Tag Archives: real estate technology

I Want to Use Robots to Get You Clients

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The following is a guest post from Gabriel Anderson.  Gabriel has started a company called Revongo, and he’s working to bring a more efficient marketplace to the real estate industry.  

Gabriel is a maker.  He’s a maker who is trying to create something to improve the lives of the doers, to improve your life.  That’s just the type of thing we like to highlight here on RETSO.com.  This is an intro to what Gabriel and his team have cooking, in his own words. We think it is worth your attention so check it out. . . 

 

retso robotBig data analytics has changed everything from the business of scouting for baseball talent (think “Moneyball”), to Wall Street trading ruled by algorithms by so-called quant funds, to getting you from New York to LA through an AI auto-pilot.

And soon, if I and my team have our way – we’ll use AI (artificial intelligence) to match the right consumer, to the right agent at the right price, and put clients on a path to you as simple as Fidelity’s “Turn Here” path.

Let’s not mince words… I want to free agents from having to be professional marketers, and get you back to the business of transacting.  You’re welcome.

In The Beginning

Back in October 2011, my co-founder and I got together on the phone.  We were both coming out of previous real estate ventures and looking to build and innovate something new… something that would change the world.

We were both at a point in our lives where we wanted to make a life… not just a living.  We wanted to “put a dent in the universe” and help push society forward.

Kind of a lofty goal… but if you’re gonna build a company, why not be audacious, right?

We discussed a couple of ideas, and really got excited about this notion of using data, AI (artificial intelligence) and ML  (machine learning) to build a platform of ready, willing and able sellers that were ready to transact, and matching them w/ real estate professionals that were the best candidates for that particular property.

Essentially we were talking about building a more efficient marketplace for the real estate business.

We had a couple of iterations, until we finally had the beginnings of an idea.

But an idea in and of itself is worthless… I wanted data.  So, we pulled a list of over 250 expired listings, newly listed properties and their listing agents and I literally cold called (i.e. – begged) people to interview them and see if we had the beginnings of a true business idea.

And the responses were right in line with our business assumptions:

  • 87.6% of consumers would like objective data when deciding who to hire to list and sell their property BUT it was not the deciding factor.  Clients also needed subjective client satisfaction scores, that gave them that “warm and fuzzy” feeling (Hint:  that was our first Eureka moment).
  • 71.6% of consumers would be comfortable using an agent recommendation tool using AI with relevant, public information to help them hire a real estate agent (after I explained what the hell AI was of course).
  • 82.4% of consumers were willing to pay a premium to their real estate agent, for specialized knowledge especially if that knowledge lead to the sale of their property for more money, better terms, and fewer days on market (shown through objective analysis).
  • 80% of real estate agents enjoy activities relating to transacting and doing real estate deals (including negotiations, showing properties, etc.) as opposed to activities related to prospecting for clients (including marketing strategies, listing appointments, etc.).

In God We Trust… Everyone Else Must Bring Data

When we first started looking at patterns in real estate agent data, we noticed 3 types of agents:

  1. Top Producers
  2. Up-and-Comers
  3. Lifestyle Agents

What was even more interesting though, is underneath that we found 361 micro-niches in the real estate agent business.

And this is a key find.  Smart AI looks at more than crude data points (avg sales price, avg DOM, SP/LP, etc.) but rather benchmarks them to the particulars of a specific property.

In other words, how many properties have you listed or represented buyers in, that are similar to the subject property?  And how were your metrics with those types of properties?

That’s good, clean, predictive AI.  That’s powerful data analytics!

If You Must Compete, Compete Intelligently

Real estate is an experiential business.  The more you transact the more knowledge you have and the more value you bring to each transaction.  Make sense?
Good.

So why does the agent that’s done 48 deals in the last 12 months earn the same as the agent that’s done 18 deals in the same time?

Holding all other things constant (I think I’ve addressed the specialization argument already), that makes no sense and it’s a losing proposition for everyone.

