In partnership with
Investors see ANOTHER return from Masterworks (!!!!)
That’s 6 sales in 7 months. 29 all time. And the performance?
16.5%, 17.6%, and 17.8%, net annualized returns on sold works held longer than one year (See all 29 at Masterworks.com)
It’s not from stocks, private equity, or real estate… it’s from contemporary and post war art. Crazy, right?
With Masterworks, you don’t need to be a BILLIONAIRE to invest in multi-million dollar art anymore.
Historically, the segment overall has had attractive appreciation and low correlation to stocks.*
Masterworks targets works featuring legends like Banksy, Basquiat, and Picasso, identifying what they believe to have significant long-term appreciation potential, not just at the artist level but at the level of individual artworks.
As one of the largest players in the art market, with $1.3 billion invested over 500 artworks, they pass critical advantages through to their 70,000+ members to add art to their portfolios strategically.
Looking to diversify your investments in 2026?
*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.
AI Just Built the Ultimate Objection Playbook
How top teams are turning every buyer concern into better coaching
Every sales team has a library of objections.
"We're too busy."
"We need to think about it."
"We're already using another provider."
"The timing isn't right."
The problem is that most companies coach these objections from memory. Managers share what they think works, top reps rely on personal experience, and new hires are left trying to connect the dots.
AI is changing that.
Modern conversation intelligence platforms can automatically categorize objections across thousands of calls, identify which responses consistently lead to closed-won opportunities, and highlight which approaches cause deals to stall. Instead of relying on opinions, leaders now have real performance data.
This creates a practical coaching advantage.
Imagine discovering that your highest-performing reps respond to implementation concerns by asking two additional discovery questions instead of immediately defending the product. Or learning that successful reps spend more time acknowledging the objection before presenting evidence. These aren't theories—they're measurable behaviors pulled directly from winning conversations.
The smartest organizations are building dynamic objection libraries from this data. New salespeople can search for a specific objection and instantly review multiple examples of top performers navigating that exact situation. Coaching becomes faster, more consistent, and grounded in proven execution rather than individual style.
AI doesn't eliminate objections.
It eliminates the guesswork behind coaching them.
That's a meaningful difference, especially for growing sales teams that need every rep to perform at a consistently high level.
ACTION STEPS: Build a Data-Driven Objection System
Categorize Every Objection
Group buyer concerns into common themes.Analyze Closed-Won Responses
Identify how top performers successfully navigate each objection.Create a Searchable Call Library
Give reps access to real examples from winning conversations.Update Your Playbooks Quarterly
Use fresh AI insights instead of relying on outdated scripts.Coach Using Evidence
Base objection training on conversation data, not assumptions.
Great objection handling isn't about having the cleverest answer.
It's about consistently using the responses that have already been proven to win deals.
New Course - Available Now!
I can’t believe they are practically giving this information away for free. Unbelievably worth every penny!
