GrowthStack Advisory / For marketing leaders

Demand generation support for marketing leaders, when sales will not accept your leads.

For the person who is hitting the lead target and still being told the leads are bad. This engagement works on the handover between marketing and sales rather than on the top of the funnel, because that is where the loss usually is, and it is the result GrowthStack has reproduced most often.

The short answer

If sales will not accept your leads, the problem is usually the definition, not the volume. GrowthStack rebuilds the qualification standard from your closed-won and closed-lost deals, enforces it in the CRM as stage definitions and required fields, sets a response time and a fixed follow-up pattern, and adds stage level reporting so lead quality becomes a number both teams agree on. At Locus, that work moved MQL to SQL conversion from 10% to 25%. Your MQL count will fall as fewer leads clear a tighter bar, so agree that with sales leadership before starting.

Why sales rejects marketing's leads

The argument is almost never about a specific lead. It is about a standard that was never written precisely enough to be applied the same way twice. Four things produce it:

The definition was agreed in a meeting, not from data. It describes the customer marketing wants rather than the accounts that actually closed.
It is not enforced anywhere. If the standard does not exist as stage definitions and required fields in the CRM, each rep applies their own, and nobody can tell whose.
Follow up is inconsistent. A lead that is not worked to a fixed pattern gets recorded as a bad lead rather than as an unworked one.
There is no stage level reporting. Without it the conversation is anecdotal, so it is won by whoever is most senior rather than by whoever is right.

None of those are fixed by generating more leads, and all of them are made worse by it.

What actually moves the acceptance rate

The same six pieces, in this order. The first two are the ones that move the number, and the last two are what stop it drifting back.

Rebuild the standard from closed-won and closed-lost. What the accounts that bought had in common, and what the ones that did not also had in common. This is the step that changes the number.
Write it down and enforce it in the CRM. Stage definitions, required fields and the automation behind them, so the standard cannot quietly drift back to whatever each rep prefers.
Set speed to first touch. Measured in minutes for inbound rather than days. Response time decides more of the outcome than message quality does.
Fix the follow up pattern and the exit rule. A defined number of touches across email, phone and LinkedIn, and a written rule for when to stop, so reps are not guessing.
Put stage level reporting behind it. Source, segment and campaign against acceptance and conversion, so the next argument is settled with a number.
Hand it over. The standard, the workflows and the dashboards stay with your team, and your team is trained to run them.

What this has produced

The acceptance and conversion rate is the result that recurs most across the record, in client work and in prior in-house roles:

Easyship, client. Subscription conversions up 20% inside the first month, contributing roughly $100,000 in pipeline. Closing that pipeline sat with Easyship’s own team.
WorkStore, client. Paid media lead qualification from 5% to 30% across two months, on leads arriving from Meta and Google Ads with no structured inside-sales process behind them.
ConvertCart, client. Meeting no-shows from 44% to 15%. The same discipline applied one stage later, between the meeting being booked and it happening.
Locus, prior in-house role. MQL to SQL conversion from 10% to 25%, and lead to closure from 5% to 11%, across a distributed team covering the United States, Europe, the Middle East and Asia.

One of the recommendations on file is from a marketing leader who was Shobhit's client, Tarun Gaur, Head of Marketing and Communications at ISB. The full set sits on the profile page, and the named client work is set out in the case studies.

Who this is for

You are hitting the lead target and being told the leads are bad. The number that needs moving is acceptance, not volume, and the two are often in tension.
You are spending on paid media that fills the funnel and not the pipeline. This was the exact shape of the WorkStore engagement.
Marketing and sales disagree about what a qualified lead is. The disagreement ends when the definition is written from data and enforced in the CRM, and not before.
You cannot say which stage is losing the most. If the reporting is at campaign level rather than stage level, the fix keeps getting aimed at the wrong place.

Who this is not for

You genuinely do not have enough leads. If the top of the funnel is thin, tightening qualification makes the pipeline smaller, not better. Start with demand instead.
MQL volume is the number you are measured on. This work reduces it deliberately. Without sales leadership agreeing to the change first, it will read as a failure in month one.
You want the standard applied without changing the CRM. A definition that lives in a document and not in the system will be back to where it started within a quarter.
You want someone to own demand generation permanently. Engagements end with a handover. If the goal is to outsource the function, an agency is the better fit.

