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NDA-Protected Case Studies · Real Results

Anonymized Wins From the MV3 Book of Business.

Every engagement runs under mutual NDA. We share problem, solution, and outcome detail. Client names and identifying quotes stay confidential unless mutual sign-off. Numbers below are verified from live CRM, GA4, and GSC data.

45+
Case studies on file
18
B2B industries covered
6
Service categories
Case Study Library Access
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Composite results by service line. Delivered as a single PDF. No sales call required, we’ll follow up only if you ask.

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Quick Answer
Why are MV3 case studies anonymized?

MV3 Marketing operates under mutual NDA with every client. We share the problem statement, the solution architecture, and the outcome numbers, verified from live CRM, GA4, and Google Search Console data, but never company names, logos, screenshots that identify the client, or attributed quotes without written consent. Each tile below is a composite of one real engagement. If you’d like to see the un-redacted version, we walk through it on a discovery call under mutual NDA.

Instant Proof

45 Anonymized Case Studies. Six Service Lines. One Playbook.

Numbers below are averaged across the library. Individual results vary by ACV, sales cycle, and existing pipeline density. Every metric traceable to CRM or analytics source of truth.

3.1x

Median pipeline lift, Growth AI cohort, first 6 months

52%

Average reduction in cost per opportunity

21 days

Median time from kickoff to first booked meeting

12

Categories of outcome we publish, from GEO citations to closed revenue

What’s Inside Every Case Study

A Uniform Format. Anonymized. Verified. Reproducible.

Every case study on file follows the same 6-block structure. Problem, ICP, plan, deliverables, results, and lessons. Everything you’d ask a peer to describe if they’d run the same play.

Composite Company Profile

Industry, stage, employee count, ACV band, and geo. No logos, no domain names.

Problem Statement

The exact business pain (pipeline stall, ranking loss, AI-citation gap, CAC inflation).

ICP + Discovery Findings

What our audit surfaced during onboarding, from technical SEO gaps to sales-cycle bottlenecks.

Solution Architecture

Which service lines fired (SEO, ABM, GEO, Paid, RevOps), sequenced across the engagement.

Verified Outcomes

Numbers pulled from CRM, GA4, GSC, or Ahrefs, with the source cited beside each metric.

Lessons + What We’d Change

What worked, what didn’t, and how the plan would evolve for a similar client next time.

How We Publish Case Studies

Strategy: What Gets Anonymized. Implementation: How We Prove Every Number.

Strategy

What We Redact, and Why.

Under mutual NDA we protect four categories: client name and domain, employee headcount within 20%, ACV within a $5K band, and any quote that would identify a person. Everything else, including industry, funding stage, competitive set, and every outcome number, is on the record.

  • Client name, domain, and logo (always redacted)
  • Employee count (bucketed to nearest 20)
  • ACV (bucketed into $5K bands)
  • Attributed quotes (composite only)
  • Geo (bucketed to region, not city)
Implementation

How Every Number Is Verified.

Every metric is pulled from a first-party source (CRM, GA4, GSC, Ahrefs, or ad platform) and cited beside the claim. We do not publish estimates, "projected" numbers, or attribution modeled without the client’s sign-off on the model.

  • Pipeline dollars from HubSpot or Salesforce reports
  • Ranking data from GSC Search Analytics API
  • GEO citations from ChatGPT, Perplexity, Gemini logs
  • Traffic and conversion from GA4 explore reports
  • Ad spend and CPO from Google Ads or LinkedIn Campaign Manager
Editorial Commitments

Three Rules That Govern Every Case Study We Publish.

Editorial Rule

NDA First, Publication Second

No client name, logo, or identifying quote appears anywhere without written consent. Redaction happens before draft one, not after review.

Editorial Rule

Sourced or Removed

Every number cites a first-party system of record (CRM, GA4, GSC, Ahrefs, or ad platform). If we can’t cite the source, the number does not ship.

Editorial Rule

Client Sign-Off Before Live

Every case study, redacted and un-redacted alike, is reviewed by the client marketing lead before it goes live. Objections revert the tile within 24 hours.

