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Grow what each customer is worth. Cut what you lose.We model the risk in your pipeline, and get you ahead of it.

Blufire models the full economic life of your customers: which customers will churn, which accounts will expand, which deals will close. We score the risk - churn, win/loss, stalled deals - and hand you the move to make, every number tied to closed revenue and lag-corrected for how you actually sell. Built for service, not off a shelf.

Reproducible to source. $480K of spend reconciled to $4.6M of closed revenue across a 47-day sales cycle.
Pipeline-money flowLive
Pipeline money · closed-loop ROAS
$480K of spend produced $4.6M of closed revenue this quarter — 168 deals won at a 9.6× return.
Click142k
Lead4,100
Qual1,540
Meeting880
Proposal410
Won168
From the team behind $150M in revenue influenced
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The command center

It opens to what changed, and what to do.

Not a wall of charts. Blufire opens to the anomalies that moved your pipeline and the moves worth making, in plain English, every number reproducible to source.

Pipeline money · dashboardPipeline: B2B servicesRegion: AU / NZUpdated 12m ago
Meeting → Proposal conversion dropped 18% on Meta$42K at risk2h ago
Google Ads CPL up 41% week-over-week$8K impactyesterday
Time-to-close creeping up — 6 days longer than the 4-week averagetoday
Intelligence summary · last 30 daysconf High

Spend rose +13.9% to $48.3K while closed revenue lifted +37.4% to $1.18M. Lead → meeting conversion moved 3.21% → 3.81%; quality is improving faster than volume. ROAS landed at 9.6× on a 47-day median cycle.

WatchGoogle Ads CPL up 41% w/w on the enterprise-CRM cluster; two new entrants in auction insights. Volume is holding, but the cost trajectory is unsustainable past 14 days.

ActionShift $40k/mo from Meta to LinkedIn — closed-loop ROAS is 2× higher there.

HypothesisIn-flight pipeline projects 240 deals close this quarter vs 168 reported — a 40% lag undercount.

Closed revenue · 30d
$1.18M
▲ +37.4% vs prior
Blended ROAS High
9.6×
▲ +0.4 vs prior
Blended CAC
$2,860
▼ -8% vs prior
Pipeline coverage
1.8×
target 1.5×
What it solves

Start with the question you're already asking.

The questions service-business operators bring us, and the closed-loop answer to each.

What does our pipeline look like right now?
Every open deal by stage, value-weighted, with the stalled ones flagged.
Open pipeline · by stage$7.2M wtd
Qualified1,540
Meeting880
Proposal410
Won168
Pipeline & customers
What did our marketing spend actually turn into?
Closed-loop ROAS — every dollar stitched to the revenue it became, not the leads it bought.
$4.6M
Closed revenue, 90d
9.6x
Blended ROAS
Pipeline money
What's our most efficient channel?
True closed-loop ROAS per source, not the credit each platform claims for itself.
Channel · closed-loop ROAS90d
LinkedIn11.5x
Google9.7x
Meta5.9x
Email2.2x
Channels & ROAS
What's our win rate, and is it moving?
Win rate over time, broken by stage and source, with significance on every shift.
Win rate · 8 weeks
23%▲ +5pp
Won / lost
What's our quote-to-win rate?
Proposal-to-won conversion, where it leaks, and the dollars riding on it.
41%
Quote to win
35%
Team target
Velocity & lag
Which salespeople are performing, and which aren't?
Every rep benchmarked to peers on win rate and cycle time, with significance.
Reps · win ratevs peers
A. Chen 34%
M. Ross28%
J. Park21%
T. Vale14%
People & performance
Who converts better on which channel?
Win rate by rep and channel, so you route each lead to whoever closes it.
Win rate · rep × channel%
LinkedInGoogleMeta
Chen382919
Ross312212
Park18279
People & performance
Which region do we perform best in?
Pipeline and win rate by region, with source crossed against place.
Win rate · region90d
Metro East31%
Inner West22%
North14%
Geography
Why are we losing deals, and where?
Every lost deal by reason and the stage it died at, in dollars.
Lost pipeline · reason$3.1M
Budget 31%Price 24%Competitor 18%Other 27%
Won / lost
How long until in-flight deals close?
Stage velocity and a time-to-close curve by source, so you know what's coming when.
Cumulative closemedian 47d
0 90 days · 47d median
Velocity & lag
Are we under-counting deals still maturing?
Lag-correction projects in-flight cohorts to maturity, with honest confidence bands.
Won this quarter90% CI
168 reported 240 projected
Forecast & lag
See these run on your own pipeline.Connect your CRM and ad accounts; we map your funnel and stitch spend to revenue in days.
The problem
Your ad platform reports a form fill. Your CRM reports a closed deal 47 days later. Neither can see the other, so you optimise spend toward leads that may never become revenue, and your agency reports clicks instead of cash.
Blufire closes the loop. Every dollar of spend, tied to the revenue it actually became.
Closed-loop attribution

Spend in. Revenue out. The whole loop, reconciled.

