01Before Blaming the Campaign
Before blaming the campaign, pull three numbers
The Short Version
Nobody can fix lead quality without a written reason for each discard. Until that exists, the conversation is opinion against opinion.
Three numbers, and all three are already in the CRM. First: how many inquiries came in over the last 90 days and how many were marked as discarded. Second: the reason written on each discard — and if the field is empty on more than half of them, that is the finding, not the leads. Third: the gap between the timestamp of the form fill and the timestamp of the first outbound call or e-mail. An afternoon of work in the export. With those three columns side by side the argument stops being about who is right and starts being about which of the five causes below is yours.
A concrete example from a valve manufacturer in the interior of São Paulo: 214 form fills in a quarter, 187 marked "no profile". Of the 187, only 22 had a written reason. Reading those 22 by hand, 14 said "wanted a single unit" and 6 said "reseller". The other 165 had nobody who could say why. The campaign was not the first problem — the missing reason field was, because without it there was no way to tell marketing what to stop buying.
The written criterion that this reason field has to be checked against is a separate subject, and it has its own page: how to define what a qualified lead is in manufacturing. Get the measurement running first; the criterion comes right after.
02The Five Real Causes
The five causes that actually produce the wrong lead
In order of how often they show up in a Brazilian industrial operation, and each one has a different fix. Find yours before spending on anything new:
Cause 01
The Metric Rewards Volume
The agency contract or the internal target says "leads per month". Whoever is measured that way will lower the barrier, because a shorter form and a broader keyword make the number go up this month. Nobody is acting in bad faith — the incentive was written wrong. Change the contract line from leads to qualified inquiries and the behaviour changes within one cycle.
Most Common
Cause 02
The Keyword Buys the Wrong Intent
"Stainless steel valve" brings the maintenance technician who needs one replacement part, the student writing a paper and the buyer of 400 units — at the same cost per click. "Stainless steel valve manufacturer" and "valve for a food processing line" filter by intent at the source. Long-tail technical terms cost less and convert better in manufacturing.
Fix in Days
Cause 03
The Form Asks Nothing
Name, e-mail and phone identify a person, not a purchase. Without application, volume and deadline the rep has to call to find out whether it is worth calling. Four honest fields cut total volume by 30 to 50 percent and raise contact rate, because whoever fills them in has already decided to talk.
High Leverage
Cause 04
The Bait Attracts a Reader, Not a Buyer
A generic e-book downloaded in exchange for an e-mail collects whoever was curious. A dimensional sheet, a load table, a technical comparison between two alloys or a quotation calculator collects whoever has a project in hand. Same funnel mechanics, completely different population on the other side.
Content Fix
Cause 05
The Reach Ignores Freight and Plant Size
If freight makes an order below 800 kg unviable, or if you do not serve customers outside the South and Southeast, the campaign that runs nationwide with no minimum order signalled will fill the pipeline with inquiries you cannot serve. Say the minimum out loud on the page. Losing that lead at the form is cheaper than losing it after the rep spent two calls on it.
Silent Cost
03Bad Lead or Badly Handled Lead
How to tell a bad lead from one that was badly handled
This is the part nobody wants to hear, and it is why the exercise has to be done with the export open rather than in a meeting. Sort the discarded leads by response time and read the two ends of the list:
The Three-Cut Diagnosis
Cut 1: Answered Within 2 Hours
If leads answered fast were also discarded at a high rate, the source really is bringing the wrong audience. This is the only cut that proves the campaign is at fault. Act on causes 02 to 05.
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Cut 2: Answered After 24 Hours
A high discard rate here says almost nothing about the lead and a lot about the queue. The buyer already talked to someone else. Fix routing and SLA before spending another cent on media.
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Cut 3: Never Answered
Leads with no outbound record at all. They are not bad leads — they are leads nobody worked. In most operations this cut is between 15 and 40 percent of the volume the sales team calls junk.
Reading the result:
If cuts 2 and 3 together hold more than half the discards, the lead quality problem is a sales operations problem wearing a marketing costume. Rebuilding the campaign in that scenario burns budget and does not move the closing rate. Whose problem it is when both sides point at each other is its own argument, and it has a page:
marketing blames sales, sales blames the lead.
