Announcing Metronome's $43M Series B led by NEA

Jan 31, 2024
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Kevin Liu & Scott Woody
Founders
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We’re thrilled to share that Metronome has raised over $43mm in Series B funding, led by NEA with enthusiastic participation from both a16z and General Catalyst. We’re also excited to welcome Hilarie Koplow-McAdams, former President of New Relic and Salesforce and an experienced public company board member, to our board. This funding round brings us to over $78mm raised to-date.

We first started Metronome in 2019 because we believed that SaaS companies shouldn’t have to compromise between building product and getting that product to market. We saw this problem throughout our careers: at our prior startups, at Dropbox, and at the hundreds of companies we spoke to when designing Metronome. Teams were hamstrung by their billing systems, despite heavy engineering and operations investment. We founded Metronome to offer a better option — a path to world-class billing without the effort.

This has clearly resonated with our customers. In the midst of an otherwise challenging year for startups, Metronome has been fortunate to see tremendous growth. We’ve built and deployed a billing system that is used today by the fastest-growing companies in SaaS, including Databricks, OpenAI, Anthropic, NVIDIA, and more. Startups are choosing Metronome to deliver a top-notch billing experience with minimal engineering overhead, and enterprises are partnering with us to accelerate their transition to cloud revenue and usage-based pricing.

With nearly all our Series A still in the bank, why raise even more capital? It’s simple: despite all of our progress in 2023, we have an even more ambitious roadmap for 2024. We’re making it easier to build and maintain our data pipeline integrations to free up even more engineering time. We’re simplifying getting data in and out of Metronome to dozens of business systems to better meet our users where they want to work. We’re overhauling our core data models to enable full automation of complex quote-to-cash workflows and greater pricing flexibility. And we’re expanding our support for reconciliation, revenue recognition, and audit use cases to make Metronome a world-class workflow tool for Finance teams.

We’re making these investments so that our customers won’t have to, and we want them to know that we’re in it for the long haul. This fundraise helps us accomplish both. We feel truly lucky to be on this journey together with our team and our customers, and we look forward to sharing many more milestones to come. And if you’re interested in joining us or trying out Metronome, please let us know. We can’t wait to have a conversation!

Kevin & Scott

Company Industry Outcome-Based Pricing Model Key Metrics for Pricing Notable Features
Salesforce (Agentforce) CRM / AI Customer Service

$2 per conversation handled by Agentforce (AI agent)

A conversation is defined as when a customer sends at least one message or selects at least one menu option or choice other than the End Chat button within a 24-hour period.

Number of support conversations handled by the AI agent

First major CRM to adopt a "semi"outcome-based pricing for AI; aligns cost with actual support volumes (clear ROI)

Addresses inefficiencies of idle licenses by charging only when value (a handled conversation) is delivered

Intercom (Fin AI) Customer Support Software

$0.99 per successful resolution by "Fin" AI chatbot - clients pay only when the bot successfully resolves a customer query

Fees accrue based on AI-solved issues

Count of support conversations resolved by the AI agent

Early adopter of AI outcome-based pricing in 2023

Lowers adoption risk by charging for resolved queries instead of a flat rate; combines usage- and value-based pricing to tie cost directly to support effectiveness.

Zendesk (AI Answer Bot) Customer Support

Per successful AI chatbot-handled resolution

No charge if the bot fails and a human must step in

Number of customer issues or tickets auto-resolved by the bot

Aimed at cost-conscious customers wary of paying for unproven AI

Aligns price with realized automation benefit; part of a broader industry shift from per-agent pricing to value-delivered pricing in support

Chargeflow Fintech (Chargeback Management)

Charges a fraction of recovered funds on chargebacks

Example: ~25% fee per successful chargeback recovery

No fees for chargebacks lost

Alert service charges $39 per prevented chargeback

Value/count of chargebacks recovered (disputes won) and chargebacks prevented (for prevention alerts)

4× ROI guarantee on recoveries

No contracts or monthly fees

Revenue comes only from successful outcomes; pricing directly aligns with merchant's regained revenue, meaning Chargeflow only profits when the client does (win-win model)

Riskified*

(source: https://www.chargeflow.io/blog/riskified-vs-forter)

E-commerce Fraud Prevention

remain fraud-free

PAYGO, 0.4% per transaction

Only charges for transactions it approves that

Number or value of approved transactions without fraud (i.e. successfully processed legitimate sales).

Provider shares financial risk of fraud with clients; pricing tied to outcome of increased safe sales

Incentivizes vendor to maintain high accuracy (they only profit when fraud is stopped)

Foster continuous improvement in their fraud-detection algorithms

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