We stitch every click to the deal it became in your CRM, then lag-correct for the deals still in flight, so the number is true even mid-cycle.

Spend to settled, this quarter
Spend
6 channels
$480k
invested
Leads
4,100
$24.6M
2.9%
Qualified
1,540
$18.4M
38%
Meeting
880
$12.1M
57%
Proposal
410
$7.4M
47%
Won
168 deals
$4.6M
41%
$480k of spend produced $4.6M of closed revenue - a 9.6x return - across a 47-day median cycle. Every band is a real CRM stage transition joined to the spend that created it. No platform self-reporting, no guesswork.
The number your dashboard is missing
What your CRM reports today
1Deals won168
2Revenue closed$3.1M
3Apparent ROAS6.5x
4In-flight, uncounted$18.4M
What lag-correction projects90% CI
1Deals won, projected240
2Revenue, projected$4.6M
3True ROAS9.6x
4Confidence band212–268
You think this quarter closed 168 deals. Lag-correction says 240, with a 90% confidence band of 212 to 268. Service cycles run weeks to months, so in-flight deals are right-censored. We project maturing cohorts from your own historical lag instead of letting you undercount by 40%.
What you get

The questions, answered with your own numbers.

A few of the questions above, and the product view behind each answer.

Pipeline money

See where the money leaks out.

Every stage from click to close, with the conversion and the dollars lost at each junction. The biggest leak, in cash, surfaces first, so you fix the stage that's actually costing you.

We flag the single stage losing you the most. You fix it.
Where deals leak, by stageLive
Proposal → Won  41% pass-$3.1M
Meeting → Proposal  47% pass-$2.0M
Qualified → Meeting  57% passon track
Lead → Qualified  38% passon track
Channels & ROAS

Which sources convert, and where they leak.

Every source scored end-to-end, from click to closed deal, with the stage each one leaks at. The source with the cheapest leads and the one that closes the most revenue are rarely the same.

We rank sources by closed revenue. You move the budget.
Per-source funnelLead → Won
Best end-to-end
6.1%
LinkedIn · 1,540 leads → 94 won
Worst end-to-end
0.9%
Display · 880 leads → 8 won
Most common leak
Meeting → Proposal
53% of lost pipeline
Biggest gap
Meta −22pp
at Proposal vs portfolio
Won / lost

Know exactly why deals die.

Every lost deal mapped to its reason and the stage it died at, in dollars. The hot cells show the systemic leak to fix, not the loudest anecdote from last week's pipeline review.

We rank the recoverable losses. You coach to them.
Lost pipeline · reason × stage$3.1M
LeadQualifiedMeetingProposal
Budget / no decision$80k$120k$240k$520k
Price$40k$90k$180k$434k
Chose a competitor$20k$60k$130k$348k
No-show / went dark$180k$90k$40k$20k
Less lost more lost · biggest leak: Budget at Proposal
Forecast & lag

Know what's going to close, not just what did.

Lag-correction projects your in-flight pipeline to maturity with real confidence bands, so you forecast on what will actually settle, not a flattering point estimate that ignores the deals still mid-cycle.

We show the band. You plan against it.
Settlement forecast · next 90 days90% CI
+30d projection · $5.2M · CI $4.4M–$6.0M
30-day60-day90-day
Stop optimising to leads. Start optimising to revenue.See the exact closed-loop ROAS and ranked moves Blufire would hand your team, on your numbers.
Insight to decision

It tells you the move. You make the call.

Blufire ranks every move by the revenue at stake, with its confidence and where the number came from. Push value-weighted conversions back to your ad platforms, or hand the list to your team. We improve the signal. We don't take over your accounts.

