Lifecycle automation built around your product’s own signals
Generic marketing automation sends the same drip to everyone who fills a form. SaaS doesn’t work that way. A user who created a workspace, invited two teammates, and hit the core feature three times is nothing like one who signed up yesterday and never logged back in. We build the lifecycle, scoring, and routing that treat those two users differently — and trigger the right follow-up, score change, or sales action automatically. The output isn’t more emails. It’s a system that reads what people do inside your product and responds to it.
Why SaaS funnels break between signup and revenue
Most SaaS teams we talk to can point to the leak even if they can’t quantify it. Trials start and stall. Free users hover for weeks without converting. A hot account downgrades because of a failed card and nobody notices for a full billing cycle. The revenue was in the funnel, and it disappeared in the gaps.
Those gaps exist because the pieces were never joined: the product fires events nobody acts on, the CRM has lifecycle stages that don’t match reality, and the email tool runs sequences that ignore billing status entirely. Fixing it is rarely about buying another tool — it’s about making the ones you already have talk to each other. That’s the work.
Scoring leads with product usage, not just form fills
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A lead score that only counts page views and email opens will rank a tire-kicker above a product-qualified lead who’s been active for ten days. We build scoring models that combine firmographic fit (ICP, company size, role, industry) with behavioral and product-usage signals — the features touched, whether activation milestones were hit, team invites sent, and integrations installed.
The same model defines your PQL: the point at which a free or trial user has done enough inside the product that a sales conversation actually helps instead of annoys. Once that threshold exists, routing gets simpler — PQLs go to an account executive, everyone else stays in automated nurture until they qualify.
The integrations that make the system honest
Lifecycle automation is only as trustworthy as the data feeding it. Before we design a single workflow, we map what’s actually firing: product events through Segment or your own backend, billing events from Stripe, and identity resolution so the same person isn’t counted twice. If the activation event never reaches the marketing platform, the workflow built on top of it is fiction.
So a real chunk of the engagement is plumbing — webhooks, CDP configuration, custom CRM properties, and deduplication rules that keep contact records clean. It’s unglamorous, and it’s the reason the journeys we build actually fire on the right person at the right moment instead of spraying everyone.
Routing that fits your motion: self-serve, sales-led, or hybrid
A pure PLG company and an enterprise sales-led team need opposite things from routing. We design lead routing around how you actually sell — round-robin for an inside team, ICP-based assignment for named accounts, territory rules where they matter. Lifecycle stages in the CRM get rebuilt so they describe a real state change (trial → activated → PQL → demo → closed-won → expanded → churned) rather than a vague guess.
For hybrid motions we handle the handoff carefully: a self-serve user who suddenly invites nine colleagues should trigger an expansion conversation, not another onboarding email. That handoff is where a surprising amount of SaaS revenue hides.
Billing-triggered flows most teams forget
How we helped a Pakistani business achieve measurable results.
The moments around money are where automation earns its keep. Failed payments, downgrades, cancellations, and renewals are all signals — and each has a natural response: a dunning sequence with an easy card-update link, a save offer before the cancellation completes, an expansion prompt when usage outgrows the plan, a win-back campaign thirty days after churn.
These flows are specific to subscription businesses, and they’re usually the highest-ROI thing we build because they recover revenue that was already earned and nearly lost. We tie them to Stripe or your billing system directly so they fire on the real event, not a delayed CSV export.
What we measure, and what we ignore
We report on SaaS metrics, not marketing vanity. Trial-to-paid conversion rate, activation rate, time-to-value, sales cycle length, and net revenue retention are the numbers that tell you whether the system is working. Open rate on a single email usually isn’t.
Where it helps, we assemble a Looker Studio dashboard that pulls trial and billing data alongside CRM and product analytics, so you can review the whole funnel in one place instead of tab-switching between Amplitude, HubSpot, and Stripe every Monday morning.
If your SaaS funnel is busy but the trial-to-paid math isn’t moving, the problem is almost always in the connections between your tools, not the channels themselves. Tell us what your product is and where revenue is stalling, and we’ll scope the build — start with a strategy call or compare it against our broader marketing automation and CRM services.