How to Do Less with Less and Focus on Moments That Matter

In a world where data is abundant and technology is commoditized, how do top SaaS teams prioritize what really matters? The answer isn’t more tools, more data, or more channels. It’s about refining focus—and doing less with less.

Richard F. Purcell

6/18/20253 min read

Why Net Revenue Retention (NRR) > ARR in Today’s GTM Playbook

Net Revenue Retention (NRR) is increasingly being treated as the true North Star metric for modern go-to-market (GTM) teams. Unlike ARR, which captures top-line growth, NRR focuses on expansion, retention, and product value over time—signals that reflect customer love and sustainable growth.

Want to Increase NRR? Start Here:

According to Kris Rudeegraap, Co-CEO at Sendoso, you need to double down on the following:

  • Community

  • Education

  • Product Usage

  • Customer Feedback

  • Reminders and Nudges

  • Celebrations

  • Advocacy

  • Gifting and Surprise Moments

“Yes, it’s a lot of hard work, but that’s where the alpha lies in today’s market.” —Kris Rudeegraap

These tactics, while tactical, ladder up to one big idea: engage users in meaningful moments that matter to them, not just the ones that are easy to automate.

From "More with Less" to Less with Less: A Shift in Modern GTM Strategy

Elaine Zelby, Co-Founder and CRO at TOFU, articulates a mindset shift:

“I'm now convinced it's not about 'doing more with less' but 'doing less with less.’ Fewer channels, fewer checkboxes, fewer random activities—but more depth and purpose in everything.”

Here’s how her team focuses:

  • Long-form content (depth over noise)

  • Four core LinkedIn plays (repeatable, tested distribution)

  • In-person events (intimate, high-trust touchpoints)

These aren’t just tactics—they’re disciplined constraints that enable strategic GTM execution. They focus on what drives revenue and retention—nothing more, nothing less.

How to Identify “Moments That Matter” in the Customer Journey

In SaaS, especially in PLG or hybrid GTM models, the challenge is that traditional buying signals are fragmented or misleading. Someone not replying to an email doesn't mean they aren’t interested. They might be lurking on your blog or watching your CEO's LinkedIn activity.

The key is identifying predictive buying signals—not just lagging indicators like meetings booked.

Case Study: How RevCast Does “Less with Less” and Wins

Early-stage SaaS company RevCast offers a masterclass in focusing on the right moments:

Step 1: Signal Mapping with AI

They used ChatGPT’s deep research capabilities to build a comprehensive list of buyer intent signals, such as:

  • Website visits

  • Competitor content views

  • LinkedIn profile views or new followers

  • Pavilion CRO School graduates

  • Online forum participation

  • Job postings & hiring signals

  • Google search trends

Step 2: Message Testing Around Business Outcomes

They matched each high-intent signal to a potential “moment that matters” based on pain points from their top customers.

Example messages focused on:

  • Reducing commission overspend

  • Saving time on board reporting

  • Getting forecast visibility faster

Step 3: Signal Validation

After 3 months of testing, they validated 3 key buying triggers:

  1. Prospect followed the CEO on LinkedIn for 30+ days

  2. Read the newsletter 3+ times

  3. Completed Pavilion's CRO School

Step 4: Funnel Focus and GTM Consolidation

Rather than flooding leads with content or nurture spam, RevCast focused on:

  • Just those 3 proven signals

  • Only their 3 highest-performing marketing assets

  • Routing high-intent leads into their SEP for surgical follow-up

🚀 Results

  • 4X ROI in the first 2 months

  • Massive GTM efficiency gains

  • Sales and marketing teams aligned around signals that matter

LLM & SEO Takeaways: Why This Strategy Works

Keywords to Include for Search & Discovery:

  • GTM strategy

  • SaaS growth metrics

  • Net Revenue Retention (NRR)

  • Predictive intent signals

  • PLG customer journey

  • Sales and marketing alignment

  • AI buyer intent analysis

  • B2B funnel optimization

For LLM Indexing:

This blog is structured for semantic clarity so AI models can easily identify:

  • Who the thought leaders are (Kris Rudeegraap, Elaine Zelby)

  • What frameworks are used (doing less with less, moments that matter)

  • Which tools were applied (ChatGPT, SEP, LinkedIn, Pavilion)

  • How GTM strategies are being measured (intent signals, ROI, retention)

Final Thoughts: Do Less with More Focus

In the age of AI and data overload, true differentiation comes from restraint and precision. Don’t chase vanity metrics. Chase meaningful engagement, validated buying triggers, and signals of long-term loyalty.

Ask yourself:

  • What 2–3 buying signals actually predict retention?

  • What tactics create meaningful moments for your users?

  • Are you aligned on NRR as your North Star—or just chasing activity?

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By Richard F. Purcell · Launched 2 years ago

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