Sally Ladrach

Guest

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Sally Ladrach,
Director of Sales Enablement & Training at SavATree

"Revenue Architect Podcast"
Episode 13

Revenue Enablement That Moves the Numbers with Sally Ladrach

Revenue Architect is the podcast for revenue leaders navigating the evolving landscape of sales, RevOps, and revenue management. Each episode dives into practical strategies, proven frameworks, and real stories from operators who are building and scaling modern revenue engines.

In this episode of the Revenue Architects Podcast, we sit down with Sally Ladrach, Director of Sales Enablement & Training at SavATree and board member of the Revenue Enablement Society.

Sally shares how revenue enablement leaders can move beyond training delivery and become true strategic partners by owning the data behind pipeline performance, forecasting accuracy, and revenue growth.

In this episode, you’ll learn:

  • Why revenue enablement must understand and own CRM data—not just content and training.
  • How to improve forecast accuracy by fixing system inputs and pipeline hygiene.
  • How to identify “winning behaviors” using closed-won data analysis.
  • Why speed-to-lead is often the most overlooked revenue opportunity.
  • How to avoid the “shiny object spiral” when evaluating AI and new sales tech.
  • What strong partnership between Enablement and RevOps really looks like.
  • How to use data to shift from reactive training requests to strategic revenue advisory.

If you want enablement to have a real seat at the executive table, this conversation will show you how to bridge the gap between metrics leadership cares about and behaviors happening in the field.

The Revenue Architect Podcast Episode 13: Show Notes

When Revenue Enablement Owns the Data, Revenue Moves

What if the reason enablement doesn’t always have a seat at the executive table has nothing to do with influence—and everything to do with ownership?

In our recent conversation with Sally Ladrach, Director of Sales Enablement & Training at SavATree and board member of the Revenue Enablement Society, one message came through loud and clear:

If you want to drive revenue, you have to own the data that drives it.

This isn’t a conversation about better onboarding decks or more engaging training sessions. It’s about how revenue enablement can move from reactive order-taker to strategic revenue driver—by following the numbers all the way back to behavior.

The Shift: From “Do This Training” to “Here’s the Revenue Opportunity”

Most enablement teams are familiar with the request cycle:

  • “Sales needs negotiation training.”
  • “Forecasting is off—can you fix it?”
  • “Reps aren’t using the CRM correctly.”

The instinct is to respond quickly and build something. But Sally argues that the real work starts before the solution.

Instead of asking what should we build?, she asks:

  • What metric are we trying to move?
  • How is that metric constructed?
  • What feeds into it?
  • Where exactly is the breakdown happening?

That means understanding CRM object relationships, stage definitions, conversion rates, time-in-stage, and the behaviors behind them. It means tracing executive-level metrics—pipeline coverage, win rate, forecast accuracy—back to frontline execution.

Because until you can quantify the problem, you can’t credibly recommend the solution.

Clean Systems Create Credible Forecasts

Forecast accuracy is one of the fastest ways to gain—or lose—executive trust.

But inaccurate forecasts are rarely just a “rep discipline” issue. More often, they’re a systems design issue.

  • Free-text fields.
  • No automation to close stale deals.
  • Missing stage-entry dates.

When systems allow ambiguity, pipeline becomes inflated. When pipeline is inflated, forecasts are unreliable. And when forecasts are unreliable, leadership loses confidence.

The fix isn’t a motivational speech—it’s structural clarity.

Sally described starting with closed-won analysis:

  • How long do deals actually take to close?
  • What patterns show up consistently?
  • What’s realistic for each stage?

From there:

  • Auto-close deals that exceed reasonable time thresholds.
  • Standardize fields.
  • Remove subjectivity.
  • Automate what can be automated.

When inputs improve, the forecast improves. And when the forecast improves, enablement becomes part of strategic planning—not just execution support.

Diagnose the Revenue Engine Like a System

One of the most practical frameworks discussed was the “revenue bow tie”—a full-funnel diagnostic view.

At each stage, measure:

  • Volume
  • Conversion rate
  • Time between stages
  • Average deal size

Then layer in behavior:

  • What are top performers doing differently?
  • Is speed-to-lead affecting conversion?
  • Are multi-threaded deals closing faster?
  • Are certain content assets associated with higher win rates?

This is where enablement becomes powerful.

Instead of training on “best practices,” you train on proven winning behaviors inside your own organization.

Instead of guessing what might work, you reinforce what already does.

The Million-Dollar Lesson: Not All Pipeline Is Equal

In one of Sally’s favorite success stories, she conducted a comprehensive analysis of what “good deals” actually looked like.

She built a composite score factoring in:

  • Profitability
  • Speed to close
  • Customer fit
  • Internal team satisfaction

Then she compared those scores across acquisition channels.

The insight?

Organic demand generation consistently produced higher-quality, faster-closing, more profitable deals.

Outbound volume, on the other hand, produced lower project scores and more challenging customers.

At the time, some leaders believed increasing outbound activity would win the “math game.” But the data showed that more volume didn’t equal better revenue.

Instead, the company doubled down on:

  • SEO improvements.
  • Targeted content strategy.
  • Stronger partner enablement.
  • Better collateral for business development.

Within one quarter, those efforts generated over $1 million in qualified pipeline.

The takeaway isn’t “organic is always better.”

It’s this: Data should decide where effort goes—not opinion.

The Hidden Revenue Leak: Speed to Lead

Another recurring theme was speed-to-lead.

In one example, inbound leads weren’t even being routed correctly. Using historical conversion rates and average deal size, Sally quantified how much revenue was being lost simply due to slow or nonexistent follow-up.

This wasn’t a skills problem. It wasn’t a messaging problem.
It was operational.

After tightening routing, accountability, and response processes:

  • Conversion improved.
  • Pipeline clarity increased.
  • Revenue impact followed.

Sometimes the biggest growth lever isn’t a new initiative—it’s fixing a broken handoff.

Don’t Let AI Become a Distraction

With AI and sales tech evolving rapidly, it’s tempting to look for tool-based solutions.

But the principle remains the same: Start with the problem.

If proposals are weak:

  • Is it a skills gap?
  • A process inconsistency?
  • Lack of guardrails?
  • Or truly a tooling limitation?

Technology amplifies what already exists. If your process is unclear, AI will simply automate the confusion.

Enablement’s role isn’t to chase innovation for its own sake—it’s to evaluate tools through the lens of measurable revenue impact.

How Enablement Earns a Seat at the Table

Executives and boards think in numbers.

  • Revenue growth.
  • Forecast reliability.
  • Conversion efficiency.

If enablement leaders don’t understand how those numbers are constructed—or how behaviors influence them—they remain tactical.

But when enablement can say:

  • “Here’s the root cause.”
  • “Here’s the behavioral driver.”
  • “Here’s the projected revenue impact.”
  • “Here’s how we’ll measure success.”

The conversation changes.

  • You’re no longer delivering training.
  • You’re advising on revenue strategy.

The Bottom Line

Revenue enablement isn’t about content creation.
It isn’t about event planning.
It isn’t even about training.

At its highest level, it’s about bridging the gap between executive metrics and frontline behavior.

That bridge is built with data.
Own the data.
Follow the breadcrumbs.
Quantify the opportunity.
Design solutions around root cause.

When enablement does that, revenue doesn’t just improve.
It becomes predictable.

For more inspiring stories and actionable strategies from top executives, subscribe to the Future Focused CXOs podcast on your favorite streaming platform:

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