With solid and transparent data a more efficient marketplace is created.  One where clients can find exactly what they’re looking for, and pay for it.

The more you transact the more value you add to your clients and the more you’re compensated for this value.  It’s a winning proposition for everyone.

  • The client wins because they can make a clear distinction between price and quality – and decide what’s most important to them.
  • The real estate agent that has more experience wins because their experience is rewarded with more money.
  • And the agent with fewer transactions wins because they have a real way to compete on pricing, and build up that experience that garners a premium.

I’ll Show You Mine, If You Show Me Yours

So what does this product look like?

It’s a consumer facing platform, that agents have a portal to.  Let’s call it a consumer-facing Open-Source MLS if you will.

There are some tough challenges that need to be addressed, and we’re excited to tackle them.  Several that come to mind:

  1. Data Accuracy – GIGO (garbage in, garbage out) means we need agents to upload data directly.  But first and foremost, the previous data has to be cleaned up.  We’ll do it.  Without accurate data nothing works properly.
  2. The Consumer Revenue Model – The consumer needs to pay.  They should have the ability to access information for free, but for agent data, matching and other in-depth analysis they should pay for the service.  This eliminates the conflict of interest of having our revenue derived from agents.  Anytime the revenue and the customer are disconnected, funny things happen.
  3. Team Accounts, and Off-Market Transactions – because agents are uploading data directly (and it’s not being pulled from the MLS) things like what to do in the case of teams, or new developments, or trustee sales can be solved.

But we think we have some solutions to these problems, by building an independent platform.  It can’t be built on top of existing systems… we have to build from scratch.

A Big Enough “Why”

I started building this product with a specific person in mind.  The best agent I ever had was incredible.  She knew CC&R’s inside and out, had her law degree and knew contracts like the back of her hand, and could negotiate the hell out of a deal.

But she left the business in 2011, because as good as she was an agent she was horrible at marketing herself.  She thought just being a good Realtor was good enough.  She wasn’t good at door knocking, and she despised sending annual calendars.  She liked real estate, and loved her clients.

I built this company for her, and all the other kick-ass agents out there.  We’re going to make it happen. As God is my witness, I’m hell-bent on making it work.

To find out more you can check out our blog for updates, or visit us at www.revongo.com

 

Photo courtesy of Lisa Archer.  Thanks Lisa!

Shift Happens: A Case For An Open Source MLS.

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shift happens-- the case for an open source MLSLet me preface this post by stating that I do not have all of the answers for what I’m about to postulate.  The concept is controversial, polarizing, sticky… the red tape kind… and I fully expect it to be met with extreme prejudice and/or trivial dismissal from long established, well funded institutions as well as a myriad of pundits.  A lot of jobs stand to be eliminated, repurposed… while others are created.

As a self described ‘Agent of Change’ around the real estate and mortgage space, I’ve sat in the shadows lurking, observing the discussions regarding ‘Raising The Bar’, IDX listing exchange equity, why it’s a bad idea to send listings to the aggregators and the such.  All conversations that, IMHO, root back to the 900 some odd MLSs across the nation.

So, what I would like to talk about is the concept of an Open Source Multiple Listing Service.

Prelude to a potential shift

The current MLS landscape is full of inefficiencies.  They are fragmented databases with little to no continuity between them.  Most MLSs do not allow the commingling of data between each other.  There is a severe lack of innovation.  Accessibility to insightful data is tightly regulated and heavily guarded.  MLSs engage in monopolistic practices.

Don’t believe me?  Try starting a new MLS where an entrenched player resides.  Economic and legal impracticality will quickly dissuade even the most determined potential entrant, if being blackballed doesn’t work first.

MLSs are typically comprised of boards that are typically comprised of brokers and some other figure heads.  In other words, the inmates run the asylum and are paid handsomely to keep this order in place.

And most importantly, an MLS’s primary paying customer is a licensed Realtor, since you must also be a member of the National Association of Realtors (as well as local Associations) to gain access to their walled gardens.

