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Private Credit Belongs in the Fixed-Income Sleeve. Against Those Benchmarks, the Numbers Aren't Close.

For the trailing twelve months ending March 31, 2026:† ·

  • Percent ABS: 14.6% net returns after losses

  • High-yield bonds: 8.9%

  • Leveraged loans: 6.1%

  • Investment-grade bonds: 4.5%

Private credit isn't an equity substitute. It belongs in the fixed-income sleeve — and against bond benchmarks, the performance gap is hard to dismiss. A collateralized loan with a fixed coupon and a defined repayment schedule fills the same portfolio role as a bond, with different terms and a different risk profile.

What you access on Percent:†

  • 17.0% current weighted average coupon rate

  • 93.5% of performing deals pay monthly fixed-rate coupons

  • Deal terms 6–24 months

  • Full borrower documentation before you commit a dollar

  • Starting at $500 $2B+ total issuance. 1,000+ deals. 60,000+ accredited investors. 0.44% lifetime net loss rate on asset-based deals.

Alternative investments are speculative. No assurance can be given that investors will receive a return of their capital. †Past performance is not indicative of future results. Benchmark indices shown for market context only and are not directly comparable to Percent's performance. Terms apply.

Sales Teams Using This AI Tool Are Pulling Ahead Fast

The emerging technology reshaping prospecting and follow-up

The biggest AI advantage in sales right now is not content generation. It’s signal detection.

Elite sales teams are quietly adopting AI-powered intent tools that identify who is most likely to buy before competitors even realize the opportunity exists. And it’s changing prospecting completely.

Most reps still operate reactively. They cold call static lists, send generic outbound emails, and rely on volume to create pipeline. Meanwhile, top-performing teams are using AI tools that track buying signals in real time.

Website visits. Hiring activity. Content engagement. Tech stack changes. Funding announcements. Competitor research behavior.

These signals help reps prioritize prospects already showing intent instead of wasting time chasing cold opportunities. That’s the real shift. AI is no longer just helping teams communicate faster. It’s helping them target smarter.

The highest-performing organizations are combining AI intent data with automated follow-up systems. When a prospect engages with content, visits pricing pages, opens emails repeatedly, or interacts with LinkedIn outreach, workflows trigger personalized follow-up automatically.

Not generic automation. Context-driven outreach. For example, if a prospect downloads a case study and revisits the pricing page within 48 hours, the rep receives an alert with a prebuilt follow-up framework tied directly to that activity.

That shortens response time dramatically. And speed matters more than ever.

Because modern buyers engage in small windows of attention. The teams responding fastest (with relevant context) are winning more pipeline.

This is why AI-powered prospecting is creating separation so quickly. Less guessing. Less wasted outreach. More qualified conversations. But the teams pulling ahead are not relying entirely on automation. They are combining AI-driven timing with human-driven communication. That’s the winning formula.

ACTION STEPS: Modernize Your Prospecting System
  1. Implement Intent-Based Prospecting Tools
    Prioritize buyers already showing engagement signals.

  2. Automate Trigger-Based Follow-Up
    Build workflows around prospect behavior.

  3. Reduce Low-Intent Outreach Volume
    Focus reps on higher-probability conversations.

  4. Shorten Response Time Aggressively
    Speed-to-contact is becoming a major advantage.

  5. Combine AI Insights With Human Personalization
    Automation works best when paired with relevance.

The future of prospecting is not louder outreach.
It’s smarter timing.

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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