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# Building your P0 metrics
- URL: https://www.revenueoperationsalliance.com/building-your-p0-metrics/
- Published: 2026-10-16T12:05:47.000Z
- Updated: 2026-10-16T12:22:05.000Z
- Description: Most GTM teams build territories and scoring on stand-in numbers like total headcount. Join Sumble CEO Anthony Goldbloom live on December 8 to find your P0 metric, the one account attribute that predicts deal size.
- Author: Revenue Operations Alliance
- Tags: revenue, Revenue Operations Alliance, P0 metrics, ICP, RevOps strategy

Every go-to-market motion has one attribute that matters more than all the rest.

Know it for every account in your TAM and your territories, scoring and spending all fall into place. That’s your P0 metric.

For a global HR platform, it might be employee count by country. For a sales engagement tool, it’s the number of outbound SDRs. And for a security vendor? It could be how many engineers work on cybersecurity.

Yet most tech companies still build their territories, scoring models, and capacity plans on out-of-date proxies like total LinkedIn headcount or broad industry tags. Not because those proxies are any good, but because the real number is hard to measure.

Join us and Anthony Goldbloom, co-founder and CEO of Sumble (and co-founder of Kaggle), live on **December 8** to find out how to rebuild your RevOps engine around the metric that actually predicts deal size. 

Drawing on hundreds of forward-deployed engineering engagements, he’ll show you how the best GTM teams close the gap between noisy proxies and the real thing.

## Why attend?

Pipeline coverage looks healthy, but win rates don’t. Sound familiar? 

The answer often sits in the data your GTM is built on. This session tackles three problems you probably know well:

- You’re aiming at a stand-in number. Your TAM, tiers, and territories are sized on headcount and industry codes, not the attribute that drives deal size.
- “Who to target” and “when to reach out” never meet. Fit scores and intent signals live in separate systems, so your reps get lists without timing and alerts without context.
- Your reps don’t trust scores they can’t trace. If sellers can’t see why an account ranks highly, they go with their gut, and your model gathers dust.

## You’ll walk away with...  

### A clear definition of your P0 metric

Pin down the one account-level attribute that best predicts deal size and pipeline for your business (spoiler: it isn’t total headcount).

### An honest view of where you are today

See how other tech GTM teams have tried to measure their P0 metric and how close their proxies really get.

### A path from proxy to ground truth

Learn the data science approaches that close the gap so your territories, scoring, and spending all point at the same number.

## Meet your speaker

Anthony Goldbloom, Co-Founder & CEO, Sumble

Anthony’s the co-founder and CEO of Sumble, the AI-native data platform with the deepest insights on your TAM. Before Sumble, he co-founded Kaggle, the world’s largest data science community, which Google acquired in 2017\. Today, GTM teams at Snowflake, Databricks, Elastic, Figma, Vercel, and more trust Sumble.

![](https://storage.ghost.io/c/62/19/6219f8f5-5d35-43bc-82c3-ce0aeb6b2cc9/content/images/2026/10/1690467780023--1-.jpeg)

Rebuilding territories for next year? Trying to get your reps to trust your scoring model? Either way, this session will help you find the number your GTM should be built around.

It’s live, so bring your questions for the Q&A.