inside sales lead conversion/appointment setter. I’d hire one. (And this week, Inman launched its own bot for readers, too.)

The software has eyes

Speaking of machine learning, RealScout has nailed it. Millions of human eyes interpreting real estate images have been transformed into a software intellect.

The machine can read images more accurately than its human counterparts. It sees the open layout and the box beams, even if the agent doesn’t identify them in the listing.

Consumers use natural language search and enjoy a curated discovery process, free of the artificial constraints of archaic code.

This is where the real estate experience improves. MLS and agent/broker inefficiencies are overcome by intelligent investment. Technology and capital come together to add value to the process.

We need more of this.

‘MLX > MLS’

That headline on W + R Studios’ website might be unnecessarily provocative, but that’s pitchman Greg Robertson’s style. Cloud MLX won the Inman Innovator Award, and it’s better than any MLS interface I’ve seen.

Like RealScout, it breaks free of traditional MLS search constraints.

With instant search suggestion feedback and past favorites/saved searches built into real-time interaction, the user’s efficiency grows with continued use. It’s a secondary or complementary MLS interface (there’s no “add/edit” listing feature). For now, it’s not a direct competitor to the big primary MLS providers.

This company is doing CMAs better than MLSs. It has better listing alerts. Now it has a superior user interface. What’s next?

The arms race

Congrats to the entrepreneurs who are being acquired in this bubbly market. Commissions Inc, a little startup out of Atlanta, sold for $250 million. That’s one-quarter of what News Corp paid for Move/realtor.com.

Leads and customer management software are still the story, no matter how many speakers try to shout it down.

Bridge Interactive Group was just acquired by Zillow. If you’re not familiar with them, have a look at their services, then look at Project Upstream’s. There’s no cold war here, just some friendly comrades building agent tools and ad platforms.

 

Bridge Interactive Group

 

Flips, bidding wars, and discounts

There are a lot of new business models getting airtime at Connect.

Haus is a bidding war platform that promises transparency. The legend is that an Uber founder got angry when he was outbid on a home, so he started a new company where everyone can see everyone else’s offer.

It’s going to be as hot as the taxi business. The potential user base is sellers in hot markets who want to give away their strategic advantage. Why would listing agents encourage their sellers to dump their informational leverage? How did this question not come up immediately to the founders?

Knock is another startup. It flips homes by giving sellers a guaranteed price. The property is listed publicly, and either Knock buys it at the pre-arranged price, or the seller gets a premium if it sells for more to another buyer. Knock takes some kind of fee, which should be front and center on its website but isn’t.

Transfer taxes limit some flip models. They can be up to 2 percent of the purchase price. In a traditional flip with two sales, that 4 percent really squeezes the profit margins.

Opendoor is taking a strategic approach by traditionally buying/reselling flip homes in states with low/no transfer taxes. They’re pretty successful so far. Homeowners are willing to forgo the money available on the open market for a guaranteed price/easy closing. It will be interesting to see if they can scale in other states.

I have an uneasy feeling about how well these sellers are informed about the value of their homes. It’s one of those uncomfortable topics like pocket listings: consumers have free choice, but the quality of advice they receive from their advisers has a great effect on those choices.

SoloPro came to talk about its limited-service model. It embodies the philosophical disconnect between many outsiders and industry insiders.

The company “unbundles” real estate services. Its marketplace lets consumers meet licensees for flat fee, discount services. Open a door for X dollars, write an offer for Y dollars, Agent Z who happens to be available today will serve your needs.

The agency relationship can’t be dismembered without losing value. Piecemeal representation is lesser representation. Continuity creates value. Inexpensive is sometimes just cheap.

Hobbled-Leigh

You’d think the cast Leigh Brown had to lug around as MC of Connect would have slowed her down, but she came out swinging. Her performance was edgy and smart, in classic Inman style.

In a departure for Connect, she pitched politics and the Realtor PAC from the stage. Some cheered, some grumbled.

This is a pretty simple one, folks. You might not like politics, but we all enjoy the extra money RPAC is putting in our pockets. Anyone who sells, owns or vends to those who do, is benefiting from those carrying the water.

Dropping bombs

I don’t mind when speakers use off-color language, but it’s painful when they don’t know how to wield it. It’s a lot like a weapon. If you’re going to take it on stage, you’d better have a really good (expletive) handle on it.

A few wannabe gunslingers put us all through some pain last week. Don’t be one of them. If you’re not sure, don’t try it.

Startup Alley

Agents don’t want more tools. They want fewer, better tools, and First promises that.

Instead of adding a new CRM, First simply monitors a user’s social networks. Using predictive analytics, its algorithm identifies moments in your sphere’s lives that may signal a move. The agent is alerted to make contact.

Just keep doing what you’re doing on social media and your vendor will do the rest. We need more of this: horsepower on the back end, simplicity for the user.

Unsolicited advice

I’m always struck by the number of entrepreneurs that appear to not have sought broad guidance before launching. There are some really smart folks who could simply sit down with some savvy brokers and agents to find out that their product is functionally obsolete in this industry.

They might save themselves the first failure or pivot.

This isn’t about discouraging innovation. Push the edge, but first ask a few people if it’s just a cliff.

It’s not just the old stodgy guard that’s saying your product/model won’t work. It’s often someone who wants you to improve the experience but can already see what you can’t.

We just might save you a lot of time and money.

Sam DeBord is managing broker of Seattle Homes Group with Coldwell Banker Danforth and President-Elect of Seattle King County Realtors. You can find his team at SeattleHome.com and SeattleCondo.com.