Consulting · Data · GTM · Revenue

Clarity in the Chaos.

We engineer data pipelines, optimize GTM operations, and scale revenue engines with elegant precision.

Explore Services

Services

Six things we do well.

Pick one. Pick a few. Or hand us the whole stack.

Service 01

Analytics

Hook up the tracking. Trust the numbers. Stop arguing in meetings.

Service 02

Data Engineering

Pipelines that don't break at 2am. Models you can actually read.

Service 03

Business Intelligence

Dashboards your CEO will open. One source of truth, no asterisks.

Service 04

Content Optimization

Words that rank, retain, and quietly do the selling for you.

Service 05

GTM Operations

Marketing, sales, and CS finally pointing the same direction.

Service 06

Sales Funnel Optimization

Find the leak. Patch the leak. Watch the conversion go up.

Use cases

What this looks like in practice.

Marketing mix modeling

Where should your next $10K of marketing go?

Model what each channel really returns, then shift budget with confidence.

Start with a Diagnostic Sprint Book a call

Revenue returned per $1 spent, by channel

Google Search$4.10
Email$3.60
Meta ads$2.20
Local radio$1.40
Print mailers$0.80

Put the next $10K into search instead of mailers: about $33K more revenue.

Illustrative example

Omnichannel attribution

One customer. Eight touchpoints. One story.

See which channels actually create customers, not just clicks.

Start with a Diagnostic Sprint Book a call

Google search
“HVAC near me”
Instagram ad
Retargeted
Website visit
Pricing page
Email
Spring promo
Google review
Read 4 reviews
Phone call
Tracked number
Sales follow-up
HubSpot
Closed deal
$8,400 install

Stitched togetherAds, website, calls, CRM and point of sale

Illustrative example

AI on your own data

Ask your business data a question in plain English.

AI assistants grounded in your real numbers, not guesses.

Start with a Diagnostic Sprint Book a call

Which location had the best repeat-customer rate last quarter?

Winter Garden: 38% repeat, up 6 points. Ocoee is lowest at 21%, mostly first-time buyers from Meta ads.

38%W. Garden

30%Windermere

26%Clermont

21%Ocoee

Answered from your CRM, POS and ad data, with sources cited.

Illustrative example

Tracking and analytics

Every lead traced from click to closed.

Know which marketing brings in paying customers.

Start with a Diagnostic Sprint Book a call

Ad click
Site visit
Lead form or call
Sales pipeline
Revenue

Before: 3 tools, 3 different lead counts
Before: “Where did this customer come from?”
GA4 + Tag Manager set up right
After: one number everyone trusts
After: source on every deal, automatically
Call and form tracking into the CRM

Illustrative example

AI triage

Describe the mess. Get the cleanest next move.

Tell us what is stuck across data, analytics, or GTM. We will map it to the service most likely to create leverage first.

Data Engineering & BI

Raw data, refined into decisions.

Your website, CRM and ads finally agree.

We design the warehouse, model the metrics, and build the dashboards your leadership team will open every morning. Trustworthy numbers, surfaced with taste.

See a live BI build

Leads

412

▲ 18%

Cost / lead

$38

▼ 22%

Close rate

24%

▲ 3 pts

Revenue

$1.2M

▲ 11%

Revenue (solid) vs. marketing spend (dashed), last 10 months

GA4
HubSpot
Google Ads
Meta
QuickBooks

Illustrative example

Insights — new every Wednesday

Field notes from the studio.

Practical writing on data infrastructure, BI, and the operating systems behind compounding revenue.

Browse all insights

Illustrative template: a one-page cancellation memo: what we expect by week 2, what would make us stop, who decides, what it costs to keep going.

Technical go / no-go

Latest

Write the cancellation memo first

Most AI projects don’t fail loudly. They keep running because nobody wrote down what failure would look like. I learned that on my own workflow.

Ian Kessler · Nov 6, 2026 · 3 min read

Read article

Passing isn’t checked: 42% of committed code is AI-written, 96% of developers don’t fully trust it, 48% always verify it before committing (Sonar 2026 State of Code survey).

Technical go / no-go

42% of your code is AI-written. Who checked it?

A passing build tells you the code runs. It doesn’t tell you anyone checked what it does. Here’s the review checklist I use on AI-written changes, including the one that got past me.

Nov 4, 2026 · 5 min read

Read article

Illustrative: three questions sort every dashboard into keep, merge or retire: opened in the last 30 days, a named owner, a decision it changes.

GTM data you can trust

The dashboard nobody opened

Every dashboard refreshes on schedule, whether or not anyone looks. Before you migrate, rebuild or pay for another seat, find out which ones people actually use.

Oct 30, 2026 · 3 min read

Read article

Start here

A two-week audit before the big engagement.

The site already explains what Bottom Line Studio can do. What a buyer needs next is a low-risk first step: a focused diagnostic that turns messy data, funnel, and GTM questions into a prioritized action plan.

Audit the signal

Inventory analytics, CRM fields, content paths, and handoffs so the source of truth is visible.

Score the drag

Separate noisy symptoms from constraints that actually slow pipeline, conversion, and reporting.

Ship the plan

Leave with the highest-leverage fixes, sequencing, and measurement plan your team can execute.

What you leave with

Tracking map for every revenue-critical event

Funnel leak report ranked by impact and effort

90-day roadmap with owners, dashboards, and quick wins

Philosophy

Growth isn't a campaign. It's a habit you build into the system.

Good content gets noticed. A clean funnel turns it into revenue. Boring discipline keeps it going. We do all three so the number stops being a guess.

+38%

More qualified pipeline. Usually within two seasons.

−42%

Less time spent wrangling reports each week.

3.2×

Funnel conversion, after the leaks get patched.