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20Sales: What I Learned Scaling Datadog from $60M to $1BN in ARR | How to do Outbound in 2024 | Why Discounting is Dangerous and Contract Sizes are Misleading with Dan Fougere

20VC · Harry Stebbings — Dan Fougere · November 22, 2024 · Original

Most important take away

Sales greatness is a discipline, not a personality: build a repeatable qualification machine (MEDDIC), let sales leaders run to the front of the deal cycle, and never outsource pipeline generation — “asking someone else to do PG for you is like asking them to go to the gym for you.” Land small if the project is real, then earn your way up the org with intimate, hands-on customer work, and protect price by centralizing discounting at the CRO/CPO level rather than letting reps default to the maximum discount.

Summary

Actionable insights and career advice from Dan Fougere, the CRO who scaled Datadog from $60M to $1B ARR:

Career trajectory and money mindset

  • Fougere chose mechanical engineering after seeing engineering dominate a 1987 US News list of top-earning degrees, then stumbled into sales at PTC, the company that invented MEDDIC. The pattern: pick fields and companies that compound skills, not titles.
  • He did five startups, four with good outcomes; each time more of his comp came from equity. “The money is in the equity,” not the commission check.
  • He did not have life-changing wealth until age 50 (after Medallia and Datadog IPOs, plus a six-month lockup and Rule 10b5-1 plans). Being “fully formed” before the windfall protected him from the reality-distortion that hits younger founders/operators who get rich fast.
  • After Medallia he was told he could win the CRO job, moved his family to the Bay Area, then found out back-channel they’d already lined up someone else. He couldn’t quit because he lacked the ~$2M cash to exercise his options within the 90-day post-termination window. Lesson: understand your option mechanics before making big moves; secondaries (he used Forge) can be a lifeline.

Qualification and pipeline (MEDDIC)

  • Assume bullshit is present in every deal — human nature wants rose-colored glasses.
  • Use the three “whys”: Why do anything? Why you? Why now?
  • The real economic buyer is usually 1–2 levels above whoever the rep thinks it is.
  • “Magical moments” are the unit of progress: a cold prospect leaning in, a champion asking to bring their boss, or a “we need this now” trigger.

Outbound in 2024

  • Outbound still works; the bar is just higher. Differentiate by doing real research (LinkedIn, GitHub, Twitter) and leading with value (e.g., “Saw you’re implementing Redis — here’s a customer’s GitHub and dashboards”).
  • Don’t outsource pipeline generation. AEs and even sales leaders must own PG — it’s the gym you can’t pay someone else to attend.
  • The minimum-viable instrumentation Fougere managed to: one new qualified pipeline opportunity per week and one (enterprise) or two (SMB) new-business meetings per week. Hit those and you’ll make your number.

Land and expand

  • Datadog couldn’t sell to CIOs/CTOs in 2017 — they’d just bought AppDynamics/Splunk/Dynatrace. So Datadog sold to the practitioners actually implementing cloud, built groundswell, and earned its way up.
  • The Capital One story: a $600 ARR account on the verge of rolling out their first production cloud app. The team got slacked into a Sunday-night moment when a competitor’s dashboard failed; Datadog was working. That intimacy produced their first $1.4M enterprise deal six months in.
  • Heuristic: don’t dismiss small entry deals if the underlying project is real. Datadog’s enterprise minimum was ~$10K ARR.
  • Medallia was the opposite extreme — a category-creation sale required prospecting CEOs/CFOs at Verizon, Toys R Us, Capital One, Marriott directly because the buyer had to change how they did business.

The demo

  • Do discovery first, then tell a story where the customer sees themselves as the protagonist (“Joe told me X led to downtime — here’s how you’d fix it in your environment”).
  • Don’t “show up and throw up” — throwing spaghetti at the wall hoping something sticks is the hallmark of reps who can’t sell.
  • David Schneider’s “save money, make money, stay out of prison” describes corporate motivations; personal motivations (a bonus tied to SOC compliance by Dec 15) drive magical moments. Get off Zoom and go meet people in person — humans don’t change, only the technology does.

Building the playbook

  • Founders rarely build the real playbook. Olivier Pomel built the initial PLG motion at Datadog (marketing → online demo → credit card → call), which is great for getting started but not for scaling to billions. That requires a sales leader.
  • The playbook chronologically covers: ICP, outbound message + objection handling, discovery format and exit criteria, demo structure and exit criteria, validation, then close.
  • On hiring a CRO pre-product: Fougere disagrees with Chad Peets. A real CRO won’t go to a zero-revenue company — he went to Datadog at $60M growing 100% YoY. Early-career sales leaders will take the risk; veterans won’t “chew glass” twice.

Discounting

  • Salespeople left to their own devices peg max discount 100% of the time.
  • Keep discount authority at CRO/CPO level. Friction from reps having to come to leadership is the feature — you want reps resisting the discount with the customer, not jamming the CRO.
  • Discounts ratchet up over time in consumption businesses (a small discount at small spend becomes a big expectation at 10x spend). Hold the line; protect unit price.
  • Don’t trade economics for non-economic support like logo references.

