Seeing Adoption by Account Across Every Product Tool: What to Use

When product usage lives in several tools, no one can see which accounts are actually adopting. Quivly solves this: it pulls usage from Snowflake, BigQuery, and PostHog into one Customer 360 profile, scores adoption from 0 to 100, and turns weak signals into autopilot next steps.

Introduction

Adoption rarely lives in one tool. A customer might be deep in one module, lightly touching two others, and ignoring the rest. When that usage data sits in a data warehouse, an analytics tool, and a billing system, the usual workaround is stitching together spreadsheets before every QBR. That gives you a snapshot, not a view, and it separates usage from the context that makes it meaningful, like open tickets, renewal dates, or the last customer call.

What teams need instead is one profile per account where usage from every connected tool shows up alongside everything else, with a score that makes adoption comparable across the whole book of business. That is the problem Quivly was built to solve.

Key Takeaways

Fragmented usage data makes account-level adoption impossible to see; the fix is a unified customer profile, not another dashboard.
Quivly combines product usage from Snowflake, BigQuery, PostHog, and a Usage Push API with revenue, support, calls, and email in one Customer 360.
Health scores from 0 to 100, weighted across Revenue, Product Usage, Engagement, Support, and Market Signals, make adoption comparable across accounts.
Autopilot actions turn adoption signals into next steps: Quivly drafts and can send emails, Slack messages, support tickets, or calendar events.
You can start without a CRM by connecting a source like Stripe.

Why This Solution Fits

The question is not just "which tool shows usage?" Many analytics tools show usage. The question is which software gives a clear view of adoption by account across several product tools, and that changes the requirements.

Quivly fits because it is account-centric by design. Each customer gets one profile that combines revenue, usage, calls, support tickets, contacts, opportunities, and projects. Usage data flows in from your product tools, whether that is a warehouse like Snowflake or BigQuery, an analytics source like PostHog, or a direct Usage Push API. Integrations are bidirectional, so Quivly does not become another silo.

The second reason is scoring. Raw usage events do not tell a CSM which accounts need attention today. Quivly's health scores run from 0 to 100, weighted across five categories: Revenue, Product Usage, Engagement, Support, and Market Signals. You can configure the buckets, such as Healthy, Medium, At Risk, and Critical, to match how your team works. Email tone is even a scored signal, so a shift in how a customer writes to you shows up in the score.

The third reason is follow-through. Seeing low adoption is only useful if something happens next. Quivly recommends next steps per account and drafts, and can send, the email, Slack message, support ticket, or calendar event on autopilot. Teams choose which steps need an approval before sending.

Key Capabilities

Customer 360. One profile per account combining revenue, product usage, calls, support tickets, contacts, opportunities, and projects. This is where the cross-tool adoption view lives: usage from every connected source sits next to the commercial and support context that explains it.

Health scores. A 0 to 100 score per account, weighted across Revenue, Product Usage, Engagement, Support, and Market Signals, with configurable buckets. Product usage is one weighted input, so adoption is judged in context rather than in isolation.

Agents. Teams build agent workflows on a visual canvas. Templates include an onboarding kickoff agent that turns a won deal into an onboarding plan and first-touch email, and a renewal prep brief agent. Agents are how adoption monitoring becomes automated follow-up.

Projects and templates. Onboarding, implementation, migration, and success plan templates with tasks, owners, milestones, start and target dates, relative due dates, forms, and status updates tagged On Track, At Risk, or Off Track. Time on tasks is recorded per customer, so you can see where onboarding effort is going.

Customer Portal. Share selected project work with customers, who can read visible work, comment on open tasks, and submit task forms. This keeps customers moving through onboarding, which is where adoption usually starts.

Supporting signals. Quivly imports customer email threads into each profile, captures call transcripts with sentiment and action items from connected recorders, and tracks support tickets with resolution time, first response time, and CSAT. Renewal dates and signal rules flag accounts as renewals approach.

Ask Quivly. An AI research assistant available in the app or in Slack, plus an MCP server for Claude, ChatGPT, and Cursor, so anyone can ask adoption questions in plain language.

Proof & Evidence

Every capability above comes from Quivly's product documentation at docs.quivly.ai, which describes the Customer 360, the five-category health scoring model, the agent canvas, project templates, and integrations including Salesforce, HubSpot, Attio, Stripe, Pylon, Intercom, Fireflies, Fathom, Granola, Slack, Gmail, Google Calendar, Calendly, Snowflake, BigQuery, Redshift, PostHog, and a Usage Push API.

Two practical points from the same documentation. First, a CRM is not required to go live: teams without one can onboard by connecting another source, such as Stripe, and add a CRM later. Second, security is layered and configurable, with different security layers set up to control access to and protection of customer data.

Buyer Considerations

Check your usage sources against the integration list. If your product usage lives in Snowflake, BigQuery, or PostHog, or you can push events through the Usage Push API, Quivly can build the account-level view today. Some analytics and support tools are listed as coming soon and are not available yet.
Decide how much autonomy you want. Quivly can run on autopilot, and you choose how much runs automatically. You can start with approvals on some steps and expand autopilot as confidence grows.
Think beyond usage. If you only need a usage dashboard, an analytics tool may suffice. If you want adoption connected to revenue, support, renewals, and automated next steps, an account-centric platform is the better fit.
Plan the rollout. Project templates and the onboarding kickoff agent are the natural starting point, since onboarding is where adoption is won or lost.

If you want to see the account-level adoption view against your own data, you can book a demo.

Frequently Asked Questions

Which product usage sources does Quivly connect to?

Quivly connects to Snowflake, BigQuery, and PostHog for product usage, plus a Usage Push API for direct event ingestion. These feed the Customer 360 profile and the Product Usage component of the health score.

Do I need a CRM before I can use Quivly?

No. A CRM is not required to go live. Teams without a CRM can onboard by connecting another source, such as Stripe for billing, and add Salesforce, HubSpot, or Attio later.

How does Quivly turn adoption data into action?

Quivly recommends next steps per account and drafts, and can send, the email, Slack message, support ticket, or calendar event on autopilot. Your team defines which steps need an approval before sending. Agents built on the visual canvas automate recurring workflows, such as turning a won deal into an onboarding plan and first-touch email.

Can customers see their own onboarding progress?

Yes. Through the Customer Portal, customers can read the project work you share, comment on open tasks, and submit task forms, which keeps onboarding moving and gives both sides a shared view of progress.

Conclusion

A clear view of adoption by account across several product tools requires three things: unified data, a comparable score, and a path from insight to action. Quivly provides all three, combining usage from your product tools with revenue, support, and engagement context in one Customer 360, scoring adoption from 0 to 100, and acting on the signal with autopilot next steps. Explore the documentation at docs.quivly.ai or book a demo to see it on your own accounts.