What a good case study looks like when a consultant uses done-for-you LinkedIn

By Daniel Okoro, Outreach Tactics. Last updated: 2026-05-29

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Most consultants evaluating done-for-you LinkedIn agencies receive three "case studies" that each say something like "we generated 50 meetings in 90 days" with no client context, no baseline, and no explanation of how the meetings were counted. Those documents cannot predict your outcome, because they were written to prove a point, not to help you make a decision.

A few situations consultants actually find themselves in:

• They ask for case studies and get a PDF with one client quote, a round number, and a logo they cannot verify.
• They want to know whether the results are repeatable for their vertical, their offer, and their deal size, but none of that context appears.
• They are ready to invest in a managed engagement and cannot tell whether the agency's "wins" apply to anyone except the clients the agency chose to profile.

The template below defines what a useful case study looks like and what to look for when one is missing. It works as a vetting framework for any agency and a brief for the agency you choose to produce one for your own engagement.

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What questions should a case study actually answer?

A useful case study answers one master question: could a buyer who reads this document predict their own outcome from it?

That test rules out most of what agencies publish. If you read the case study and still cannot tell whether the results apply to your vertical, your offer price, your prior outreach history, or your timeline, the document fails the test. It is written as proof, not as a decision aid.

Five sections make a case study defensible. Agencies that skip any one of them are presenting a press release. The five sections are:

1. Problem (the consultant's specific situation before the engagement)
2. Baseline (the pipeline numbers before the agency started)
3. Intervention (what the agency did, in operational specifics)
4. Outcome (the measured results, in the right metrics)
5. Attribution (what the consultant brought, what the agency owned, and the counterfactual)

Each section pairs with a red flag that signals the case study is decorative rather than defensible.

The companion question for any consultant evaluating agencies is how many cases they can produce on request. One polished case study is a marketing asset. Five or more, spanning different verticals and offer sizes, is evidence of a repeatable system. The safe DFY LinkedIn provider checklist covers the full evaluation framework; this post focuses on the case study specifically.

What was the consultant's situation before the engagement?

Section 1 is the Problem statement. Detail required: the consultant's vertical, the revenue band or deal size, the prior outreach motion (DIY posting, SDR, prior agency, or none), and the specific reason that motion failed.

A worked example of a strong Problem statement: "Fractional CFO, served PE-backed B2B SaaS founders, had been publishing on LinkedIn weekly for 18 months with sporadic inbound. No outbound motion. Pipeline depended entirely on referrals averaging two to three per month."

That statement is specific enough to tell a consultant whether the situation resembles their own. A Fractional CFO with a referral-only pipeline can immediately assess whether the case study applies.

The red flag: a Problem statement that could describe any consultant. "Our client was an experienced B2B consultant looking to grow their pipeline" is not a Problem statement. It is a placeholder. It tells you nothing about whether the results will generalize to your situation.

The upstream question of whether to delegate LinkedIn outreach at all is covered in should consultants do their own LinkedIn outreach. If you are still weighing the DIY option, start there.

What were the baseline numbers?

Section 2 is the Baseline. Without it, the Outcome is uninterpretable. Forty booked meetings means something different for a consultant who had zero outbound meetings in the prior quarter than for one who had fifteen through a previous agency.

Detail required: pipeline metrics before the engagement started, specifically meetings per month, qualified-call rate, time spent on prospecting weekly, and the opportunity cost of that time.

A worked example: "Baseline: two to three referrals per month, zero outbound meetings, approximately five hours per week the consultant spent on LinkedIn posting and manual DMs. At a billing rate of $450/hour, that five hours represented roughly $2,250 of prospecting cost per week before the engagement."

That baseline frames the Outcome in economic terms the consultant can use. It also makes the agency accountable: if the baseline is published, the outcome can be compared against it.

The red flag: no baseline at all. An agency that publishes "after working with us, the consultant booked 30 meetings" without stating where the pipeline started is asking you to accept a number without context. Drop the number from your evaluation and ask for it directly. If the agency says it is confidential, ask for a percentage improvement. If they cannot provide either, the result is not verifiable.

What was the intervention?

