Unwired Logic Sample Sales Blueprint
unwiredlogic.com/self-storage-sales-blueprint Redacted sample

Sample Sales Blueprint

This is a real Sales Blueprint, not a template. It is the one I ran on my own sales.

I sell technology consulting into self-storage operators. Same job most of you have, different product. So before I offered to map anyone else's sales process, I mapped mine. What follows is the short version: how it runs, where it was leaking, what I fixed, and in what order.

Yours will look different. The shape will not.

01How the sales runs today

Four layers. The split matters more than the tools.

Authority

My LinkedIn, the company page, the newsletter. Credibility and awareness. This is not machinery and it should not be automated. It is the part that makes a cold name recognise me.

The pool

One CRM as the single system of record. Every piece of state lives on the record. Nothing lives in a spreadsheet, nothing lives in someone's head, nothing lives inside an automation.

The engine

The unattended part. It fills the pool, enriches records, scores them for fit, and watches for buying signals. This runs whether I am at my desk or not.

The hunter

One ranked list a day. It drafts outreach and orders it by priority. I decide what goes out.

That last line is the whole design. Nothing auto-sends. Not one message in the system leaves without me reading it first. I will come back to why.

The spine

Every lead carries one status field: cold, warm, hot, or working. One field, four values, and precedence rules so two jobs can never disagree about what a lead is.

Four lanes hang off it. Cold is the warming machine. Keep-warm is known relationships on a clock. Revenge is dead deals reopened only when a real signal fires. Hunt is the handful of accounts I am working one to one.

Two resting states sit off to the side. Dormant means newsletter only, wake on a signal. Customer means won, and it leaves the engine.

Most sales processes I look at have no spine. They have five fields that all sort of mean stage, and no rule about which one wins. That is where the pipeline stops being trustworthy.

02Where it was leaking

How the sales runs, and where it leaked.

Unwired Logic, own pipeline. Red marks a finding, not a stage.

Sales funnel with diagnosed leak points A six-stage funnel narrowing from Acquire through Clean, Score, Signals and Outreach to Won, with four diagnosed leak points marked in red and a gate reading "drafted by machine, sent by a human". Acquire Fill the pool Clean Data hygiene Score Fit and priority Signals Watch for timing Outreach Three touches a day Won Supply was never the constraint Hundreds qualified. Three touches a day. Nine people contacted up to four times A field that could not represent reality. Cold: zero wins from ~300 touches Pre-committed review returned FAIL. Counted touches, not meetings Volume always rises. It tells you nothing. GATE Drafted by machine, sent by a human

This is the part of a Sales Blueprint people do not enjoy. It is also the part worth paying for.

The constraint was throughput, not supply.

I had thousands of operators in the database and a few hundred that qualified. I work three or four real touches a day. So more leads was never the answer - the entire job was making those few touches land on the right account at the right moment. I had been solving the wrong problem.

Cold outbound produced nothing, and I had to prove it.

I committed in advance to a four-week review with a pass mark set before I started. It came back FAIL. Zero conversations opened, zero calls booked, zero deals attributed, against roughly 250 to 300 touches at the expected pace. Every win I have ever had came warm - a relationship, a referral, or ad attribution.

The consequence was pre-committed and not renegotiable, which is the only reason I actually acted on it. Cold dropped to maintenance volume and the hours moved to warm manufacturing. I killed an entire LinkedIn messaging sequence I had built and liked.

The same person was being contacted four times.

A status field with three values could not tell the difference between "never contacted" and "contacted, invite expired, dropped off the list." So people who had already been approached looked like fresh targets. Nine of them in one batch, some contacted as many as four times since May.

That is not an automation failure. That is a data model that could not represent reality.

Notifications fired at accounts already being handled.

A daily digest was flagging deals as stale without first checking whether a follow-up was already booked. So the same account showed up as neglected every morning while a call sat in the calendar.

Four separate work sessions hit the same queue in one day.

No shared lock between them, and each one trusted the CRM's own done/pending flag as the full picture. It is not the full picture - it cannot distinguish "not done" from "I deliberately held this."

03What got fixed, in order

Order is the part most people get wrong. You cannot automate your way out of a process problem.

  1. 01

    Write the process down. Not the tool configuration. What actually happens from first contact to closed deal, including the parts that only exist in your head. This produced the four-layer split and the status spine. Everything after it was cheap because of it.

  2. 02

    Fix the data model. The duplicate-contact bug was unfixable at the automation layer and trivial at the field layer. One extra status value solved what months of patching had not.

  3. 03

    Put gates on the automations. Check whether an account is already handled before flagging it. Never write a state that means "in progress" until the thing has actually happened. Group notifications by company so one account produces one alert.

  4. 04

    And only now, automate. Research, scoring, drafting, monitoring. The grunt work.

  5. 05

    Instrument the outcome, not the activity. I was counting touches sent, which always goes up and tells you nothing. The metric that mattered was meetings booked and held, and I had no clean way to count them. Volume metrics feel like progress and hide failure.

04What to automate, and what to leave alone

Automate

Anything that reads.

Research, enrichment, fit scoring, signal monitoring, first drafts, data hygiene.

Do not automate

The send. Ever.

Every message in my system is drafted by a machine and sent by me.

AI is good at grunt work. It is bad at the thing that closes a deal, which is a person who knows the industry writing something worth reading. That is not caution, it is the reason the messages work.

The pitch you have heard is full automation. Set it up, walk away, wake up to a calendar full of meetings. I ran the honest version of that experiment on myself and wrote the failure down above.

05The stack

Deliberately boring. A CRM as the system of record, a connective layer between it and everything else, AI agents doing research and drafting, and scheduled jobs handling the routine work. Enrichment where the data gap justifies the cost, with a hard budget ceiling so it cannot quietly drain.

We buy proven tools and make them work. No custom build. If your instinct is to build from scratch, we are not the right fit and I would rather say so early.

The same principle runs the operator side of the business: see the self-storage integrations we build between a PMS and Zendesk, or the wider self-storage technology practice.

What you get

An hour of my time. A map of how your sales runs today. A written roadmap: what to fix, what to automate, in what order, on what stack.

It is free and the roadmap is yours whether or not you work with us. If it is a fit, we build it. If it is not, you have a plan you can hand to anyone.

Book your free Sales Blueprint

Or read the full offer: the free Sales Blueprint for self-storage vendors.

Aaron Farney, Director, Unwired Logic
Aaron Farney
Director, Unwired Logic

24 years in self-storage, now running sales into operators. LinkedIn

This sample is redacted. It shows the shape of a Sales Blueprint and the kind of finding it produces. It does not include scoring weights, detection logic, field structures, or client names.