Every record on this page carries a grade: measured and source-backed, a verifiable work story, or a heritage name with no claim attached. Some studies are locked until a client signs off.
Evidence grades
Four grades. Never the same look.
Measured
Permission plus source-backed before and after numbers.
Work story
Permission plus verifiable scope. No metrics attached.
Heritage
Past work by the team behind Carcin. Name and industry only.
Locked
Case study in review. Ask to be notified when it opens.
Case 01 · Construction · Portland
Boss PDX: $0 to $1M in annual sales.
Measured · source-backed
$1M+
Annual Sales
200+
Estimates
50+
Page 1 Rankings
The situation
Boss PDX started at zero. No site, no rankings, no inbound leads. Work arrived by referral, which meant the pipeline moved when someone happened to mention the company at a barbecue and stalled when nobody did. A construction company with no digital presence is invisible at the exact moment a homeowner decides to hire, because that decision starts with a search.
What was done, in order
The site went up first as the hub every other channel would point back to, structured around the services actually sold and the metro actually served.
Google Business Profile verified, categorized, and filled out. Nothing local ranks until this exists.
Directories and citations, so the name, address and phone number agreed everywhere a search engine could find them.
SEO on service pages and location pages, aimed at the phrasing homeowners use rather than the phrasing contractors use.
Paid search, switched on once there were pages worth sending expensive clicks to.
A review engine, asking every finished job for a review at the point where the customer is happiest.
Email to the existing list, for repeat work and seasonal service.
What compounded
Rankings fed estimate requests. Reviews fed rankings and lifted the close rate on the estimates that came in. Paid search covered the gap while organic matured, then got narrowed as organic took over the terms it had been renting. None of those channels would have produced much alone. Deployed in that order, each one made the next one cheaper. The record for the engagement: 200+ estimate requests, 50+ page 1 rankings, and $1M+ in annual sales.
Case 02 · DTC ecommerce · National
Teton Gravity Research: 500% sales increase.
Measured · source-backed
500%
Sales Increase
7x
ROAS
10x
Email List Growth
The situation
An audience that already existed, and revenue that did not track it. The attention was real and the store underneath it was leaking: a checkout and catalog that made buying harder than it needed to be, paid media buying the same visitor twice, and almost no owned audience to sell to a second time. Every dollar of growth had to be re-bought from an ad platform.
What was done, in order
Platform migration first. For an ecommerce business the store is the hub, and fixing the catalog and checkout before spending on traffic is the difference between compounding and pouring.
Paid media restructured around what the new store could actually track, rather than the campaign structure it had inherited.
Email lifecycle flows: welcome, abandoned cart, post-purchase, win-back. The list stops being a newsletter and starts being revenue.
Retargeting, switched on once there was enough clean pixel data for it to mean anything.
An affiliate program last, because affiliates send traffic to a store and a store that does not convert wastes them.
What compounded
The owned audience is the compounding asset here. Growing the email list 10x meant a growing share of every launch was sold to people who cost nothing to reach again, which took the pressure off paid and let the paid budget chase new customers instead of re-buying old ones. That is what a 7x return on ad spend looks like from the inside. Sales grew 500% over the engagement.
Case 03 · B2B SaaS · Portland
LeadsRx: 300% more demo requests.
Measured · source-backed
300%
Demo Requests
50+
Page 1 Rankings
100+
Inbound Prospects
The situation
Marketing attribution software, sold to a technical buyer, in a category where every competitor bids on the same handful of keywords. That buyer researches for a long time before speaking to a salesperson, and reads documentation before reading a brochure. Paid search alone in that category means renting attention at auction prices against better funded competitors, forever.
What was done, in order
An SEO content engine built against the questions buyers actually type, not the product features the company wanted to talk about.
Documentation treated as a growth surface. Technical buyers arrive through docs, and docs that are indexable rank on the long tail nothing else reaches.
App marketplace listings, placed where this buyer already shops for integrations rather than where the company wished they shopped.
LinkedIn, aimed at the roles who own the budget for attribution.
Retargeting across a research cycle long enough that a single visit was never going to close anything.
What compounded
Organic search became the primary growth channel, and it is the one that keeps working after the spend stops. Every article and doc page added to the surface area, the long tail pulled in prospects no keyword auction was serving, and retargeting held attention across a research cycle measured in months. The record for the engagement: 50+ page 1 rankings, 100+ inbound prospects, and 300% more demo requests.
In review
Locked. The material exists. Permission does not, yet.
Eight engagements the team behind Carcin has run. Each one has a real client and a real scope. None has a published number, because none has cleared permission and review. Ask to be notified when one opens.
Heritage
137 businesses. 13 years. Not Carcin customers.
Past work by the team behind Carcin. Over 13 years the team ran growth for 1,000+ businesses, including the ones below. They are not Carcin customers and these are not Carcin results. We distilled all of it into Carcin.
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Questions
The obvious objections, answered straight.
01Why three grades of evidence?
Because not every engagement has the same proof behind it. A measured study has permission and source-backed numbers. A work story has permission and a verifiable scope, without a number attached. A heritage record has a name and an industry and nothing more. Showing them differently is more honest than showing them the same.
02Why are some case studies locked?
Because the material exists but permission does not yet. The team behind Carcin ran these engagements. Publishing the story requires the client's sign off, and that has not happened for every one. A locked card says so plainly instead of pretending the study is not there.
03Are these Carcin customers?
No. Every record on this page, measured, locked, or heritage, is past work by the team behind Carcin, not by Carcin itself. The measured studies are the team's past work too. Nothing here describes Carcin's own customer base.
04How does a locked case study unlock?
The client gives permission to publish, then the copy goes through legal and factual review. Only after both steps does a card move from locked to a work story or a measured study.
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