Section 3 is the Intervention. This is where most agency case studies collapse into marketing language. "We ran our proven LinkedIn system" and "we applied our proprietary outreach methodology" are not descriptions of an intervention. They are descriptions of a black box.

Detail required: the ICP filter logic (title, function, company size, geography, revenue band), the sequence structure (number of steps, timing, message length and tone), the daily cadence (important for safety reasons, covered below), who was responsible for what, the tools used including whether the platform runs on a verified API or browser automation, and how long onboarding and list-building took before campaigns went live.

The verified-API distinction matters specifically for consultants, whose brand is the product. Browser-automation tools simulate clicks inside your LinkedIn session and carry meaningful ban risk. A verified API integration runs through LinkedIn's sanctioned channel. The difference is architectural before it is behavioral. The why browser automation agencies get accounts banned breakdown covers the mechanics in full.

A worked example of a strong Intervention: "Reachium DFY engagement. ICP filter: PE-backed SaaS founders, $5M to $50M revenue, North America. Three-step sequence written in the consultant's voice, reviewed and approved before launch. Cadence set at 15 invites per day, calibrated to the acceptance-peak range Reachium's platform data shows for accounts sending 10 to 19 invites per day. Verified API integration. Campaigns live in week three of onboarding." [REACHIUM CLAIM, PLATFORM]

The red flag: any description that omits the tools used, the cadence, or the ICP filter logic. If you cannot tell from the case study whether the agency sent 15 invites per day or 150, you cannot evaluate their safety record or their targeting precision.

What were the measured outcomes?

Section 4 is the Outcome. Consultants should look for a specific set of metrics in this order: meetings booked, qualified-call rate, show rate, opportunities created, deals closed (if attributable), time-to-first-meeting, and total length of the engagement window.

Vanity metrics in this section are a red flag in their own right. Connection accepts, impressions, and "responses" are not outcomes for a consultant evaluating pipeline impact. Booked meetings, qualified rate, and closed deals are.

A worked example: "Months one through three: 8, 12, and 14 booked meetings respectively. Qualified rate: 65% (defined as the consultant willing to advance to a proposal conversation). Show rate: 75%. Three new engagements signed at an average of $15,000 per month. Time-to-first-meeting: 26 days from campaign launch."

That example gives you enough to model your own return. At $15K per engagement and three signed in 90 days, the ROI math is visible. The how one B2B team booked 47 meetings on LinkedIn post shows what fully documented outcome data looks like in practice for a B2B operator at scale.

For a consultant wondering how long to expect before results appear, the done-for-you LinkedIn cost breakdown includes the full timeline model alongside the cost frame.

The red flag: vanity metrics only. An agency reporting "we generated 400 profile views and 90 connection accepts" for a consultant's engagement is reporting activity, not outcome. Ask explicitly: how many meetings were booked, and how many were qualified?

How is attribution actually handled?

Section 5 is the Attribution section, and it is the one most agency case studies omit entirely. Its absence is the strongest signal that a case study was written to market the agency rather than to help you make a decision.

Attribution has three components:

What the consultant brought: the offer clarity, the profile credibility, the prior brand, and the willingness to approve and iterate on copy. An agency cannot manufacture demand a buyer does not already have. A well-positioned fractional CFO with a credible LinkedIn profile and a specific offer will see meaningfully different results than one with a vague positioning and a thin profile.

What the agency owned: the list-building and ICP targeting logic, the copy and sequence structure, the cadence management, the triage of replies, and the hand-off to the consultant's calendar.

The counterfactual: what would not have happened without the engagement. A great agency writes this explicitly. "The consultant's referral pipeline was averaging two deals per quarter. The three engagements signed in month three came entirely from outbound-sourced contacts with no prior relationship, representing a net-new revenue channel." That sentence makes the agency's contribution visible and honest.

The honest sentence great agencies write and average agencies dodge: "These outcomes depended on the consultant's offer, prior brand, and responsiveness to leads. An agency cannot manufacture demand a buyer does not have."

The red flag: sole credit. Any case study that attributes the outcome entirely to the agency, without naming what the consultant brought, is either describing an unusually passive client or hiding the attribution gap. Both are problems.

