We're on HubSpot, not Salesforce. Does that matter?

Not really. Most of the patterns work identically — HubSpot's workflow engine handles a lot of basic routing natively, and we layer custom logic where HubSpot ends. We've built RevOps automation for HubSpot, Salesforce, Pipedrive, and even Notion-as-CRM.

Do you work with usage-based / hybrid pricing models?

Yes. Usage-based billing is one of the trickier reconciliation problems and one we deal with often. The pattern is similar across Stripe Billing, Metronome, and Orb — meter ingestion + invoice generation + CRM sync, with drift monitoring.

Where does AI actually fit in our RevOps stack?

Honest answer: less than vendors want you to think. Lead enrichment and sentiment scoring are decent fits. AI SDR agents that auto-email at scale almost always backfire. We help SaaS teams pick the 2–3 AI use cases worth investing in and skip the rest.

Can you build this on top of our existing RevOps stack?

Yes. If your team already runs LeanData, Default, Distro, or built-in CRM routing — we extend rather than replace. Most engagements layer 10–20% custom logic on top of 80% off-the-shelf tools.

All industries

Use case · SaaS & B2B Software

RevOps automation for fast-growing SaaS teams.

Your CRM, billing system, product analytics, and support tool each hold a slice of the customer truth — and none of them agree. We build the orchestration layer that makes lead-to-cash, expansion, and retention one connected motion instead of four broken ones.

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$12,000 – $50,000Payback: 45–90 days typical

SaaS & B2B Software

Tell-tale signs

You're hitting the operational ceiling SaaS companies hit.

These show up around $5–50M ARR or 30–150 FTEs — when ARR is moving but RevOps headcount can't keep up:

Lead routing relies on tribal knowledge

When a new lead comes in, sales DMs marketing to ask "is this a duplicate? does this match our ICP? who's the AE?" The routing logic lives in someone's head, not your systems.

Product-qualified leads die in your pipeline

Free trial signups hit Stripe and Segment. But your CRM doesn't know which ones are activated, which are stuck, or which are ready for sales touch. PQLs get cold while reps work cold lists.

Churn signals show up in support, not in the CRM

A customer fires off 3 angry tickets on Tuesday. Their CSM doesn't know until QBR. By then, they've signed with your competitor.

Billing and revenue don't reconcile

Stripe says one MRR number. Chargebee says another. Your CRM has a third. Board meetings start with arguments about which number to trust.

Highest-ROI automations

What we ship most often for SaaS RevOps teams.

B2B SaaS has a tighter loop than most industries — small operational gaps compound fast. These are the automations that pay back inside 60 days.

Lead-to-account routing engine

Inbound lead enters CRM → matched against existing accounts → ICP-scored → routed to the right AE on the right team, with deduping and SLA tracking. Eliminates the 'who owns this lead' Slack thread forever.

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PQL scoring + activation alerts

Product usage events (logins, key-action milestones, team invites) stream into your CRM. Trial users that hit activation thresholds → AE alerted with a structured handoff payload. Convert PQLs while they're hot.

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Churn risk monitoring

Support ticket sentiment + product usage drops + NPS dips fire a composite churn score. CSMs alerted via Slack with the full context. Save deals before they're lost.

See related automations

Subscription billing reconciliation

Nightly sync between Stripe/Chargebee → CRM → finance system. Drift alerts when MRR figures diverge. Single source of truth for board reporting.

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Customer onboarding orchestration

Closed-Won deal → kickoff email + onboarding project board + welcome workshop calendar holds + Slack Connect channel + 30/60/90 milestone tracking. Lifts time-to-value, reduces early churn.

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Expansion opportunity surfacing

Usage thresholds, seat growth, feature adoption — all monitored against expansion playbook triggers. AEs get alerts the moment an account is ready for a price-tier conversation.

See related automations

Typical stack

The tools we usually see in this industry.

We integrate around what you run today — no platform swaps required. Don't see your tool? Ask.

Salesforce
HubSpot
Stripe
Chargebee
Recurly
Segment
Mixpanel
Amplitude
Intercom
Zendesk
Slack
n8n
Outreach
Apollo
Clearbit
Snowflake
BigQuery

Composite example

Series B SaaS — lead-to-account + PQL alerting cut sales cycle 32%.

The setup

$18M ARR Series B SaaS. Marketing pushed 800 MQLs/month into Salesforce. RevOps team of 1.5 FTE drowning. Lead routing logic lived in a 60-line Salesforce flow nobody understood, plus three Slack channels of tribal knowledge. PQLs from the free tier disappeared into the void.

What we did

1Audited the existing lead lifecycle — found 27% of MQLs were duplicates or out-of-ICP
2Built deterministic lead-to-account matching in n8n with a Clearbit enrichment layer
3Replaced the legacy flow with rule-based routing + SLA tracking + escalations to Slack
4Streamed Segment activation events into Salesforce as PQL signals
5Built AE Slack alerts for: PQL hit, account stuck >5 days, expansion threshold crossed

Composite of patterns we've seen across multiple SaaS engagements; not a single named client.

Outcome

MQL → SQL conversion: +38%
Average sales cycle: −32%
PQL → opportunity rate: +4×
RevOps time saved/week: 12 hrs

Pricing snapshot

$12,000 – $50,000

Payback: 45–90 days typical

Most SaaS engagements start with lead-to-account + PQL alerting as one project ($15k–$25k). Subscription reconciliation and churn monitoring usually come in phase 2.

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Free 30-min scoping call
Industry-specific scope
Source code + workflows you own
30 days post-launch tuning
Compliance-aware where relevant

Questions

Common questions for saas & b2b software.

We're on HubSpot, not Salesforce. Does that matter?: Not really. Most of the patterns work identically — HubSpot's workflow engine handles a lot of basic routing natively, and we layer custom logic where HubSpot ends. We've built RevOps automation for HubSpot, Salesforce, Pipedrive, and even Notion-as-CRM.
Do you work with usage-based / hybrid pricing models?: Yes. Usage-based billing is one of the trickier reconciliation problems and one we deal with often. The pattern is similar across Stripe Billing, Metronome, and Orb — meter ingestion + invoice generation + CRM sync, with drift monitoring.
Where does AI actually fit in our RevOps stack?: Honest answer: less than vendors want you to think. Lead enrichment and sentiment scoring are decent fits. AI SDR agents that auto-email at scale almost always backfire. We help SaaS teams pick the 2–3 AI use cases worth investing in and skip the rest.
Can you build this on top of our existing RevOps stack?: Yes. If your team already runs LeanData, Default, Distro, or built-in CRM routing — we extend rather than replace. Most engagements layer 10–20% custom logic on top of 80% off-the-shelf tools.

Other industries we serve