It costs money to belong to MLSs (and multiple Associations), ergo, MLSs make a lot money.  Therefore, it behooves the NAR and the local associations to keep barriers to entry to becoming a Realtor low–  very low.  More members equals more revenue.  Further, this overarching business model perpetuates, even necessitates, the baseline Realtor ~6% commission model… I know it’s not supposed to exist, but it does.

This will  not be easy and there will be blood.

I want to hone in on two main points:

  1. MLSs must cease to exist in their current iteration for the real estate industry to truly ‘raise the bar,’ and an open source platform is just the type of viral, agile technology that can make it happen.
  2. MLS’ primary revenue should be derived from consumers, not real estate professionals.

There have been many positive advances as far as increasingly open property data sharing (specifically, the creation of IDX rules forced upon the industry in the form of a DOJ antitrust suit).  However, IDX as we know it may be in real jeopardy.  VOW policy will survive and how IDX participation plays out really has no bearing on the fundamental issues that suppress the real estate industry as a whole.

As stated, MLSs are core to the reason for a bloated industry in both size and relative cost to the consumer and the Realtor.  Consumers do not care that the ~6% commission they see on HUD statements is split thrice and that agents have to pay fee upon fee upon fee, leaving them with a small fraction of that exorbitant commission that’s more akin to an increasingly prohibitive tax.  Prohibitive in the sense it consumes equity to the point that a seller may have to bring money they don’t have to closing.  Listing agent and seller incentives are nowhere close to being aligned from an economic perspective.

“Conferences and data summits and committees and all the meetings in the world won’t change a thing…
An open source MLS platform, I believe, can.”

Conferences and data summits and committees and all the meetings in the world won’t change a thing…
An open source MLS platform, I believe, can.

Central to open source projects is the idealism that no one entity owns or controls the tools.  Yes, there’s money.  Money is made in an open source environment by offering services around the technology.

Think: WordPress.  There is an entire economy around providing services around the platform, not by charging for the platform itself.  More on this later.

Architecting an open source MLS would require a community of willing developers.  Considering the agenda at hand, its overall potential and understanding the developer culture, I can’t help but think finding these folks wouldn’t be too difficult.   Knowledgeable peeps in the current MLS arena would need to sign on as well.  Some would probably require some compensation for their time… so a micro fund of sorts could be created to subsidize costs.  In any case, ‘Many Hands Make Light Work’.

Real, meaningful standards would be created.  Everything from data consistency and quality, to front and backend UI/UX, to eliminating the multitude of loopholes currently exploited in current MLS systems (i.e. manipulating days on market by removing and re-listing a property).

Legacy MLS vendors and the crony capitalistic landscape would be mitigated… forced to evolve or die.  An agile breed would thrive and new blood would blissfully be infused into an organism on virtual dialysis.

The platform that’s developed would be made available to all licensed real estate professionals and brokers, not just the NAR or local association dues paying members.  It would be a central repository that’s segmented but not segregated by locality.  The ridiculous rules around ‘no commingling of listings’ would be eliminated.  FSBO’s and other property types could coexist on one platform in perfect harmony.  Cooperative compensation, supposedly the initial and pillar purpose of a MLS, would be maintained, although under the transparent lens for consumers to see and understand.

Buyers agents who specialize in specific local areas could be displayed (without advertising) to preserve single agency… ensuring buyers get proper representation.

Consumers would have access as well.  They could be given the ability to approve how their listings are marketed, ensuring a certain level of quality.  They could evaluate an agent’s value based on empirical data thats logically aggregated and displayed with proper explanations, rather than heresay.

Syndication could be opt-in and very specific as to where listings are sent.  Zillow, Trulia and IDX ‘yes’… Realtor.com and re-syndication ‘no’… for example.  Although I suspect that if something like this were developed, the syndicators would be negatively affected, and substantially at that.  They would need to quickly pivot to different value propositions, focusing on the visual display of information that would be in violation of Fair Housing on a real estate professionals website… things of that nature.

