Thank you CNN Money for naming Riskalyze as one of the Top 15 Financial Apps. We love the profile of two of our advisors (one of them our Chief Investment Officer to boot!) who are getting amazing results using Riskalyze to engage and attract clients.
Financial Advisor Magazine just posted the five top reasons clients fire their advisor, ostensibly from a survey that they conducted to find out.
In a nutshell, here were the reasons.
- 72% said the advisor failed to communicate with them
- 51% said the advisor failed to understand their goals and objectives
- 44% said the advisor failed to return their phone calls promptly
- 34% said the advisor’s investment performance was poor
- 23% said the advisor made claims they couldn’t deliver on
Here’s the fascinating thing: four out of the five are largely about client expectations, and alignment of the client’s portfolio with their risk tolerance.
#1 and #2 — the failure to communicate and failure to understand objectives — are, at their core, the same thing. The client’s expectations aren’t in alignment with their portfolio, so the gains and losses they see have no context, and they don’t understand how that can happen without the advisor communicating about it.
#4 — the failure to deliver good performance — often happens when an advisor is anchoring portfolio risk to their risk tolerance, which is more conservative than the client. The markets are up, the client feels like their portfolio should be growing faster, and their risk tolerance agrees.
#5 — the advisor making claims they can’t deliver on — is often the case where an advisor uses a long term average to set expectations for portfolio growth, but the market almost never hits its average in a given year. So whether the markets are above average or lower than average, the client feels like the advisor isn’t delivering.
The secret that Riskalyze advisors have discovered is the power of pinpointing client expectations with quantitative risk tolerance, engineering portfolios to fit that risk tolerance, and delivering on client expectations time and time again.
These advisors have effectively killed four out of the five reasons clients fire an advisor, and their business and revenue growth tells the story.
And as for #3, until we release the Riskalyze Artificial Advisor Intelligence Robot that can return client calls for you, you’re on your own. But maybe you can use all of this new free time to return those calls now.
(If you want to join a guided tour and see more about how Riskalyze is helping advisors engineer risk to fit their clients, you can RSVP here.)
After hundreds of hours of design, development, advisor input and usability testing, we’re excited to announce the launch of the next-generation Riskalyze risk questionnaire.
There are three big innovations in the next-generation Risk Questionnaire.
Two Versions of the Questionnaire. You’ve seen our existing quantitative approach, built on Nobel Prize-winning science, that captures a detailed Risk Fingerprint for each client. Now advisors can choose a simplified version for clients who might be elderly or have simpler needs. And it’s just as easy as ever to engineer portfolio risk to fit those clients.
RQ, Phone Home. Now your clients can answer the Risk Questionnaire with a few taps on their iPhone, Nexus 5, Samsung Galaxy, Moto X or other Android device. It’s a beautiful design, and if they get stuck, they can email or call your office with a single tap. (Of course, the Risk Questionnaire has always worked on iPad or Android tablets.)
Using Risk to Generate Leads. With a simple link or a few lines of code, you can embed the Risk Questionnaire into your own web site, creating a new way for prospective clients to engage with your firm, send you their risk tolerance, and ask for a portfolio analysis to see if they’re on the right track. With a few clicks, your web site transforms from a brochure into an active tool that generates new business.
The new Risk Questionnaire is live for all Riskalyze customers as of today. The Lead Generation version will be activated for customers over the course of the next week.
To join a guided tour and see Riskalyze in action, just click here to RSVP.
By Mike McDaniel, Chief Investment Officer
“A man has got to know his limitations.” —Dirty Harry
The first time I saw the technology at the heart of Riskalyze, I became a believer.
I was 30 years old, with the majority of my investment capital in FDIC-insured investments. For years, I bucked the conventional wisdom that I should be more aggressively allocated simply because I was young. My fellow advisors would say, “look, you’ve got plenty of time to recoup if it takes a dive…you should be fully invested in stocks at your age.”
Perhaps I’ve been risk averse since birth, or maybe it was that my career as an advisor began amidst the dot-com crash, but I’ve always had a deeply-rooted aversion to risk.
I trudged along, invested very conservatively, all the while second guessing myself. Worse yet, there were times (most often at market tops) that my emotions would convince me to invest outside of my risk tolerance. Then came the inevitable market drop, I got worried, and I’d sell for a loss.
Then it happened. I completed my first Riskalyze questionnaire and my Risk Number was 30. The mathematician monitoring my answers thought something was wrong with the math. Could I really be a 30 at my age? Could I really be content with that kind of portfolio? Could it be that taking more risk than that puts me in an emotional state where I make stupid decisions?
The answer was YES to all three questions.
For the first time ever, a risk questionnaire nailed my risk tolerance and confirmed what my gut had been telling me for years. I am always happy to trade upside potential to protect myself from downside, and almost all of my bad investing decisions have come from being invested outside of my comfort zone.
I’ve been using Riskalyze methodology to measure my risk tolerance for just about six years now. My Risk Number has been extremely consistent, ranging between a 29 and 32. Knowing this has been incredibly powerful for my investing.
Ultimately, my experience taught me something very powerful: math is greater than stereotypes. I feel empowered with the ability to keep myself invested over the long run, and I know it’s producing better results than if I let stereotypical risk tolerance suck me into the “buy high, sell low” cycle again.