A lead that sat three days in an inbox and then got a "we received your inquiry" e-mail is not a bad lead. It is a lost sale that the operation reclassified as a marketing failure because that is cheaper than admitting the queue.
04The Order of the Fix
What to fix first, second and third
Order matters because each step makes the next one measurable. Doing them out of sequence means you change three things at once and cannot tell which one worked.
Weeks 1 to 4
Measurement, then routing, then the form. Media last — never first.
Week 1 — make the discard reason mandatory with a closed list of at most five options, and turn on the timestamp of first response. Nothing else. Week 2 — route every inquiry to a named owner with a 2-business-hour SLA, and set a fallback so an unanswered lead escalates instead of ageing silently. Week 3 — add application, estimated volume and deadline to the form, and state the minimum order on the page. Week 4 — only now cut the broad keywords and swap the generic bait for a technical document. By then you have a baseline to compare against, so the change in lead mix is attributable.
What to expect at day 30: total lead volume down 25 to 45 percent, contact rate up, and the sales team stops saying "none of them are any good" and starts saying "this one is out of our range" — which is a specific, actionable sentence. Volume falling is the intended outcome, not a side effect, and the owner has to be told that before week 3 so the drop does not get read as a failure.
Whether that trade is worth it in your specific numbers is discussed at fewer and better leads: when the trade is worth it. For the paid channel specifically, see how to measure Google Ads lead quality.
05FAQ
FAQ
Why does my marketing only bring in leads that never buy? +
Because it is measured by contact volume while the factory sells by volume, application and deadline. A short form with a broad keyword and a generic offer maximises the number marketing is paid on and minimises the information sales needs. Add application, volume and deadline to the form, make the discard reason mandatory, and part of what looked like a bad lead will turn out to be an inquiry answered too late.
How do I know whether the problem is the campaign or the way leads are handled? +
Split the discarded leads by first-response time. If the ones answered within 2 business hours are also discarded at a high rate, the campaign is bringing the wrong audience. If the discards concentrate among leads answered after 24 hours or never answered at all, it is a sales operations problem. In most Brazilian industrial operations the second group holds between 15 and 40 percent of the volume.
Is a lead from a short form always a bad lead? +
No, but it is always an unknown lead, which costs the rep a call to find out. A short form is defensible when someone answers within minutes and qualifies on the phone. It is indefensible when 200 unknown leads a month land in a shared inbox worked by two people. Match the form length to the response capacity you actually have.
Do broad Google Ads keywords bring bad leads in manufacturing? +
They bring mixed intent at a single price. "Stainless steel valve" pays the same per click for the technician who wants one replacement part and the buyer who wants 400. Adding "manufacturer", "supplier" or the application to the term filters at the source and usually costs less per click, because fewer advertisers bid on long technical phrases.
Does an e-book attract a curious reader instead of a buyer? +
A generic e-book does, because reading it costs nothing and commits nobody. Swap it for material that only makes sense to someone with a project in hand: a dimensional sheet, a load or flow table, a technical comparison between two materials, a freight and minimum-order calculator. Same funnel mechanics, a very different population fills it in.
How long does it take for lead quality to improve after the fix? +
The change in lead mix shows up within 30 days of changing the form and the keywords, because it affects who fills in the form from that day forward. The change in closing rate takes one full sales cycle to become visible — in manufacturing that is typically 60 to 120 days. Judging the fix by revenue before one cycle has elapsed produces the wrong conclusion.
Should I fire the agency over unqualified leads? +
Not before checking what the contract asks of them. If it is written in leads per month, the agency is delivering exactly what was bought and a new agency under the same contract will do the same thing. Rewrite the deliverable as qualified inquiries against a written criterion, give them the discard reasons every week, and give it one cycle. If it does not move with the information in hand, then change.
What share of unqualified leads is normal in manufacturing? +
With a qualifying form and defined intent terms, 30 to 50 percent of inquiries falling outside the criterion is normal and healthy — it means the top of the funnel is still wide enough to find demand you did not predict. Above 80 percent something structural is wrong. Below 15 percent the filter is probably so tight it is turning away buyers who would have qualified on the phone.
Want to know which of the five causes is yours?
We pull the last 90 days from your CRM, split the discards by response time and show you in a single meeting whether the problem is the campaign, the form or the queue. No slide deck — your own numbers.