Sample Case Study Layout

What A Full Case Study Looks Like When You Open One.

Preview of the format. Every tile in the grid below opens to a page with this structure.

mv3marketing.com/case-studies/sample
Sample Case Study · Anonymized

B2B SaaS, Series C. From 12 SQLs a Month to 47 in 90 Days.

Industry
B2B SaaS · MarTech
Stage
Series C, 170 employees
ACV
$45K bucket
Services
ABM · Paid Media · RevOps
Timeline
90 days
Verified Outcomes
SQLs per month 12 47 +292%
Pipeline created $310K $1.6M +416%
CPO $2,850 $1,340 -53%
Closed revenue $95K $540K +468%
Source: HubSpot pipeline report, Q1 vs baseline Q4.
Methodology

How Every Case Study Gets Built, Verified, and Published.

Five steps. Repeated for every engagement we conclude. Client controls the final publication.

01
Engagement Wrap

Program closes or hits a milestone. Our team pulls raw metrics from CRM, GA4, GSC, and ad platforms into a single sheet.

02
Redaction Pass

We strip client name, domain, headcount, and identifying quotes. Composite substitutes drafted for each redacted field.

03
Source Verification

Every number gets a first-party source citation. If a metric can’t be cited, it is removed, never estimated.

04
Client Sign-Off

Client marketing lead reviews the redacted draft. Any objection reverts the tile inside 24 hours; approvals archived.

05
Publish + Refresh

Tile goes live on this hub. Refreshed quarterly if the engagement is still active, otherwise annually.

Composite Outcome · Scale AI Cohort

We’d run three agencies over four years before MV3. The difference wasn’t creativity, it was that the case study numbers matched what showed up in Salesforce. When our board asked to see the source data, MV3’s team walked them through GSC and HubSpot on a live screen share. That’s not something we’d seen before.

Head of Marketing, Series C B2B SaaS
$28M ARR, 220 employees. Composite of 5 Scale AI accounts. Individual results vary.
4.2x
Pipeline vs prior agency
61%
Lower cost per opportunity
14 days
To first booked meeting
$3.8M
Weighted pipeline, Q1
The Case Study Library

24 Anonymized Tiles. Filter By Service Line.

Every tile below links to a full case study page. Numbers are verified from first-party sources.

Anonymized
SEO · GEO
FinTech, Enterprise
Series D, 320 employees

From 4 to 62 GEO citations across ChatGPT and Perplexity in 90 days.

+1,450%
GEO citation lift
Read the case →
Anonymized
GEO · Content
WealthTech
Series B, 65 employees

GEO citation share jumped from 0 to 38% on 12 target queries.

38%
share of AI mentions
Read the case →
Anonymized
SEO · Technical
Embedded FinTech API
Growth stage, 90 employees

Non-brand organic sessions +186% and 22 top-3 rankings gained.

+186%
organic sessions
Read the case →
Anonymized
pSEO · SEO
Vertical SaaS, Legal
Series B, 110 employees

pSEO program shipped 2,400 city pages, 71 hit top-10.

2,400
pages ranked
Read the case →
Anonymized
Technical SEO
Cybersecurity
Series C, 240 employees

Multi-region site architecture reclaimed EU + APAC traffic.

+94%
EU + APAC sessions
Read the case →
Anonymized
ABM · LinkedIn Ads
Cybersecurity SaaS
Series B, 85 employees

500-account ABM produced $2.3M weighted pipeline in Q1.

$2.3M
weighted pipeline
Read the case →
Anonymized
ABM · Outbound
Treasury Management
Series C, 150 employees

ABM sequenced 480 CFO-level accounts, 41 opps stage 2+.

41
stage-2 opps
Read the case →
Anonymized
ABM · Paid
MarTech Platform
Series B, 170 employees

1,120 accounts sequenced, $3.1M pipeline in one quarter.

$3.1M
Q1 pipeline
Read the case →
Anonymized
RevOps · ABM
B2B SaaS, Enterprise
Series D, 400 employees

Inbound routing rebuilt, SDR touch time -68%.

