Where your revenue is growing,
where it's at risk, and what your
team should do about it.
Signal-driven account intelligence for B2B manufacturers and distributors. All from data you already own.
Your accounts are already
sending signals.
You are not receiving them.
Revenue decline, wallet share loss, and cross-sell gaps don't announce themselves. Accounts in slow decline still place orders. Accounts shifting their spend to competitors still look active. Accounts with significant whitespace opportunity look identical to fully penetrated ones.
The patterns that reveal all of this are in your order history. But raw transaction data has never been organized into something a sales team can act on — so the signals go unread, and the revenue quietly moves.
Revenue Intelligence is forward-looking by design. It tells you what is happening now and what is likely to happen next — not what already showed up in last month's report.
All from order data you already own.
No new data to collect. No data science team. Whether your CRM is fully implemented or not. Every insight below comes from your existing order history — organized into intelligence your team can act on.
| What it finds | Why it matters | Value at stake | Included |
|---|---|---|---|
| Growth signals | |||
| Wallet share growthIs our growth coming from new business — or are we just holding what we had? | Period-over-period revenue decomposed into a waterfall per account: retained base, volume expansion, new SKU revenue, and lapsed revenue. Which SKUs are growing, which have gone quiet, and how much of this period's revenue is genuinely new versus held base — at the account level, rolled up by rep and portfolio.Answers the question your team cannot answer today: is growth coming from new market share, or are we just holding what we had? New customer contribution isolated using first-order-within-period as the definition of new. | $200K–$1.5M growth opportunity identified | ✓ |
| Cross-sell whitespaceWhat could this customer buy from us that they don't? | Every customer mapped against your full product catalog. The gap between what they currently buy and what they could buy — quantified in dollars, ranked by customer lifetime value. Your team sees the whitespace before the conversation, not after.The median customer in B2B manufacturing touches 0.14% of available catalog. That gap is your nearest-term growth lever — requiring no new customers, no new products, no new marketing spend. | $150K–$1.2M whitespace identified | ✓ |
| Expansion signalsWhich accounts are ready to buy more right now? | Accounts showing expansion behavior — increasing order frequency, broadening product mix, compressing reorder cycles — identified before competitors notice the same pattern. The growth opportunity your reps would otherwise discover by accident months later.Expansion inside an existing account costs a fraction of acquiring a new one. Revenue Intelligence systematizes what top reps do instinctively and makes it available to the whole team. | $75K–$375K expansion opportunity identified | ✓ |
| Blind spotsWhat should this customer be buying, based on what similar customers actually buy? | Every account compared against peer accounts in the same segment. Accounts buying a narrower slice of your catalog than comparable customers flag spend that is likely going to a competitor — quantified in dollars, ranked by CLV.The sales you are not seeing are as important as the sales you are. Peer groups derived from your customer segment and region data, reviewed and confirmed at setup. | $100K–$800K recoverable opportunity identified | ✓ |
| Risk signals | |||
| Revenue at riskWhich accounts are spending less than they used to — and how much are we losing? | Every account scored automatically against its own 3–5 year order history — across your entire account base, every day. A $500K account running at 60% of its own baseline is flagged with dollar exposure named, not a segment average. The signal fires while the account is still recoverable, not after the variance shows up in a quarterly review.Running this analysis manually for one account is straightforward. Revenue Intelligence runs it for every account, every day, without anyone doing anything. | $500K–$2.5M identified and prioritized | ✓ |
| Accounts in slow declineWhich accounts are drifting down before it shows up in our numbers? | Multiple revenue intelligence signals running in parallel — catching sudden pullbacks, slow persistent drift, missed order cycles, and SKU abandonment. An account escalates to High Risk only when two signals agree. No false alarms. No black box.An account dropping 2% per month looks like noise in any monthly revenue report. Across order cycles, Revenue Intelligence accumulates evidence of the pattern and flags it — while the account is still recoverable. For accounts with regular order cadences, this is typically 6–10 weeks earlier than periodic review discovery. | 6–10 wks earlier than periodic review | ✓ |
| Ranked call listWho should my reps call first — and why? | A CLV-weighted priority list delivered to every rep on a schedule your team sets. Every rep contacts the accounts most likely to need attention first — not the ones that happened to call last, or the ones the rep feels comfortable with.Manual prioritization systematically under-serves high-value accounts in early decline — they look fine until they don't. A CLV-weighted ranked list is a risk management tool: the accounts most recoverable get contacted while they still are. | High-value at-risk accounts contacted while still recoverable | ✓ |
| Revenue health reportHow much of our revenue did we actually retain, grow, or lose this period? | Net Revenue Retention calculated automatically from your order data every month. Retained, at-risk, recovered — in board-ready format, delivered to designated stakeholders automatically. No analyst request, no finance export, no manual preparation.Leadership has a current NRR figure on a consistent schedule — without anyone doing anything to produce it. | Always current. Zero analyst time. | ✓ |
Value at stake figures reflect identified opportunities — not guaranteed outcomes. What your team does with the intelligence determines what gets captured. Figures modeled on a typical B2B manufacturer with $50M+ revenue, 500+ accounts, 1,000+ SKUs.