I could and will go on about form and functional benefits as well as ‘how’ in future posts, alas I need to address the other major component-  revenue.

Real estate agents shouldn’t be the only, nor the primary, source of revenue for an open source MLS platform.  Many wouldn’t want to participate and substantial revenues would be lost.  However, there is the potential for new products to be sold… to the consumer.

I mentioned above that consumers could evaluate an agent based on empirical data, aggregated and displayed in a logical format.  They would have to pay to access this information, like a car fax for agents.  This topic is fruitful enough to yield a 1500-word post in and of itself, and something I’ve written about in the past.

In an informal poll of consumers over the years, 100% of them said they would pay $30-$50 to access and assess an agent based on objective performance metrics.  Subjective reviews from past clients most certainly have a place here, too.  Do some quick and dirty math, ~$40 per transaction side..?  That more than makes up for loss of traditional MLS dues.

Offer a Freemium model for general access, but charge consumers a nominal fee for elevated access to the MLS for a fixed period of time.

An ‘App Store’, similar in nature to Apples  has created, would seem to make for a nice cultural fit here.  Vendors would share revenues with local associations to compensate their participation.  It appears there are already players lining up for such a place.

There are more than enough ways to monetize this concept, some good people who make a living supporting current MLS initiatives could transition themselves and their brain power to come up with additional ideas.

More about revenue sharing, specifically who receives the revenues from such supporting products and services.  Obviously the vendors and service providers would collect their share, and it would seem that local associations are the most logical industry beneficiary.  They could be used to offset association dues, improve continuing education and a number of other items that I can’t think of right now but wouldn’t be too hard to figure out.

“We’re now at a hypothetical place where the real estate industry could really evolve as a whole by disintermediating the traditional MLS.”

We’re now at a hypothetical place where the real estate industry could really evolve as a whole by disintermediating the traditional MLS.

Local association and MLS dues would be replaced by consumer-generated revenues.  Since revenue dependence would be shifted, the barrier to entry to become a Realtor or real estate professional could be dramatically increased.  The number of Realtors would surely decline under such conditions, maybe by as much as 40-50%… but that’s a good thing, IMO.

Commission-based compensation could/should be addressed as well.  As consumers become more comfortable with who it is they are actually dealing with (from an objective and subjective standpoint, due to the increased levels of transparency), real estate professionals may be able to command retainers and other more conventional forms of compensation.

In theory, there would be less gross revenues, but the allocation of those revenues would fall in the real estate agents favor due to less ancillary expenses to pay.

Yes, yes… I hear you.  There are still a lot of granular details to consider.  Data formats, API’s, user access and editorial control rights to levels of data, other revenue models, equitable revenue distribution. . .  rules need to be written.

Who writes these rules and how they are implemented requires a novel approach, moving away from the aforementioned traditional committees and organizations who get bogged down in the politics and self serving agendas.  Fresh blood must be infused using truly innovative methods like open source, agile, community-based development.

This post is simply an initial thrust is in line with the RETSO mantra of ‘Where Ideas Meet Doers’.

There are real ideas here.  The greater industry needs to change at foundational and fundamental levels if it ever hopes to ‘raise the bar’, ‘increase professionalism’ or any other euphemism that is today little more than lip service and noisy chatter in the social media echo chamber.

Oh, and lest you be left with the thought that no one would want to participate in an endeavor such as developing an open source MLS, watch this video:  The Surprising Truth About What Motivates Us

I look forward to continuing the conversation. . .

 

RETSO Radio: Dean Ouellette and Jeremy Blanton

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new year is here and the first show enjoyed a rapid fire exchange of techno-shuffling recaps and looks ahead. The countdown to RETSO4 is on and we’re looking for great stuff this year from all facets or the REtechSouth family and, more importantly, you!

What would you like to learn about this year on REtechRadio?