Customer success comp

  • At Datadog, AEs had four months after a new logo to expand; then accounts (even Airbnb, Zendesk pre-fame) flipped to non-commissioned CS. The consumption flywheel meant CAC was incredible. Works in a one-product world; less obvious in multi-product or competitive cycles.
  • For enterprise, CS is more like implementation/support; for commercial, it’s a softer sales motion. Design comp around the actual job.

Sales culture and management

  • Fougere’s day-one speech to the Datadog team: “We will have a legendary sales team making life-changing money, being best in class and having fun. You will learn more here than anywhere else. You will never have to look for a job again because the halo of our success will be over your head for the rest of your career.” He also committed publicly to $120M, then $240M, then the most successful IPO in NY history — a “burn the ships” move.
  • Culture fails when leaders tolerate under-performers, yell at the scoreboard, and aren’t in the boat with the team.
  • “Fire fast, hire slow.” If your gut says wrong hire, start a documented PIP. Most don’t recover; a few do.
  • When teams miss, diagnose: product, market, region, or person? If financial pressure is the issue, advance some commission rather than discounting harder.

Hiring reps

  • Stop “moneyball before moneyball” — don’t pick reps on jawline/spouse aesthetics. Reps come in all shapes and sizes.
  • For technical sales (Datadog), Fougere asks about highest level of math, career trajectory, and decision-making patterns to gauge whether they can hold a technical conversation.
  • Look for discipline: fitness is one tell; sticking through hard times at a previous startup is another. Avoid “bouncers” — reps who jump every 12–18 months.
  • Take-home: have candidates sell your company in a 3-hour exercise and present back. Less time = poor quality; more time = too slow.
  • Counterintuitive lesson from the last year: junior reps with strong leadership and playbooks can close $2M+ first deals. CAC math improves dramatically with great enablement of junior talent.

AI in sales

  • Today: better research, sharper prospecting emails, faster proposals — like the productivity step-change when Microsoft Office bundled spreadsheets, email, and word processing.
  • Long term: even AI researchers were wrong about what AI would automate (truck driving vs. creating amazing art). Use it to be better at current tasks rather than betting on full automation.

For a new sales leader on day one

  • Map week-1, month-1, 90-day, 6-month, and 1-year wins (hires, deals, instrumentation, messaging, efficiency). Align with the CEO. Do only those things.

Underrated hire: Sean Walters — followed Fougere through BMC, Medallia, and Datadog; consistently a top rep and adaptable leader in hostile environments.

Chapter Summaries

  • From engineering to sales: Why Fougere chose engineering for income, ended up at PTC (birthplace of MEDDIC), and absorbed sales DNA by accident.
  • Building a qualification machine: MEDDIC, the three “whys,” and assuming the deal is bullshit until proven otherwise. The real economic buyer is 1–2 levels above where you think.
  • Earning your way up vs. starting at the top: Datadog had to sell to practitioners in 2017; Medallia had to cold-call CEOs because it was a behavior-change sale.
  • The Capital One story: How a $600 ARR account became Datadog’s first $1.4M enterprise deal through Sunday-night Slack-level intimacy with the customer.
  • Outbound in 2024: It still works if you’re the signal in the noise. AEs must own pipeline generation. Manage to opportunities added and new-business meetings, not generic activity.
  • Demo craft: Discovery first; make the customer the protagonist; never “show up and throw up.” Personal motivations beat corporate ones for creating urgency.
  • Playbook ownership: Founders create v0; real CROs build the chronological playbook with exit criteria at each stage. Pre-product CRO hires are usually unrealistic for proven operators.
  • The CRO job: Second hardest job in the company; quantifiable and exposed; rarely worth doing twice unless you haven’t had the big exit.
  • Money and life: Wealth came at 50 after two IPOs; the windfall distorts space-time but decays back to normal. Equity > commission.
  • PLG plus sales: Layer in world-class sales when the founder feels the pull (enterprise, multi-year, multi-product). If you wait until you’re thirsty, you’re already dehydrated.
  • Building sales culture: Vision, accountability, leaders in the boat. Day-one speech as a public stake in the ground.
  • Discounting: Centralize authority at CRO/CPO; reps will peg max discount; protect unit price especially in consumption models.
  • Customer testimonials and logos: Useful for credibility but don’t discount in exchange for them.
  • Hiring reps: Discipline, trajectory, technical depth where required, and a 3-hour take-home demo as a filter. Avoid bouncers.
  • Junior reps doing big deals: With strong leadership and playbooks, low-experience reps can close $2M+ deals — a CAC unlock.
  • Coaching out vs. firing: Fire fast on disasters; PIP and coach when behaviors are fixable; ask whether the leader is modeling the right behaviors.
  • The Medallia heartbreak: Moving his family to the Bay Area to win the CRO job, finding out via back-channel he wouldn’t get it, and being trapped by option exercise costs. Forge-driven secondaries let him exercise and move on to Datadog.
  • The Datadog match: David Atchuria connected him with Olivier and Olivier Pomel; one meeting, every whiteboard filled, three-and-a-half hours later he’d found “his people.”
  • AI in sales: Productivity multiplier today; unknown long-term impact — bet on getting better at current tasks.
  • Quick fire: Advice for a new sales leader (map and ship visible wins), and his top hire pick (Sean Walters for consistent execution and adaptability).