CRM Operations & Pipeline Analysis Portfolio by Maris WanjikuCRM Operations & Pipeline Analysis Portfolio by Maris Wanjiku

CRM Operations & Pipeline Analysis Portfolio

Maris Wanjiku

Maris Wanjiku

Maris Wanjiku – CRM Operations Portfolio - 1 -
I create clean, structured CRM data systems and monitor sales pipelines to ensure opportunities progress efficiently.
Through audits, follow-ups, and risk analysis, I provide actionable insights that help sales teams improve performance and support business growth.
This portfolio demonstrates my ability to analyze, organize, and optimize CRM operations, showing real operational work rather than theory.
PORTFOLIO SUMMARY
TITLE
CRM Operations & Pipeline Analysis Portfolio.
PROFESSIONAL FOCUS
CRM Data Management, Sales Pipeline Monitoring, and Process Optimization.
OVERVIEW
I support companies by maintaining clean CRM data, monitoring sales pipeline performance, and designing follow-up systems that reduce deal inactivity and improve forecasting accuracy.
CORE CAPABILITIES
• CRM data quality auditing • Sales pipeline analysis and reporting • Detection of stuck or inactive deals • Follow-up workflow design • Spreadsheet-based reporting and insights
TOOLS
1. Microsoft Excel 2. Google Sheets 3. Zoho CRM
TYPICAL PROBLEMS I HELP SOLVE
• Incomplete or duplicate CRM records • Deals remaining too long in pipeline stages • Lack of follow-up activity on leads • Unreliable pipeline reporting
OUTCOME FOR BUSINESSES; Cleaner CRM data, clearer pipeline visibility, and structured follow-up systems that help sales teams convert deals more efficiently.
CRM DATA QUALITY AUDIT
PROJECT TITLE
CRM Data Cleanup & Quality Audit
OBJECTIVE
Review CRM records to identify missing or incorrect deal data that could affect reporting and revenue forecasting.
TASKS PERFORMED
• Checked deals for missing fields (amount, close date, contact) • Identified duplicate contacts and companies • Flagged incomplete deal records • Organized CRM data for accurate reporting
Maris Wanjiku – CRM Operations Portfolio - 3 -
EXAMPLE FINDINGS
IMPACT; Improved CRM data reliability, ensuring accurate pipeline reports and better sales forecasting.
SALES PIPELINE MONITOR
PROJECT TITLE: Pipeline Activity Review
OBJECTIVE: Track deals across the pipeline to identify slow-moving or stalled opportunities.
TASK PERFORMED / EXPLANATION: Monitored each deal’s stage, value, days in stage, last activity, and risk status.
Maris Wanjiku – CRM Operations Portfolio - 4 -
Formatting Used:
Green - Healthy deals.
Yellow - Deals to be monitored.
Red – Deals at risk.
IMPACT / OBSERVATION: Deals in Proposal or Negotiation stages for extended periods indicate potential delays or gaps in follow-up.
RECOMMENDATION: Trigger follow-ups for deals exceeding normal stage duration; review proposal clarity or pricing.
PORTFOLIO IMPACT STATEMENT: Identified stalled deals and bottlenecks, enabling proactive pipeline management and higher conversion potential.
FOLLOW-UP PROCESS DESIGN
PROJECT TITLE: Structured Follow-Up System
OBJECTIVE: Maintain consistent prospect communication to prevent deal inactivity.
TASK PERFORMED / EXPLANATION: Designed a timeline with follow-up actions (Day 2 reminder, Day 5 second follow-up, Day 8 at risk flag, Day 10 escalation).
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IMPACT / OBSERVATION: Structured follow-ups reduce inactive deals and increase pipeline efficiency.
RECOMMENDATION: Implement automated reminders in the CRM for inactive deals.
PORTFOLIO IMPACT STATEMENT: Structured follow-ups to reduce deal inactivity and maintain consistent client engagement.
SUMMARY TABLE
PROJECT TITLE: Operational Summary
OBJECTIVE: Provide a concise overview of CRM data and pipeline health.
TASK PERFORMED / EXPLANATION: Consolidated audit findings and pipeline monitoring.
Maris Wanjiku – CRM Operations Portfolio - 6 -
IMPACT / OBSERVATION: Highlights operational strengths and areas needing attention quickly.
RECOMMENDATION: Regular review to ensure continuous improvement.
PORTFOLIO IMPACT STATEMENT: Provided a concise operational overview that highlights key findings.
PIPELINE STAGE DISTRIBUTION
PROJECT TITLE: Pipeline Visualization
OBJECTIVE: Analyze how deals are distributed across sales stages to detect bottlenecks.
TASK PERFORMED / EXPLANATION: Counted deals in each stage and generated a visual chart.
Maris Wanjiku – CRM Operations Portfolio - 7 -
IMPACT / OBSERVATION: High concentration in the Proposal stage may indicate slow client decisions or delayed follow-ups.
RECOMMENDATION: Review proposals and follow-up timing for smoother pipeline progression.
PORTFOLIO IMPACT STATEMENT: Visualized deal distribution to detect pipeline bottlenecks and optimize stage progression.
OPERATIONAL NOTES
PROJECT TITLE: CRM Performance Metrics
OBJECTIVE: Track essential metrics to monitor pipeline health and sales operations efficiency.
Maris Wanjiku – CRM Operations Portfolio - 8 -
Average Days in Stage
Measures the average time deals spend in each pipeline stage. This metric helps detect bottlenecks where opportunities remain longer than expected, indicating delays in the sales process.
Deal Activity
Tracks the frequency of interactions with prospects such as calls, emails, or meetings. Low activity levels may indicate deals that lack follow-up and risk becoming inactive.
Conversion Rate
Measures the percentage of deals successfully moving from one stage to the next. It helps evaluate how effective each stage of the sales process is at progressing opportunities.
Deal Data Completeness
Assesses whether required deal information such as deal value, contact details, or stage information is properly recorded. Complete data ensures accurate reporting and reliable sales forecasting.
Pipeline Value
Pipeline Value represents the total monetary value of all active deals currently in the sales pipeline. This metric helps estimate potential revenue and allows sales managers to evaluate whether the pipeline contains enough opportunities to meet revenue targets.
Maris Wanjiku – CRM Operations Portfolio - 9 -
CLOSING NOTE
This portfolio demonstrates practical CRM operations tasks including data quality auditing, sales pipeline monitoring, follow-up process design, and pipeline performance analysis. The examples highlight how structured data management and operational monitoring can support sales teams, improve pipeline visibility, and enable more informed revenue decisions.
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Posted Apr 14, 2026

Optimized CRM operations for improved sales performance and growth.