B2B lead generation on LinkedIn that stops paying for leads who never buy

My fee is $700 per month, flat, with no setup fee. It covers a leak analysis of Campaign Manager and tracking, the fixes, running your campaigns, A/B testing, monitoring with a weekly written report, and monthly optimization. LinkedIn media and CRM subscriptions are extra. Typical agency retainers often run $2,500 to $15,000 a month, or 10 to 20% of ad spend.

No. LinkedIn bills you directly through a Campaign Manager account you own, and that budget sits outside my fee. Since the $700 never rises with spend, I can recommend narrowing audiences or cutting a campaign at no cost to me. I name no required budget; the audit says whether your numbers can support LinkedIn.

No. Optimize Goal is one specialist, Aditya Singh, working directly in your Campaign Manager account. You get one person who knows the account, with no retainer tiers and no handoff after the pitch. The limit is scope: LinkedIn and the funnel behind it, not brand campaigns, events or a content program.

I do. Campaign builds, audience exclusions, creative tests, tracking fixes and the weekly report are all mine, and you deal with me directly. I check spend and tracking daily, so a broken form or a runaway audience gets caught early. To keep that attention I take on 2–3 new brands a month.

There is no contract and no setup fee. The plan renews monthly and you can cancel in any month. You own the Campaign Manager account, audiences, matched lists, creative and CRM data from day one, so nothing has to move if you leave.

Written findings arrive within 48 hours of the call and structural fixes go in inside 2 weeks. Lead-quality signals usually show between 30 and 60 days as qualification data builds, and pipeline follows your sales cycle, so closed-won attribution appears when your deals close. I promise no figure.

Only if you also run a Shopify store. Every Optimize Goal Shopify app is included free while you are a client, but the apps apply to Shopify stores only, so for B2B lead generation they are a side note. The LinkedIn work does not depend on them. Together they are worth $1,000.

It lasts 30 minutes. I go through your Campaign Manager targeting, formats, offers and whether leads can be followed into the CRM, then send written findings within 48 hours covering the leaks, the first fixes and whether the monthly plan fits. You need Campaign Manager access and a rough ICP, not a deck.

LinkedIn is the wrong channel for low-ticket or impulse purchases, where the click price can never be earned back, for budgets too small for campaigns to finish learning, and for companies with no CRM to measure against. Do not hire me for a guaranteed lead count, a brand campaign or a site rebuild first. The audit says so plainly.

Cost per SQL is what you paid in advertising for each lead that sales accepted as qualified, not each form submission. Optimizing to cost per lead pushes campaigns toward whoever fills forms most cheaply, which on LinkedIn tends to mean students, job seekers and people outside your market. Cost per SQL needs qualification outcomes imported from the CRM.

Ask each four things: what bidding optimizes toward, how qualified stages return to Campaign Manager, whether the fee is flat or a share of ad spend, and who does the work after the pitch. A LinkedIn advertising agency unable to answer the second is optimizing to form fills. One specialist on a flat fee suits accounts needing leaks fixed first.

Lead Gen Forms usually produce a lower cost per lead because they pre-fill from the member's profile and never leave the feed. The same lack of friction admits people who were mildly curious. Landing pages cost more per lead and qualify harder. I test both against cost per SQL, since the answer differs by offer.

You upload target account and contact lists as matched audiences, then layer seniority and function filters so spend concentrates on the buying committee inside companies you already want. Messaging is sequenced by role, since the economic buyer and the technical evaluator care about different things. It pays off with a researched list, not an aspirational one.

Three levers, in order of impact. First, optimize to qualification outcomes imported from the CRM so bidding stops chasing cheap form fills. Second, fix the offer, since a problem-specific offer draws people who have the problem. Third, tighten targeting to the seniority and functions that buy, and exclude the student and job-seeker segments.