When 58% of your pipeline sits in two deals

A strong-looking pipeline can hide fragile revenue. Here, 57 active deals total $3.8M TCV, yet 58% of value sits in two early-stage deals—a concentration that signals risk. By clarifying TCV vs ACV, inspecting the funnel stages, and enforcing a strict ideal customer profile (ICP), teams can reduce volatility and improve conversion.

Why the Platzi Learn sales pipeline looks risky?

A large top line can mask instability when value clusters too early in the funnel. The mix here is promising but fragile.

• 57 active deals with $3.8M TCV sound healthy, but value is over-concentrated in two early-stage deals.
• The funnel is wide at discovery yet clogged at list price with $2.2M, not yet in negotiation.
• Early-stage concentration creates near-term volatility, not reliable income.

What does the funnel distribution imply for near-term revenue?

Deals parked at list price suggest interest without commitment.

• Discovery phase shows high activity, but progress stalls before negotiation.
• $2.2M at list price indicates pricing interest without proven intent to close.
• Expect forecast swings until these deals advance to negotiation.

How do TCV vs ACV and funnel stages shape the forecast?

Clear financial definitions keep projections honest and actionable.

• TCV (Total Contract Value): the full contract amount (e.g., a two-year “sticker price”).
• ACV (Annual Contract Value): the yearly portion of that contract.
• Forecasts for 2026 lean on specific deal narratives: $550K for Q1 and ~$900K for Q2.

What do Claro and JLL expansions reveal?

Expansions rooted in usage prove value and lower risk.

• Claro (Colombia): burned a two-year allocation in three months, triggering a $600K expansion in procurement. Usage intensity validates utility.
• JLL: grew from a local Mexico deal to a regional Latin America project at $185K. Expansion signals cross-market fit.

How do reactivations validate product–market fit?

Right offer, right segment, renewed demand.

• Corona and Alianza Team were dormant on the core product.
• With Platzi Learn—better matched to scale and recurring needs—they reactivated immediately.
• Like adding breakfast to a restaurant: new offer fits a different routine and brings customers back.

Who fits the ideal customer profile and how to qualify deals?

A strict ICP improves pipeline quality and conversion.

• ICP definition: organizations with ≥300 learners, recurring training needs (e.g., onboarding, compliance), and where speed to knowledge impacts revenue.
• Reactivation tool: ICP focus helps revive mismatched accounts with the right product fit.
• Discipline matters: avoid small, one-off events that drain focus and don’t compound.

Which deals to decline or accept based on ICP?

Apply the checklist. Be consistent.

• Decline: tech startup with 50 employees seeking a one-off coding workshop. Fails volume and recurrence.
• Accept: regional bank training 500 branch managers on compliance. Meets volume, recurrence, and performance impact.

What remains the key risk to the forecast?

Concentration risk at the top of the plan.

• Q1 targets heavily rely on a few massive deals like iFood and Claro.
• Until list-price deals enter negotiation, expect forecast sensitivity.
• Next step: measure actual conversion via MRR, LTV, and CAC to validate efficient growth.

Have a similar pipeline challenge or an ICP test case you want feedback on? Share the scenario and criteria you’re using to qualify or disqualify deals.