How Lemonet Turned Disconnected Funnels into a PLG-Ready Revenue Engine on Attio

About

Lemonet is a link-building SaaS company that helps brands get discovered, trusted, and recommended in search and AI. They’re evolving from a service-heavy link-building business into an operating system for building, measuring, and scaling off-page authority — the signals that determine whether a brand gets seen, cited, and chosen online.

Industry

B2B SaaS / MarTech

Headquarters

Belfast, United Kingdom

Challenges

Before the project, Lemonet’s go-to-market lived across disconnected tools with no consistent lifecycle model or shared view of account health. Product signals, outbound activity, and enrichment data all existed, but they couldn’t be combined into a single, decision-grade picture of where each account stood or what should happen next.

Go-to-market activity was spread across tools like Perspective, Clay, HeyReach, and the product itself, with no unified architecture.
There was no shared lifecycle model or unified scoring to describe where a lead, customer, or workspace sat in the journey.
Product events (signups, orders, cancellations, workspace activity) were not tied back to a single source of truth in the CRM.
Leadership could not reliably answer basic questions such as which accounts to prioritize this week, which workspaces showed real intent, or where churn risk was emerging.

Needs & Objectives

Lemonet didn’t just need better reports or more enrichment. They needed Attio to become the backbone of their revenue model — for both today’s managed service and tomorrow’s PLG product.

Turn Attio into the single source of truth for companies, customers, people, users, and workspaces.
Define a clear company-level lifecycle with health fields that automations can reliably update and teams can trust.
Connect inbound, outbound, and product events into one architecture so follow-up is driven by real behaviour, not scattered checks.
Design a data model that supports the current service-heavy motion and the future PLG motion without needing to be rebuilt later.
Treat data architecture as a core product asset, not an afterthought behind campaigns and workflows.

Solution

Together we designed and implemented an Attio-based Revenue Engine that treats data architecture as the core product. Instead of storing contacts and deals in isolation, Attio now models accounts, people, and product behaviour in a way that directly supports PLG decisions.

Company + Customers model: a clean split between universal company facts (ICP fit, firmographics) and customer-only lifecycle and commercial fields, with standard views for Lifecycle, Commercials, and Product.
People, Users, and Workspaces: People handle identity and acquisition (“who this human is and how we met them”), while a dedicated User layer models product logins and behaviour, all linked to Workspaces for granular product value.
Company-level lifecycle and health: a single Customer Lifecycle Stage, supported by Usage Health, Churn Risk, and Account Health, becomes the canonical timeline for each account.
Event-driven workflows: inbound, outbound, and product events are normalized into an activity-style structure and connected via n8n, Clay, and Attio, so lead status and lifecycle stages move in response to real events.
Views for operators and leadership: standardized views and dashboards give marketing, sales, and customer teams a shared mental model of where each account sits and what should happen next.

Results

Attio became the single source of truth for Lemonet’s accounts, people, and product workspaces, with a clear split between Company, Customers, People, Users, and Workspaces.
Lead, customer, and product journeys are now described by explicit statuses (Lead Status, Customer Lifecycle Stage, Usage Health, Churn Risk, Account Health) that automations can reliably update and teams can trust.
Inbound, outbound, and product events now land in a shared architecture, making it possible to prioritize follow-up based on real behaviour instead of scattered spreadsheets and one-off checks.
Leadership now shares a concrete mental model of how Lemonet will graduate from a services-heavy motion to PLG, with Attio structured to support both models instead of being retrofitted later.

From Fragmented Funnels to a System-First PLG Revenue Engine: Lemonet's Broader Lesson

Lemonet’s story isn’t about adding another outbound or enrichment tool. It’s about treating revenue data as a product, then using Attio to turn that product into a reliable decision engine for both today’s managed service and tomorrow’s PLG motion.

Before this work, the company was running strong campaigns on top of a fragile foundation: Perspective captured leads, Clay enriched prospects, HeyReach ran outbound, and the product generated rich activity data — but none of it added up to a coherent picture. Simple questions like “which accounts should we prioritize this week?” or “which free workspaces show real intent?” required manual digging across tools.

For B2B SaaS teams moving toward PLG, the lesson is simple:

Fragmented funnels hide value — every unaligned tool adds friction between signals and action.
Without a shared lifecycle and health model, automation is guesswork, not strategy.
Investing early in a PLG-ready data model on Attio makes it possible to scale from services to self-serve without rebuilding the CRM every time the motion changes.

By designing the data model first and then wiring events, enrichment, and outbound into it, Lemonet turned Attio into a strategic asset: every touchpoint now lands in a single architecture, lifecycle and health fields move with real behaviour, and leadership can steer the shift to PLG based on the same view of reality.

Let's Talk

Recognize parts of Lemonet’s story in your own B2B SaaS business?

If you are running a SaaS motion — blending inbound, outbound, and product signals, or shifting from a services‑heavy model toward PLG — from disconnected tools, scattered spreadsheets, and ad‑hoc checks across the funnel, it is a sign that you have a system design problem, not a tooling one.

Novrith designs and implements Revenue Engines on platforms like Attio that turn fragmented funnels into decision‑ready systems: unified data models across companies, people, users, and workspaces; lifecycle and health fields that automations can trust; and event‑driven workflows that surface which accounts deserve attention next.

Let’s talk about what a similar system‑first Revenue Engine for your SaaS business could look like.