Pipeline Impact Model

LeadCoverage
builds pipeline

Turn your addressable market into a pipeline number, and see what every dollar of go-to-market spend buys.

Your business & who you target
Start with your TAM
Records within your ICP — you own a name and email for everyone who can buy from you.
Currently in your CRM
Provided by LeadCoverage via our SalesIntel partnership
+
SalesIntel is our data partner for verified, human-checked B2B contacts across the freight & logistics market — we use it to expand your addressable ICP with accurate, ready-to-work records. Learn more at salesintel.io.
Additional you still need
Total records at top of funnel 10,000
This is your total addressable market (TAM) — the ceiling for what we can put into the top of the funnel.
$
Annual recurring revenue per customer — pre-filled from your selection. Edit if your number differs.
The conversion rates we measure — and improve

This is where LeadCoverage goes to work. For a B2B company with a longer, enterprise-style sales cycle — where we typically operate — these are realistic benchmark ranges. Most logistics companies sit at the low end of Typical; we target the Good + band and push toward best-in-class. Drag each rate and watch the pipeline below respond.

Intent data — our recommendation
Pick one platform; we'll add it to the schedule and lift conversion at every stage. Impact shown is a modest, illustrative estimate only.
Add paid media / social advertising
Accelerate growth by increasing the number of qualified buyers entering the Revenue Engine. Paid media doesn't fix a broken engine — it amplifies one that's already working.
The pipeline we generate for your sales team · estimated

From 10,000 addressable contacts, we move 0 companies past the inflection point into your sales pipeline.

$0
Annual pipeline we build
Money-on-the-table pipeline, handed to your team to go sell.
0
Companies into the sales pipeline
About 0 sales-ready companies every month.
Potential revenue impact
LeadCoverage builds the pipeline — your sales team closes it. Enter the rate your reps convert qualified pipeline into won revenue.
$0
%
Pre-filled from your client tier — 25% for mid-market, 10% for enterprise. Adjust to your team's actual close rate.
Now consider your LGER™

The Logistics Growth Efficiency Ratio (LGER™) is a LeadCoverage metric — the pipeline created for every dollar of go-to-market spend, benchmarked quarterly through our Supply Chain Growth Index. Add your costs to see where you'd land against the freight & logistics benchmark.

Get the latest Index →
$
$
Software and data tools, additional intent-data platforms beyond the one above, extra records, and other vendors outside your retainer.
Intent platform (added automatically) + $0/yr
Avg. ad spend to run the platform (added automatically) + $12K/yr
$
Estimated across all Revenue Engine programs — pre-filled at $10,000/yr. Edit if your number differs.
days
It takes ~90 days on average to stand up the Revenue Engine and reach full run rate. Year-1 pipeline is prorated for this ramp; spend runs the full year.
Enter your annual retainer (and any other GTM spend) to see your projected LGER against the freight & logistics benchmark.
Your pipeline ROI
—
pipeline built for every $1 of GTM spend
Annual pipeline
$0
Simple ROI summary
What you invest vs. what we build
Total GTM investment
$0/yr
→
Qualified pipeline built
$0/yr
Year 1 after 3-month ramp: $0

Send me this pipeline model

We'll email your results and a strategist will follow up to walk through how we'd build this pipeline for you.
The engine does not stop

The pipeline above is not a one-time number.

Share good news, track interest, follow up. Every motion runs in every funnel, forever. Prospect to nurture to customer, then back to the top with a customer who has good news of their own. That is what keeps the model compounding after year one.

The Revenue Engine loop. Share good news, track interest, and follow up run continuously across the prospect, nurture, and customer funnels.

We are accountable for the pipeline. You are accountable for the close.

This model exists so both sides know which number is whose before month one.

See the case studies Get the book