Industries
Attribution across a distributor channel that hides the buyer.
A distributor sale can close without ever telling the manufacturer who actually bought, and a dashboard that only sees the original RFQ has no way to close that loop on its own. Attribution here has to survive a channel built to obscure the end buyer.
A manufacturer selling through distributors routinely produces the RFQ, wins the spec, and never learns who bought the finished product. The distributor closes the sale, the manufacturer sees a sell-through number weeks or months later if at all, and the marketing that generated the original engineering interest sits several steps upstream of any record that could confirm whether it actually produced an order.
What makes industrial B2B attribution hard
Four things compound here, and they rarely show up together outside this vertical. The distributor channel breaks the chain by design - a sale that closes through a distributor is frequently invisible to the manufacturer's own systems entirely, visible only through whatever sell-through reporting the distributor relationship happens to provide. A buying committee of engineers, procurement, and operations evaluates in parallel rather than in sequence, and no single one of them owns the decision end to end, which means no single trackable path exists from first inquiry to order. Sales cycles measured in quarters, not weeks, make a standard monthly reporting cadence close to meaningless on its own - a channel judged after one quiet month may simply be six weeks from producing its next win. And CRM hygiene in industrial sales is usually the weakest link of all: RFQs logged as free-text notes, inconsistent stage names, duplicate accounts - the kind of data quality problem that has to be fixed before any attribution model built on top of it can be trusted.
A blended, company-wide win rate hides all four at once. A campaign generating strong RFQ volume that rarely survives engineering review looks identical, in a simple lead-count report, to one generating fewer but better-qualified RFQs that close at a much higher rate - and without stage-level data and a real connection to eventual orders, there is no way to tell the two apart.
How we handle distributor-channel visibility
Visibility into a distributor sale depends entirely on what that specific distributor relationship makes available, and the honest answer varies by partner. Where a deal registration program exists, a registered opportunity gets tracked through to its recorded outcome. Where the distributor provides periodic sell-through reporting, that data gets matched back to the original RFQ at the account or segment level, even without a person-level identifier. Where a distributor genuinely shares neither, the account is tracked as a real but unattributed outcome rather than quietly dropped from the record or forced into a connection the data does not support.
This same honesty extends to direct sales, which are fully visible end to end - RFQ, spec review, quote, purchase order - and reported with that full confidence, distinct from the partial visibility a distributor deal carries. Blending the two into one channel-performance number would flatter or understate either path depending on which one happened to close more that quarter, so they are reported separately by default.
How the six mapped services combine
Paid search reaches engineers and buyers searching specific part numbers, technical specifications, or application terms - queries that show up well before an RFQ is submitted, at the exact moment someone is narrowing down what to spec. SEO builds the slower version of that same visibility: technical documentation and application content that ranks for the research an engineer does independently, long before procurement or operations ever enters the conversation. Content marketing serves the buying committee's different roles directly, since a spec sheet that answers an engineer's technical question does not answer procurement's cost question or operations' implementation question, and a single generic asset tends to satisfy none of the three well. Email marketing keeps an account warm across a multi-quarter cycle, since a distributor deal that takes six months to move from spec to purchase order needs contact in the silence between those stages. Marketing operations fixes the CRM hygiene problem directly - consistent stage names, structured RFQ fields, deduplicated accounts - work that has to happen before any of the other five programs can be measured against data solid enough to support the comparison. Attribution ties every stage back to the eventual order, distributor-reported or direct, rather than stopping at the RFQ.
What a monthly review looks like
Each month's report breaks out RFQ volume and stage-to-stage advancement by channel - inquiry to spec review, spec review to quote, quote to order - so a channel producing high RFQ volume that rarely advances is visible as a qualification problem rather than counted as a win on lead count alone. Distributor-reported outcomes are shown as their own labeled category, separate from directly attributed orders, so the two are never blended into one misleading win rate. CRM data quality - duplicate accounts, missing stage updates - is tracked as its own ongoing metric, since a drop in hygiene quietly degrades every other number in the report.
Budget shifts toward the channels producing RFQs that actually advance through committee review, using stage data confirmed in the CRM rather than raw inquiry volume alone.
Client results for manufacturers show what this reporting looks like once RFQs are tracked through to an actual order.
Which services apply
Attribution
Attribution built to your revenue system, not the ad platform's.
SEO
Non-brand organic visibility measured per location.
Content marketing
Editorial measured by the deals it appeared in.
Paid search
Non-brand paid search judged on booked outcomes.
Marketing ops
Stack consolidation and the plumbing everything else depends on.
Email marketing
Lifecycle programs measured on incremental revenue.
Through whatever the distributor relationship actually makes available - deal registration where a program exists, periodic sell-through reports matched at the account or segment level, or a direct relationship with the distributor's own sales team confirming which registered opportunities closed. Where a distributor genuinely shares nothing back, we say so plainly rather than manufacturing a connection that does not exist, and the account gets tracked as an unattributed but real outcome rather than dropped from the record entirely.
Every meaningful stage between the first inquiry and the order gets its own logged event - a qualified RFQ, a spec sent for engineering review, a quote issued, a purchase order received - rather than waiting nine months for a single pass-or-fail outcome. That staged view gives a real, if provisional, read on which channels are producing RFQs that actually advance, well before the first cohort has had time to fully close.
By tracking engagement separately for each identifiable role in the decision - the engineer validating a spec technically, procurement evaluating cost and terms, operations confirming it fits existing equipment or process - rather than collapsing three different evaluations into one lead record. Content and follow-up get matched to whichever role is actually engaging at a given stage, since a technical spec sheet answers a different question than a total-cost comparison, and sending the wrong one to the wrong role at the wrong stage is a common way a real opportunity stalls.
That gets fixed first, since attribution built on top of inconsistent stage names, duplicate accounts, or RFQs logged as free-text notes will produce numbers nobody can trust regardless of how good the tracking underneath it is. The audit typically surfaces this early, and cleaning up field structure and stage definitions - not a full CRM replacement, usually just consistent use of what is already there - comes before any channel comparison gets reported as reliable.
With them, directly. Sales owns the relationship with the buying committee and the distributor, and the stage data this measurement layer depends on - a spec sent, a quote issued, a purchase order received - comes from what sales and the CRM already record rather than a parallel system built around them. The goal is a shared view of what marketing produced and what sales converted, something both sides can actually rely on.
See what your RFQ pipeline actually converts to.
A review of your last two quarters' RFQs, staged from inquiry through to order or loss, showing where the distributor channel currently breaks the chain.