The Amplixity process
Pipeline shouldn't be a mystery you hope works out. Our process is a sequence we run the same way every time: model the math, define the accounts, build the motion, and report on what's working down to the account. Here's exactly what happens, step by step.
01
Financial and LTV:CAC modeling
02
Closed-won and lost analysis
03
Build and manually verify your TAM
04
Account segmentation and contact-level intent
05
Creative, messaging and landing pages
06
Demand creation and capture
07
Pre-sell and pre-call warming
08
Multi-channel nurture and retargeting
09
Insights, attribution, and reporting
STEP 01
Financial and LTV:CAC modeling
Know what a customer is worth before you spend to win one.
Before any ads run, we model your numbers with your team: your ACV, close rate, what you can afford to pay for a booked meeting, and what you can afford to pay to acquire a customer, then we build a 12-month pipeline and ROI forecast from there. You see the math work before you commit a dollar, not after.
Workshop model
Cost-per-meeting → 12-month ROI
STEP 02
Closed-won and lost analysis
Let your best customers define who we go after.
We pull your closed-won and closed-lost history from your CRM and reverse-engineer the patterns: the demographics and psychographics of who actually buys, pays, and stays, and why deals slip away. "Best-fit" stops being a guess and becomes a definition grounded in your own revenue.
CRM history
- ✓ Acme - $84K · CW
- ✓ Northwind - $112K · CW
- ✗ Initech - no budget · CL
- ✓ Globex - $66K · CW
- ✗ Hooli - wrong fit · CL
ICP, defined by revenue
- • B2B SaaS · 50–500 FTE
- • ACV $60K–$120K
- • VP RevOps / Head of GTM
- • Trigger: new funding, exec hire
- • Outbound-mature, paid-curious
STEP 03
Build and manually verify your TAM
Every dollar hits an account you can actually close.
Most companies spray ads across a broad audience and hope a few good accounts surface. We do the opposite: we map your entire total addressable market, then manually verify the best-fit accounts by hand, removing the wrong-fit, the unreachable, and the never-going-to-buy. What's left is a named universe of accounts worth spending against, so budget compounds into pipeline instead of leaking into the wrong audience.
TAM filtering
Spend only ever reaches the bottom row.
STEP 04
Account segmentation and contact-level intent
Start with the accounts already raising their hand.
We segment the verified list and prioritize by intent, read at the contact level, not the account level. Using 20+ signals plus human intent traffic like competitor visits, we know when the actual decision-maker is in-market. Those accounts get worked first; the rest enter the demand-creation motion.
Verified accounts
In-market now
Contact-level intent
→ Demand capture · ads + outbound
Not yet aware
Best-fit, cold
→ Demand creation · awareness + content
STEP 05
Creative, messaging and landing pages
The right message is what makes the right targeting actually convert.
We build the ads, content, and conversion pages that carry the offer to your hand-verified accounts. Messaging is written for the specific buyer we're targeting, not a generic persona, and landing pages are built to convert that buyer the moment intent lands.
Creative for the named buyer
Ad · LinkedIn
"VP RevOps at $50M+ B2B SaaS:"
Built for the role, not a persona.
Landing page
One offer. One CTA. Book a meeting.
Built to convert the moment intent lands.
Outbound copy
Pattern-broken from the cold-email template every other vendor sends them this week.
STEP 06
Demand creation and capture
Capture the demand that exists. Create the demand that doesn't.
Two motions run at once. For in-market accounts, we capture demand: LinkedIn conversion ads and Meta booking ads, followed by multi-touch outbound that lands after they've seen the ads for 7–10 days, so outreach reaches someone who already recognizes you. For cold best-fit accounts, we create demand: awareness ads and content that warm them until they generate intent and drop into the same pipeline.
Capture timeline
LinkedIn ads
Meta booking ads
Outbound (email · call · LI)
STEP 07
Pre-sell and pre-call warming
Buyers show up to the call already convinced.
Once a meeting is booked, we don't stop. We deliver targeted assets, case studies, and proof to the buyer before the call, so trust is already building before your rep ever joins. This is what lifts show rates and close rates, and turns meetings into closed revenue instead of cold conversations.
Pre-call warming
- Hour 0Meeting booked
- Day 1Personalized brief + case study delivered
- Day 2–3Proof asset + ROI model sent to the buyer
- Day of callBuyer joins already convinced
Higher show rate. Higher close rate. Less cold conversation.
STEP 08
Multi-channel nurture and retargeting
Surround every account across every channel they use.
Account Swarm: coordinated multi-channel presence across LinkedIn, Meta, Reddit, X, and Google Display, plus email and text. Champion and committee nurture keep the buying group warm between touches, and retargeting revives active and lost deals so your brand stays in front of the people who can sign.
Account Swarm
Target
Account
STEP 09
Insights, attribution, and reporting
See what's working, down to the account.
We report on the metrics that matter, meetings, pipeline, and revenue, with attribution down to the account and channel level. You always know which segments and creative are driving pipeline, so spend keeps shifting toward what works.
Pipeline · last 30 days
Live$4.82M
Pipeline
$1.31M
Revenue
By channel
Ready to engineer your pipeline?
We'll model your numbers, map your best-fit accounts, and show you the 12-month pipeline this process is built to produce - before you commit to anything.
Ready when you are
Let's build your revenue engine.
Tell us where pipeline is breaking. We'll show you exactly how the system fixes it - and what your numbers could look like in 90 days.