Your order data in. Actionable intelligence out.
Three steps. The first one is the only one that requires anything from your team.
One export. One guided session.
Guided by Arivue from day one. We ensure accurate signal calibration before anything goes live. You configure one export from your system — whatever format it supports. It runs automatically from that point forward.
One session · standard ERP configurationsMultiple signals, running every day.
Independent revenue intelligence signals analyze every account against its own order history — catching growth opportunities, sudden pullbacks, slow drift, missed order cycles, wallet share loss, and SKU abandonment. An account escalates to High Risk only when two signals agree. Explainable to any sales manager.
Updated automatically · every dayEvery rep knows where to focus.
On a schedule your team sets, every rep receives a ranked account report — signals fired, dollar exposure, and recommended focus areas. Your dashboard is always current. No report to build, no data to pull.
First output within 3–5 business days of data receiptA ranked account report — one click, every time
Every rep receives a consistently formatted, CLV-weighted account report on the schedule your team sets — signals fired, signal type, and dollar exposure per account. The same quality of analysis, every rep, every period. No prompt to write, no query to run.
Guided signal detail for every flagged account
Click any flagged account. A structured summary appears: signal type, the order pattern behind it, dollar exposure, and the context your rep needs before making the call. Every figure grounded in calculated order metrics — not a model guess. Consistent output regardless of which rep is looking.
Two ways to interrogate your data
One-click skills for repeatable analysis — "show my top accounts by expansion signal this month," "find accounts that haven't reordered in 60 days but were monthly buyers last year" — run instantly, formatted consistently. Freeform questions against your account and signal data for everything else.
A performance dashboard that runs on schedule
At the interval your team sets — weekly, monthly, or quarterly — a structured performance dashboard is delivered: signals fired, accounts recovered, revenue protected, wallet share movement, top risks and opportunities. Ready for any internal review, board conversation, or account planning session without anyone pulling data.
What changes when your order data starts working for you.
All from data you already own.
Unlike reporting tools that summarize what happened, Revenue Intelligence tells you what is happening now — and what your team should do about it. If you sell products to named accounts, this was built for you.
If your system can export order data, we can read it.
No integration project. No IT involvement beyond your setup session. You configure one export in whatever format your system supports — it runs automatically from that point forward.
Historical data loaded from your first scheduled export. No IT project required. No access to your internal systems. After that, an incremental daily export keeps everything current. Configured once, runs automatically.
Guided by Arivue. until you're ready.
We guide your onboarding to ensure accurate signal calibration. You review outputs before go-live and confirm they reflect your business. First output typically within 3–5 business days of data receipt for standard ERP configurations.
Guided setup session
An Arivue specialist joins a call with your data or IT contact. We walk you through configuring one scheduled export from your system. Standard ERP configurations are straightforward — complex or legacy systems are assessed separately.
One session · your only taskData validation
Arivue receives your historical data and maps your fields to the signal models. Minimum 24 months of order history required for full capability. You receive a data quality summary — no action needed unless exceptions are flagged.
Arivue only · exceptions flagged if anyCalibration review
Revenue intelligence signals run on your historical data. Peer groups auto-derived from your customer segment and region data — reviewed and confirmed with you before go-live. You review sample outputs and sign off before anything is delivered to your team.
One review session · your sign-offFirst output delivered
Your team receives their first ranked account report and signal dashboard. From this point forward, signals run automatically on a daily cycle and reports deliver on the schedule you set.
Live · runs on your scheduleWhat Revenue Intelligence is — and what it is not.
Explicit boundaries prevent misaligned expectations. Every item below is a deliberate product decision.
Your data already holds the answer.
Let's find it together.
Every conversation starts with your situation — your system, your accounts, your gaps. No pitch deck. No generic demo.
Start the Conversation