Shift $40k/mo from Meta to LinkedIn
Expected revenue
+$180k / yr
Confidence
High
Effort
Low
Suggested owner
Growth
Status
Recommended
Source
Reproducible
Reconciled to source. Reproducible.
Export the plan →
This quarter's moves, ranked by revenue at stakeLive
Shift spend Meta → LinkedIn+$180k
Rescue 28 stuck deals+$94k
Fix the Proposal → Won leak+$80k
Cut YouTube (2.7x, negative)+$22k
Outcome tracking: +$214k revenue realised vs +$226k predicted →
Connected

Not another tab. It fits how you already sell.

We integrate to all your marketing channels, your CRM, and your custom job-management software. Running something bespoke? We align to your software as needed and connect accordingly. No data team required.

All marketing channels
Any CRM
Job-management software
Custom & bespoke
Trust

Numbers a CFO can sign.

Every figure is computed from your CRM stage transitions and ad spend - deterministic, reproducible, auditable. Code, commit and data snapshot reproduce the number. Where a figure rests on a projection, we show the confidence band, not a false point estimate.

Visit the Trust Center
Closed-loop ROAS, reproducibleReconciled
9.6×$4.6M closed revenue
On 168 won deals, 47-day median cycle, reproducible to source
Ad spend, 6 platforms$480k
CRM stage transitions1.4M
Deals matched to spend98.6%
Lag-corrected, 90% CI±12%
Reproducible to source. Every figure recomputes from ad spend, CRM stage transitions and server-side tags. Confidence bands where a cohort is still maturing. No black boxes.
Want closed-loop ROAS on your own pipeline?We'll connect your CRM and ad accounts and walk you through where your spend becomes revenue.
Why Blufire, not your CRM dashboard

Your CRM reports the past. We model what's next.

HubSpot and Salesforce tell you what happened. Blufire models what is about to - and goes granular enough to act on it.

Your CRM's built-in analytics
Blufire
×Shows each deal's stage and status, after the fact.
Scores churn, win/loss and stall risk before it happens - with the signal and the move to get ahead of it.
×Ad spend lives in one tool, revenue in another. Neither sees both.
Closed-loop - every dollar of spend tied to the revenue it actually closed, by source and cohort.
×Counts open pipeline at face value, so the forecast flatters.
Lag-corrected to your real sales cycle, so what's bankable and what's hopeful are told apart.
×Canned dashboards, account-level, take a data team to extend.
Granular to the customer, deal and source - every number reconciled to its query and data snapshot.
In their words

Operators, not anonymous praise.

"
Blufire is one of the strongest marketing teams I've worked with in the past decade. They are responsive, highly skilled, and proactive in understanding our business to improve strategy and execution across paid media.
Jason BulgerCEO, Insider Sports
"
I've been very impressed with the improvements Blufire have made to our paid digital marketing at Peter Jackson. Their team is proactive, performance-focused, and consistently works to maximise results. They operate as a true partner.
Nick JacksonCMO, Peter Jackson Menswear
"
Blufire was a valuable partner during a period of significant change for our organisation. They were responsive, decisive, and brought the experience needed to move quickly and with confidence.
Braden HodgesDirector of Demand Gen, interos.ai

See your real ROAS in your first weeks.

Connect your CRM and ad platforms. We map your funnel, stitch spend to revenue, and hand you the ranked moves.

01

Connect your stack

CRM and ad platforms. No data team, no spreadsheets.

02

Map your funnel

Your real stages, mapped with us in a short onboarding.

03

Stitch spend to revenue

Every click tied to the deal it closed, lag-corrected.

04

See closed-loop ROAS

By source, campaign and cohort, with significance on every comparison.

05

Get the ranked moves

Every action, priced in the revenue at stake.

Book a consult Talk to an analyst
Questions

The things buyers ask.

Your ad platform sees the click; your CRM sees the close 47 days later. Neither sees both. Blufire joins them into closed-loop ROAS - realised revenue attributed to spend - lag-corrected for your real sales cycle.
No. We map your real stages with you in a short onboarding, so the analytics fit how you actually sell instead of forcing a generic three-stage funnel.
That's exactly what lag-correction is for. In-flight deals are right-censored, so we project maturing cohorts from your own historical lag, with confidence bands, instead of letting you undercount mid-cycle.
No. We improve the signal, pushing value-weighted conversions back to your ad platforms, and hand your team the ranked moves. Your in-house team or agency keeps managing the accounts.
HubSpot, Salesforce, Pipedrive and more on the CRM side; Google, Meta and LinkedIn on spend. Server-side tagging closes the loop between them.
A dedicated database per customer, SOC 2 certified, hosted in Australia, with every number reproducible to its source. See the Trust Center.