Free resource · Guide library
Industry marketing system guides
How the marketing stack actually differs by industry. Same principles, different pressures. Pick the guide that matches what you sell.
5
Industries we build for
10+
Years building across all of them
1
Methodology that travels
Start here
The principles travel. The pressures don’t.
A healthcare practice and a B2B SaaS company both need a clean data model, real lifecycle stages, and attribution they can trust. That part never changes. What changes is everything around it: the sales cycle length, the compliance constraints, the volume, the channels that actually work, and what "qualified" even means. Build the same generic stack for both and you will be wrong in opposite directions.
These guides cover the five industries we build for most. Each one names the trap that catches that industry specifically and the build that fixes it. Pick yours.
The five guides
Find your industry.
Long cycles, product signals
B2B SaaS
The trap: Treating every trial signup as an MQL, then wondering why sales ignores them. Volume hides the few accounts that actually matter.
The build: Product-qualified lead scoring tied to real activation milestones, account-based routing for strategic logos, and lifecycle stages that separate "tried it" from "ready to buy."
High volume, lifecycle-led
E-commerce
The trap: Pouring spend into acquisition while the retention and winback flows that drive real margin sit empty.
The build: Behavior-triggered lifecycle in Klaviyo or HubSpot, clean source attribution on every order, and segmentation that separates one-time buyers from your actual base.
Compliance-first, trust-led
Healthcare
The trap: Bolting marketing automation onto patient data without the compliance guardrails, or going so cautious that nothing gets automated at all.
The build: A data model that keeps regulated and marketing data cleanly separated, consent captured and respected at every step, and automation that runs inside the lines.
Relationship-led, referral-heavy
Professional services
The trap: Letting referral and relationship pipeline live in someone’s head and inbox, invisible to any system.
The build: A CRM that actually captures relationship and referral source, lightweight nurture that does not feel mass-produced, and reporting that credits the partners who drive the work.
Speed-led, lead-to-call
Local service businesses
The trap: Losing jobs to whoever called the customer back first, because speed-to-lead is a hope, not a system.
The build: Instant lead capture and routing (often GoHighLevel), automated speed-to-lead with text follow-up, and a simple pipeline that shows what is booked versus what is leaking.
What stays the same
Different industries. Same backbone.
Model first
Whatever you sell, we model the objects, properties, and relationships before touching a workflow. The data model is the foundation in every industry.
Lifecycle that means something
Stages designed around how your buyers actually move, not a generic template. What differs by industry is the definition, not the discipline.
Attribution you trust
Source and time-in-stage stamped automatically so your reporting holds up, whether you sell software or service calls.
How to use these
Read yours. Then check the one next to it.
Start with the guide that matches what you sell; the trap it names is probably one you already feel. But read the adjacent one too. The healthcare consent discipline sharpens a SaaS build. The local-service speed-to-lead obsession helps a professional-services firm that thinks it is "relationship-led" when it is really just slow. The best operators borrow across industries.
If you sell into more than one of these, or you are not sure which trap is costing you most, that is exactly what the audit is for.
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