Where this sits next to an agency or your SDR team

A lead generation agency is paid to raise the number of leads. That is the right lever when demand is genuinely short, and the wrong one when the leads already arrive and stall. An SDR team is paid to work what arrives, which does not help if the standard they are working to is the thing that is wrong. This engagement changes the standard, the handling and the reporting, then hands all three to your team.

If you are not sure which of the three you actually need, the eight question diagnostic scores it against your stage and budget, and the full comparison sets out when each one is the right call.

Frequently asked questions

Sales says our leads are bad. Are they right?+

Usually both sides are half right. Marketing is passing leads that meet the agreed definition, and that definition was never specific enough to predict who buys. The fix is not more leads or better copy. It is a written qualification standard, built from who actually closed and who did not, and then enforced in the CRM so it cannot quietly drift back. On named work that moved paid media lead acceptance from 5% to 30% at WorkStore over two months.

We generate enough leads. Is this still relevant?+

Then it is more relevant, not less. If volume is adequate and pipeline is not, the loss is between the lead arriving and it being accepted, worked and progressed. That is the part this engagement addresses: the qualification standard, speed to first touch, the follow up pattern, the exit rule, and the reporting that shows which stage is actually leaking.

How is this different from hiring a lead generation agency?+

An agency is paid to increase the number of leads, which is the wrong lever when the problem is acceptance rather than volume. This engagement is usually the opposite argument: reduce what qualifies, define it more tightly, and make the follow up disciplined. It also ends with a handover, so the standard and the reporting stay with your team.

Will this make my MQL numbers look worse?+

Almost certainly, and that is the point. Tightening the definition means fewer leads clear the bar, so the MQL count falls while the accepted and converted count rises. If MQL volume is the number you are measured on, agree the change with sales leadership before starting, because the first month's dashboard will look like a step backwards.

How fast does the acceptance rate move?+

On the two named inbound and paid engagements it moved inside the first month and across two months respectively. Qualification and follow up changes show up faster than outbound campaigns do, because the demand already exists and only the handling changes.

What if the real problem is our targeting, not our qualification?+

That is a common finding and the diagnostic is designed to tell the difference. If closed-won accounts do not resemble the segments being targeted, the ICP work comes first and qualification follows it, because a standard built on the wrong market just filters faster in the wrong direction.

Do you need access to our CRM?+

Yes, for the diagnostic and for the engagement. The qualification standard is only real once it exists as stage definitions and required fields, and the reporting depends on those being filled consistently. GrowthStack configures this in your instance, which you keep.

What does this cost?+

The GTM Diagnostic is $750 and includes the sales funnel analysis, CRM and process review and qualification review that this work starts from. Ongoing engagements are monthly retainers starting at $2,000, with a 90 day initial commitment recommended and third-party software paid separately.

Inbound converts on four things, and lead volume is not one of them: how fast an enquiry is answered, where it is routed, whether qualified is defined in writing, and whether the team working the leads is coached against that definition. Each has its own guide below.

Engagements start at $2,000 per month, after an optional $750 GTM diagnostic. See how pricing works, what is not included, and the notice terms.

Terms. A 90 day initial commitment is recommended, after which the engagement moves to a monthly model with 30 days’ written notice. Third-party software, data, domains and email infrastructure are paid by you and stay yours, so the engine does not leave when the engagement does. GrowthStack does not guarantee a fixed number of meetings, opportunities or revenue. Full pricing and terms.

Tell us where the funnel leaks

Thirty minutes is enough to tell you whether this is a targeting problem, a qualification problem or a follow up problem, and which of the three is costing you the most.

Book 30 minutes

Where the qualification standard is being enforced by a score rather than by a person, the model itself is worth auditing first: lead scoring that predicts revenue.

Written with AI assistance from Shobhit Gupta’s notes and client work, then reviewed and edited by Shobhit Gupta on 11 October 2026.