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How High Are Art Prices Today? The Latest from Spring Auctions…

How High Are Art Prices Today? The Latest from Spring Auctions…

$85,800,000 for a Rothko

$98,385,000 for ANOTHER Rothko
$107,585,000 for a Brancusi sculpture
$181,200,000 for a Pollock

Sounds crazy, but those masterpieces were once-in-a-lifetime opportunities for the ultra-rich buyers. Postwar contemporary art’s scarcity is largely what’s driven appreciation that’s comparable to even the S&P over the last thirty years.*

Obviously, art investing is out of reach for most people.

But since 2017, Masterworks has taken a data-driven approach to investing in art, making it accessible to individual investors.

Masterworks members can invest in shares of artwork by Rothko, Basquiat, Warhol, and others. When a piece sells, they get a share of the proceeds.

Over $1.2 billion has been deployed across over 500+ artworks. And 29 exits to-date have delivered net annualized returns like 16.5%, 17.6% and 17.8% on pieces held  longer than a year, not including those unsold. 

To see Masterworks track record of sold works and inquire about membership, our subscribers can use this unique link.

*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.

What AI Learned From 10,000 Sales Calls

The patterns, mistakes, and winning behaviors most reps never notice

For decades, sales coaching relied on opinions. Managers listened to a few calls, gave feedback, and hoped for improvement. Today, AI is analyzing thousands of sales conversations simultaneously. And the findings are surprisingly consistent.

The biggest revelation? Top-performing reps do less talking than most people think.

Across thousands of analyzed sales conversations, winning reps consistently spend more time asking questions, clarifying problems, and exploring consequences. Average reps rush toward solutions. Elite reps stay curious longer.

That's lesson number one: Discovery beats presentation. The second pattern is equally important. Top performers don't handle objections better because they're more persuasive. They handle fewer objections because they uncover concerns earlier in the sales process.

Price objections, implementation concerns, and timing issues rarely appear out of nowhere. The best reps identify them during discovery instead of fighting them during closing.

AI also uncovered a common mistake. Most losing calls end without a clearly defined next step. The conversation feels productive. Everyone sounds interested. Then nothing happens. The deal stalls.

Top performers almost always leave a call with a scheduled meeting, assigned action item, or agreed-upon decision timeline. Momentum is never left to chance. Perhaps the most interesting insight?

The highest-performing reps are remarkably consistent. They follow similar questioning frameworks, qualification processes, and meeting structures regardless of the prospect. They don't improvise success. They repeat it.

That's why conversation intelligence is becoming such a powerful coaching tool. It reveals the behaviors actually driving revenue instead of relying on assumptions.

And once those patterns become visible, they become teachable. That's where performance starts to scale.

REPLY “FLOW” FOR THE LATEST AI TECH STACK

ACTION STEPS: Apply the Patterns of Top Performers
  1. Measure Talk-to-Listen Ratios
    Aim to ask more and present less.

  2. Strengthen Discovery Questions
    Uncover concerns before objections appear.

  3. End Every Call With a Defined Next Step
    Never leave momentum unassigned.

  4. Review Closed-Won Conversations
    Identify patterns your top reps repeat consistently.

  5. Coach Process, Not Personality
    Winning behaviors can be taught and replicated.

The future of coaching isn't guessing what works. It's identifying the patterns that already do.

New Course - Available Now!

I can’t believe they are practically giving this information away for free. Unbelievably worth every penny!

Subscriber - Josh

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