In Tempo: March changelog

Apr 11, 2023
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Maggie Lin
Product Marketing
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In the spirit of March Madness, our team took on March with focus, speed, and a winning attitude to ship some slam-dunk new features. This month's changelog is packed with exciting new releases including custom fields, expanded data export support, audit logs, quantity conversions, and more. 

What’s new 

Centralize and integrate data with custom fields 

We’re excited to introduce adding custom fields to Metronome entities such as customers, products, charges, and credit grants. This feature reinforces our ability to serve as the source of truth for usage, billing, and customer data. It also helps us power more integrations by making it easier to connect Metronome data to other systems. See our blog post and our docs to learn more. 

Create and manage custom fields in the Metronome UI or API. 

Send raw event data to your data warehouse 

We've expanded data export support to include sending raw ingested usage events to your data warehouse. This data can be used for custom analytics, auditing, and troubleshooting of event data. See our docs here to learn more and contact your Growth representative if you’re interested in getting started.

View comprehensive audit logs 

As part of our commitment to security, we’ve released our audit log functionality which tracks all actions that resulted in a change across your Metronome environments. This feature is currently available through our API and will be available in the UI soon. See our docs here for more information. 

Create billable metrics alerts when usage thresholds are met 

With this new alert type, get notified when customer usage exceeds a threshold for any defined billable metric. This is helpful to automatically discover increases in customer usage, whether to detect anomalies or identify upsell opportunities. See our docs here to learn more and contact your Growth representative if you’d like to implement this alert type. 

Create usage threshold alerts on billable metrics to identify upsell opportunities. 

Apply quantity conversion and rounding in the Metronome UI 

Customers now have the ability to divide a quantity derived from a customer’s billable metric usage. Instead of asking your data pipeline team to update their schema, you can now use this feature to perform unit conversions on data after it has been sent to Metronome.

Schedule plan edits to take effect in the future 

Prepare for upcoming product launches or pricing changes by scheduling plan edits to take effect on a specific date.

Choose when a plan edit should take effect.

Add one-time charges to invoices 

Customers can now add one-time charges to draft invoices before they have been finalized in Metronome. This enables finance stakeholders to create ad-hoc invoices for products that are offered without a pre-defined billing schedule. Examples are a fee for a project milestone reached, professional services hours, or to correct an invoice that undercharged the customer in a prior billing period due to an outage.

Easily add one-time charges to specific invoices.

Additional updates: 

  • Archive customers through the API and UI. See docs here
  • Hide zero quantity line items in embeddable dashboards. See our docs here if you’re interested in embedding a dashboard.
  • Added ‘plan_id’ and ‘plan_name’ to the following invoice endpoints: List invoices and Fetch invoice. See our docs here.
  • Updated Billing configuration to General settings in the UI, which has Integrations, Custom fields, and Pricing units nested within it.

Get in touch 

Enjoying our changelog? Have feedback on how we can improve it? We’d love to hear from you! To learn more about these features, get in touch with us here or reach out to your Growth representative.

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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