B2B marketing case studies usually put their best number in the headline. That number alone cannot be repeated. It does not tell you who was targeted, what the denominator was, how long contracts took, or whether customers ever became active.

Read a case not by views, lead count, or logos, but by which population moved through which stage, at what rate and speed, and whether the resulting customers activated, renewed, and expanded economically.

Draw a Common Pipeline First

Exposure → identified account → engaged contact → qualified lead or account → opportunity → closed-won → activated → retained → expanded

Salesforce describes a sales pipeline as a structure for tracking opportunities through stages. HubSpot lifecycle stages includes defaults such as Subscriber, Lead, MQL, SQL, Opportunity, and Customer. The same label can mean something different in every company, so verify definitions before comparing numbers.

Ten Questions for Reading a Case

Question	Why It Matters	Risk When Missing
Who was targeted, and over what period?	Defines population and cohort	Generalizes results to the entire market
What was the pre-campaign baseline?	Shows incremental change	Attributes existing growth to the campaign
How were Lead, MQL, SQL, and Opportunity defined?	Terms vary by organization	Makes stage metrics incomparable
What is the denominator at each stage?	Enables conversion math	Lets large absolute numbers mislead
Which channel sourced or influenced the opportunity?	Separates creation from contact	Overstates the last click
What did sales and product contribute?	Identifies non-marketing variables	Credits all revenue to marketing
How long did conversion take?	Shows velocity and cash timing	Highlights only slow large contracts
What were CAC and execution cost?	Tests economics	Shows revenue without profitability
Did customers activate and retain?	Tests revenue quality	Hides bad revenue created by discounting
Was there a comparison or historical cohort?	Improves causal interpretation	Ignores seasonality and market change

Metrics to Reconstruct

Stage conversion = next-stage count ÷ previous-stage count
Win rate = closed-won ÷ qualified opportunities
Pipeline value = sum of opportunity value × stage probability
Sales velocity ≈ opportunities × average contract value × win rate ÷ average sales cycle
CAC = sales and marketing cost for the cohort ÷ new customers
CAC payback = CAC ÷ monthly gross profit per customer
Activation rate = new customers completing the core value event ÷ new customers

Check whether stage probabilities in pipeline value are calibrated from historical data. More important than the formulas is consistent accounting and attribution windows across the organization.

Case Deconstruction Table

Stage	Starting Count	Next Count	Conversion	Time	Main Loss Reason	Owner
Exposure→identified account						Marketing
Identified→engaged						Marketing and SDR
Engaged→qualified						SDR and sales
Qualified→opportunity						Sales
Opportunity→contract						Sales and procurement
Contract→activated						Customer success and product
Activated→retained and expanded						CS, product, and sales

Re-read a Hypothetical Webinar Case

The following numbers are synthetic:

2,000 invited accounts
300 registered accounts
180 attending accounts
45 follow-up meetings
18 qualified opportunities
4 contracts
$120,000 in total contract value
3 activated within 90 days and 1 remained inactive
$40,000 including webinar, content, and SDR cost

The campaign may still claim “$1 million in pipeline.” But was that the sum of opportunity values, was probability applied, and did it include existing opportunities? Closed-won revenue, activated contracts, gross profit, cycle time, and prior pipeline influence are still required.

Separate Sourced and Influenced

Sourced: Under the organization’s agreed rule, the channel or campaign first created the opportunity.
Influenced: A meaningful contact occurred while an existing opportunity was already progressing.

Influenced revenue is easily assigned to several touchpoints at once. Do not combine it with sourced revenue. Disclose the attribution window, weights, and deduplication rules.

Perfect causal attribution is difficult in multi-touch B2B buying. “Marketing created the contract” is less testable than which stage bottleneck changed, by how much, before and after the work.

Reproducibility Checklist

Element	More Reproducible	Less Reproducible
ICP	Narrow and explicit	“Every business”
Trigger	Observable event	General interest
Offer	Repeatable entry offer	Celebrity or one-time discount
Process	Stages, owners, and time visible	Heroic individual relationships
Economics	Cost, conversion, and retention included	One revenue or lead figure
Evidence	Cohort, baseline, and period	Curated interviews only

Public evidence is rarely enough to declare that a specific company exaggerated its case. The objective is not lie detection. It is finding the missing fields required for your next decision.

A useful success story is not the one with the largest outcome. It is the one whose stages, denominators, time, and cost can be reconstructed.