-68%
routing latency
Read the case →
Anonymized
ABM · Outbound
LegalTech Lending
Series A, 45 employees

Outbound to 380 firms, 18 meetings booked in 30 days.

18
meetings, 30 days
Read the case →
Anonymized
Paid · Analytics
HR Tech
Series B, 130 employees

Paid mix rebalanced, CPO dropped 47% while spend held flat.

-47%
cost per opp
Read the case →
Anonymized
LinkedIn Ads
FinTech
Series A, 32 employees

LinkedIn matched-audience produced $860K pipeline in Q1.

$860K
Q1 pipeline
Read the case →
Anonymized
LinkedIn Ads
DevTools
Series B, 90 employees

LinkedIn creative rotation lifted CTR from 0.9% to 2.6%.

2.6%
CTR, up from 0.9%
Read the case →
Anonymized
LinkedIn Ads
HR Tech, Enterprise
Series C, 260 employees

LinkedIn ABM ads cut CAC 39% across 4 personas.

-39%
CAC
Read the case →
Anonymized
PLG · Content
DevTools SaaS
Series A, 28 employees

PLG activation rewrite lifted PQL rate from 3% to 14%.

14%
PQL rate, up from 3%
Read the case →
Anonymized
Content
FinTech, Payments
Series B, 105 employees

Content pipeline produced 42 briefs and 38 posts in 6 months.

38
shipped posts
Read the case →
Anonymized
PLG
MarTech, PLG
Series C, 190 employees

PLG funnel rebuild lifted trial-to-paid 2.4x.

2.4x
trial-to-paid
Read the case →
Anonymized
Content · PLG
FinTech SaaS
Series B, 80 employees

Activation flow rewrite lifted DAU 3.1x in 60 days.

3.1x
DAU lift
Read the case →
Anonymized
GA4 · RevOps
B2B SaaS, Analytics
Series C, 210 employees

GA4 rebuild + attribution model resolved 63% of "unknown" traffic.

63%
attributed traffic
Read the case →
Anonymized
RevOps · Analytics
B2B SaaS, Multiple
Series B, 140 employees

Lead scoring model rebuilt, MQL-to-SQL conversion 4.1x.

4.1x
MQL-to-SQL
Read the case →
Anonymized
RevOps · AI Ops
B2B SaaS, Support
Growth, 60 employees

AI-assisted triage cut first-response time from 4h to 22min.

22 min
first response
Read the case →
Anonymized
Analytics
FinOps Platform
Series B, 110 employees

Attribution rebuild recovered $420K in mis-attributed pipeline.

$420K
recovered pipeline
Read the case →
Anonymized
Vertical SaaS pSEO
LegalTech Vertical SaaS
Series A, 55 employees

Vertical SaaS content hub ranked for 340 practice-area queries.

340
ranked queries
Read the case →
Anonymized
Vertical SaaS
PE-owned Vertical SaaS
PE-backed, 380 employees

Two-brand SEO strategy grew combined organic 118%.

+118%
combined organic
Read the case →

Client identities withheld per mutual NDA. Individual results vary. Full un-redacted walk-through on a discovery call.

Library Aggregate

The Numbers, Rolled Up Across All 45 Studies.

Every metric traceable to a first-party source. Trailing 24 months of engagements, no lookback beyond that.

$47.2M

Cumulative weighted pipeline generated across the library

1,840

SQLs booked across ABM and Growth AI cohorts

218

GEO citations gained across ChatGPT, Perplexity, Gemini

12,400

Non-brand organic ranking movements (top-10 gains)

Trailing 24 months. Source: aggregate of client CRM, GA4, GSC, Ahrefs, and ChatGPT / Perplexity / Gemini citation trackers.

Entry Offer · See A Case Study Live
$997 one-time

GEO Audit · 5-day delivery · Credited to first month if you sign a retainer inside 30 days.

  • Full GEO audit of your target queries across ChatGPT, Perplexity, Gemini
  • Competitor citation share benchmark (top 5 competitors)
  • Technical remediation roadmap: schema, entity, content gaps
  • Delivered as branded PDF + live walk-through call
  • 90-day roadmap to close the citation gap
  • Case study library PDF (45+ studies) included at delivery
Start With The GEO Audit →

Prefer to jump straight to a retainer? Book a discovery call and skip the audit.

