Real-time usage insights with Metronome Alerts

Aug 2, 2022
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0 MIN READ
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Maggie Lin
Product Marketing
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Businesses have more data available than ever before, but making that data actionable is challenging for businesses of any size and stage. Usage-based companies have the added complexity of connecting product usage with customer spend from large datasets.

Teams are eager to access this information to power go-to-market motions, but producing timely spend insights requires significant engineering effort and time that most teams aren’t resourced for.

Introducing Alerts

With Alerts, you can now integrate customer spend signals into your go-to-market efforts. We make it easy to set up usage-based spend notifications without any engineering effort. Our customers have quickly gotten up and running with Alerts—Metronome is already powering spend alerts for millions of end-customers.

Give product and engineering teams real-time spend data to trigger workflows

  • Gate product access for self-serve customers when they run out of credits or reach a spend threshold.
  • Drive customer upgrades with in-app spend notifications.

Enable go-to-market teams to convert customers and identify upsell opportunities

  • Increase conversions by setting up Alerts to trigger sales or automated marketing outreach before a trial ends.
  • Run proactive upsells by giving sales and success teams real-time spend notifications in the systems they already use, such as Slack and Salesforce.

Improve customer experience by helping customers better manage their spend

  • Give customers more visibility into spend by letting them create and manage alerts in your app.

Get started with Alerts

Alerts are designed to be flexible and can be applied to a specific customer, customers on specific plans, or all customers. For businesses with credit-based pricing models, you can also set up credit depletion and credit threshold alerts.

If you’re interested in learning more about Metronome, reach out to us here. For existing customers, reach out to your Growth manager who can share more about Alerts implementation.

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)

4Ă— 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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