Case Study | Attribution and CRM

How a Mid-Market Company Repaired Attribution and CRM Handoff

BiViSee helped an anonymized mid-market company reconnect marketing activity with CRM opportunity data, repair the handoff to Sales, and make pipeline reporting more useful for growth decisions.

91% of opportunities had valid acquisition context, up from 54%
Median lead-assignment time fell from 17 hours to 2.8 hours
Monthly pipeline reporting time fell from two days to three hours

Executive Summary

The company had marketing analytics, a CRM, and regular pipeline reporting, but those systems did not tell the same story.

Source values were inconsistent, lifecycle stages were used differently across teams, and important campaign or conversion context disappeared before a record reached Sales.
Leadership could see activity and closed revenue, but the path between them was unreliable.

BiViSee diagnosed the problem as an attribution and CRM handoff constraint rather than a dashboard problem.
The engagement repaired tracking rules, field governance, lifecycle definitions, routing logic, and reporting from the original touch through opportunity creation.

Client Context

The client was an anonymized mid-market company with multiple acquisition channels and a multi-step B2B buying process.

Marketing needed to understand which channels and conversion paths created qualified pipeline.
Sales needed enough context to prioritize and continue each conversation.
Leadership needed a consistent view of pipeline contribution without reconciling spreadsheets before every review.

The central question was:

Can we trust the path from marketing source to CRM opportunity well enough to make budget and pipeline decisions?

The starting constraint was broken continuity between analytics and the CRM

Starting Constraint

The gap appeared at several handoff points:

UTM and source values were overwritten, duplicated, or reduced to “direct”.
Form submissions did not always carry page, offer, campaign, or intent context.
Lifecycle and opportunity stages lacked shared entry and exit rules.
Duplicate records separated activity from the account or opportunity.
Dashboards mixed lead creation, influence, and opportunity creation without clear attribution definitions.

Baseline Metrics

Baseline:

The baseline was a field-level and record-level audit of 2,186 inbound records and 164 opportunities created during the six months before implementation.

Required-field completeness by source and form

Percentage of records with an attributable original source

Time from inbound conversion to assignment and first Sales action

Duplicate and unmatched contact/account rates

Agreement between analytics conversions, CRM records, and opportunity reports

Only 54% of opportunities had a valid original source, campaign, and conversion-path record.
Required handoff fields were complete on 63% of inbound records.
Median time from form submission to owner assignment was 17 hours, and duplicate or unmatched records represented 12% of the audited cohort.
Monthly analytics-to-CRM reconciliation showed a 23% variance, while preparing the leadership pipeline report took roughly two working days.

Diagnosis

BiViSee identified five connected causes:

Tracking inconsistency

Acquisition metadata was collected differently across pages and platforms.

Field governance gaps

Teams lacked a shared data dictionary and ownership rules.

Lifecycle ambiguity

Marketing and Sales used similar stage labels for different events.

Handoff loss

High-value context was not packaged into the CRM record Sales received.

Reporting ambiguity

Dashboards answered different attribution questions without labeling the model or limitations.

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Actions Taken

1. Mapped the source-to-opportunity journey

BiViSee documented every critical event from ad or organic visit through form completion, CRM creation, assignment, qualification, and opportunity creation.

2. Standardized acquisition data

Original source, latest source, campaign, landing page, conversion asset, and consent context were separated and governed so later activity did not erase the first known path.

3. Repaired conversion and CRM mappings

Forms, hidden fields, integrations, deduplication rules, and account matching were tested end to end.

4. Aligned lifecycle definitions

Marketing and Sales agreed on stage definitions, ownership, required fields, rejection reasons, and the events that moved a record forward or backward.

5. Improved routing and handoff

Records were routed by fit and intent with a concise context package: source, page, offer, stated need, relevant activity, and service interest.

6. Rebuilt pipeline reporting

Reports separated source, influence, opportunity creation, pipeline value, and revenue. Each view documented its attribution model and exclusions.

Timeline

Phase	Timing	Work completed
Diagnostic	Weeks 1–2	Audited fields, events, integrations, lifecycle stages, duplicates, and reports
Data and tracking repair	Weeks 3–6	Standardized source rules, mappings, persistence, and QA
Handoff alignment	Weeks 7–9	Defined stages, routing, required context, ownership, and rejection reasons
Reporting validation	Weeks 10–12	Reconciled analytics, CRM, opportunity, and pipeline views

Results

Within three months of implementation, 91% of newly created opportunities had valid acquisition and conversion context, up from 54%.
Required handoff-field completeness increased from 63% to 94%, while duplicate or unmatched records declined from 12% to 4%.

Median lead-assignment time fell from 17 hours to 2.8 hours.
The variance between analytics conversions and CRM records narrowed from 23% to 6%.
Sales received more consistent information at handoff, and the monthly pipeline report could be prepared in three hours instead of two working days.

Result: Opportunity attribution completeness increased from 54% to 91%, median assignment time fell by 84%, and monthly reporting preparation dropped from two days to three hours.

Measurement Method

Recommended definition:

Attribution completeness is the share of eligible CRM records and opportunities with valid, governed acquisition and conversion context; handoff reliability is the share routed with the required fit, intent, ownership, and follow-up fields.

Recommended comparison:

Baseline: 2,186 inbound records and 164 opportunities created during the six months before repair.
Post-implementation: records created in month three after stabilization, using the same sources, form types, and opportunity definition.