Qualifier

Who The Case Study Library Won’t Convince.

If any of the profiles below match, save yourself the discovery call. We’ll point you to a better fit before we quote you.

  • ×
    You want named client logos on our home page

    Every MV3 engagement runs under mutual NDA. If your evaluation depends on seeing a logo wall, we’re not the right fit. Every peer of ours who publishes logos either does so without permission or works with clients who allow it, and both categories skew away from B2B enterprise.

  • ×
    You want case studies with attributed quotes and headshots

    See above. All quotes are composite, all avatars are initials, all metrics are cited to first-party sources. If a quote from a named CMO is your buying trigger, request a reference call once we’re both under NDA.

  • ×
    You’re evaluating agencies purely on published social proof

    Our case study library is a lagging indicator. The leading indicator you actually want is a live walk-through of a similar engagement, which we’ll do on a discovery call inside 30 minutes.

  • ×
    You’re pre-revenue or pre-product

    Case studies here reflect programs that ran against real pipeline, real ad spend, and real ranking data. If you’re still in problem-fit discovery, spend money on customer interviews first, then come back.

  • ×
    You want a case study specific to your exact competitor

    We share adjacent industry outcomes on a discovery call. Direct-competitor case studies are always covered by NDA and we do not walk them through in an evaluation cycle.

Frequently Asked

What Buyers Ask About Our Case Studies.

Why aren’t client names published?
Every MV3 engagement runs under mutual NDA by default. Anonymization protects both parties: our clients avoid competitive intelligence being handed to their rivals, and we avoid a two-year publication approval cycle that would gut the library. If a client wants their name on a case study, we support it, but the default is composite.
Are the numbers real?
Yes. Every metric is pulled from a first-party source (CRM, GA4, GSC, Ahrefs, LinkedIn Campaign Manager, or Google Ads). No estimates, no projections, no modeled attribution unless the model is signed off by the client and cited beside the number.
Can I see an un-redacted case study?
On a discovery call, yes, under mutual NDA. We walk through the exact engagement including client identity, live dashboards, and the full metric set. That call takes 45 minutes and is offered inside our audit-to-retainer motion.
How many case studies does MV3 have on file?
45 published on this hub, refreshed quarterly. Roughly 60 additional engagements have concluded but the client has not yet signed off on a redacted publication. Full library, redacted and un-redacted, is walked through on request.
What industries are covered?
B2B SaaS is the largest bucket (28 studies), followed by FinTech and HR Tech. Vertical SaaS, DevTools, MarTech, Cybersecurity, Industrial, Legal, and Wealth Management each have 2 to 5 studies on file. If your industry is not covered, we’ll share the closest adjacency on a discovery call.
Which service line has the most case studies?
SEO and GEO combined: 12 studies. ABM and Outbound is second at 9, followed by Content and PLG at 8. Paid Media has 7, Analytics and RevOps has 6, Vertical SaaS pSEO has 3. Individual studies often span multiple service lines.
How do I download the full library as a PDF?
Fill in the form at the top of this page. We send a single PDF containing every published case study, plus a directory of adjacencies we can walk through on request under NDA. No sales call required.
What’s the fastest way to see if MV3 is a fit?
Start with the $997 GEO Audit. Five-day delivery, includes the case study library PDF, and the $997 is credited to your first retainer month if you sign inside 30 days. Or book a discovery call directly.
Vance Moore, Chief Growth Officer, MV3 Marketing
Editorial Lead
Vance Moore · Chief Growth Officer, MV3 Marketing

Vance oversees the MV3 team of SEO professionals, engineers, and auditors. Every engagement is delivered by our team; Vance signs off on every deliverable and reviews every audit. The case study library is edited by our team and reviewed for source citation before publication.

Full library available as a single PDF

Skip the Marketing Copy. Get the Numbers.

45 anonymized case studies. Every number cited to a first-party source. Sent as one PDF, no sales call required.

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