In Tempo: October changelog

Nov 10, 2022
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Maggie Lin
Product Marketing
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It's getting colder, the leaves are changing, and it's time for our October edition of In Tempo! While we continued a steady drumbeat of shipping features, the team also traveled to San Diego for GraphQL Summit and overseas to Dublin, Ireland for SaaStock. We met hundreds of folks in person, met with some of our amazing customers, and had great conversations on all things consumption pricing.

What's new

Dive into event data with our events explorer

This feature enables you to easily view raw events as they enter Metronome, so you can get a pulse on event trends and volume, and analyze event data. Use cases include finding events for a specific customer or ingest alias, seeing events that matched a billable metric, looking up a transaction ID, finding duplicate events, and visualizing your event volume in a given period. You can find the events explorer under the Developers section in the Metronome app.

screenshot of events explorer
Events explorer: example use case of using the explorer to troubleshoot a transaction.

Use Metronome as your pricing source of truth with our new API endpoints

We’ve launched three new endpoints for plan details, plan charges, and customer-specific price adjustments, so your team can pull pricing and packaging data directly from Metronome.

  • Get plan details returns high-level plan details including plan metadata, plan minimums, and recurring credit grant information. See documentation here.
  • List plan charges fetches a list of charges for a specific plan. This includes fixed, usage-based, and composite charges as well as ramps, tiers, and pagination. See documentation here.
  • Get customer plan adjustments pulls all price adjustments for a customer plan. This includes percentage-based and fixed amount increases or decreases as well as price and quantity overrides. See documentation here.

Fixes and improvements

APIs:

  • Updated Postman collection. Metronome customers who fork our Postman collection will now get the latest version of our API which includes Alerts. See our Postman documentation if you’re interested in using the collection.

Business model support:

  • Unique aggregation is now generally available. Unique aggregation is defined as the count of distinct values of a given property for all events that match the filter. See our documentation here that also explains how we calculate unique values.
  • Grant product-specific credits for one or multiple products. If you’re already utilizing credit grants with Metronome and are interested in implementing product-specific credits, reach out to your Growth representative who can help walk through it.
  • Add composite charges to a plan. These charges are calculated as a percentage of specific line items. One common customer use case is using composite charges to model Premium Support fees that are a percentage of spend across a distinct set of products.

Infrastructure:

  • Continued to ship improvements to our aggregators to enable faster usage and cost queries. We also migrated to our new scalable data platform. Our events explorer is one of the features powered by this new data platform.

Get in touch

Enjoying our changelog? Have feedback on how we can improve it? We’d love to hear from you! If you’re interested in learning more about these features, you can 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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