What are the red-flag patterns across the whole case study?

Seven patterns across a full case study signal that the document is decorative rather than defensible:

No client name and no verifiable role. Confidentiality is legitimate and often expected for high-ticket consultants. But if the role is also generic ("a B2B consultant in professional services"), confidentiality has replaced information rather than protected it. A strong confidential case study names the vertical, the deal size, the prior motion, and the outcome in enough detail to be comparable.

Round numbers everywhere. Real data has ratios and partial numbers because it comes from a messy system. Manufactured data has clean totals. "50 meetings in 90 days" with a 65% qualified rate should produce 32.5 qualified calls, not 30 or 35. If every number in the case study divides cleanly, the data was estimated rather than measured.

Only quotes, no supporting data or screenshots. Quotes are the easiest thing to produce without real data. A genuinely documented engagement has booking calendar screenshots, sequence analytics, or platform reporting to accompany the narrative. Reachium-style engagements include actual booking data from the platform's reporting dashboard; their absence alongside a strong quote is worth noting. [REACHIUM CLAIM]

No mention of attribution or counterfactual. Covered above. The absence is the flag.

No baseline. If the case study has an outcome but no starting point, the outcome is not interpretable.

Cadence not mentioned. If you cannot tell from the case study whether the agency was sending 15 invites per day or 150, you cannot evaluate whether the results came from precision targeting or volume spray, and you cannot evaluate the safety record.

"We" language throughout. A case study written entirely from the agency's perspective, with the consultant framed as a passive recipient, is a press release. A defensible case study treats the consultant as the protagonist and the agency as the operational partner.

The LinkedIn agency red flags post has the full checklist for evaluating agencies before you engage, not just their case studies.

FAQ

Should the consultant be named in the case study?

Not necessarily. Confidentiality is standard for high-ticket engagements, and many consultants prefer their LinkedIn outreach operations remain private. What matters is that the role, vertical, deal size, and prior pipeline state are specific enough to be comparable. A case study that protects the client's name but specifies "Fractional CFO, PE-backed SaaS, $5M to $50M revenue, referral-only pipeline baseline" is more useful than one that names the client but omits all context.

What if the agency says the outcome numbers are confidential?

Ask for percentage improvements rather than absolutes. "Meetings booked increased 4x over the engagement window" is verifiable in relative terms even when absolute numbers are protected. If the agency cannot provide either an absolute number or a directional percentage, the result is not documented. Walk away or weight it accordingly.

How should "qualified" be defined for a consultant's pipeline?

Define it before the engagement starts and get it into the case study. A reasonable definition for a high-ticket consultant is: the contact had a defined problem the consultant solves, a relevant title and company size, and the willingness to advance to a proposal conversation. Show rate is a related metric: of qualified calls booked, how many actually showed up. A qualified rate of 65% and a show rate of 75% together tell you something meaningful about lead quality. A show rate under 50% usually signals ICP misalignment, a topic the consultant-linkedin-booked-no-shows post covers directly.

Can the consultant write the case study themselves and ask the agency to verify it?

Yes, and this is often the better model. The consultant knows their own business outcomes more accurately than the agency's reporting does. A reasonable workflow: the consultant drafts the five sections from their own records, the agency reviews the Intervention section for accuracy and adds their platform reporting data (booking screenshots, sequence analytics), and both sign off on the final document. The result is more credible than either party writing alone.

How many case studies should an agency be able to produce on request?

One polished case study is a marketing asset. Five or more, spanning different verticals, offer sizes, and engagement lengths, is evidence of a repeatable system. If an agency can only produce one, ask whether the result was repeatable or exceptional. If they cannot produce any, the absence tells you everything. Ask during the sales conversation, before you sign.

Sources

• Reachium - verified-API DFY LinkedIn engagement, 60-day meeting guarantee
• Linked Insider: Should Consultants Do Their Own LinkedIn Outreach?
• Linked Insider: Done-for-You LinkedIn Cost
• Linked Insider: LinkedIn Agency Red Flags
• Gartner: B2B Buyers Prefer a Rep-Free Experience
• Brixon Group: Compelling Case Studies in B2B