Sales Analytics

Sales analytics provide deep insights into YeboLearn's sales performance, pipeline health, and conversion efficiency. This data drives sales strategy, team optimization, and revenue forecasting.

Sales Performance Overview

Current Performance Snapshot

November 2025 Summary:

Metric	Current	Target	Status	Variance
New Logos	13 schools	15 schools	🟡	-13%
New MRR	$18,000	$22,000	🟡	-18%
Win Rate	42%	40%	🟢	+5%
Sales Cycle	38 days	30-45 days	🟢	On target
Avg Deal Size	$1,385/mo	$1,500/mo	🟡	-8%
Pipeline Coverage	3.2x	3-4x	🟢	Healthy

Overall Assessment: Solid performance with room for improvement in volume and deal size

Sales Team Performance

Team Composition:

Sales Leader (CRO): 1 person
Account Executives: 3 full-time
Sales Development Rep (SDR): 1 full-time
Total Sales Team: 5 people

Team Productivity (November 2025):

Role	Quota	Actual	Attainment	Activity Level
Sarah M. (AE)	5 schools	5 schools	100%	High
David K. (AE)	5 schools	4 schools	80%	High
Lisa P. (AE)	5 schools	3 schools	60%	Medium
New Rep (AE)	3 schools	1 school	33%	Ramping
SDR (Leads)	120 qualified	126 qualified	105%	High

Team Attainment: 87% (target: 90%+)

Sales Funnel Analysis

Full Funnel Overview

November 2025 Funnel:

Stage                    Volume    Conversion    Value        Weighted
─────────────────────────────────────────────────────────────────────
Leads                    420       -             -            -
  ↓ 30% qualify
Qualified Opps           126       30%           $2,520,000   $504,000
  ↓ 55% get demo
Demo Completed           69        55%           $1,380,000   $552,000
  ↓ 45% receive proposal
Proposal Sent            31        45%           $620,000     $372,000
  ↓ 48% negotiate
In Negotiation           15        48%           $300,000     $240,000
  ↓ 87% close
Closed Won               13        87%           $261,000     $227,000

Overall Conversion: 3.1% (lead → customer)
Overall Close Rate: 42% (qualified opp → customer)

Funnel Health Indicators:

✅ Lead → Qualified: 30% (target: 25-35%)
✅ Qualified → Demo: 55% (target: 50-60%)
⚠️ Demo → Proposal: 45% (target: 50%+) - Needs improvement
✅ Proposal → Negotiation: 48% (target: 45%+)
✅ Negotiation → Close: 87% (target: 80%+)

Improvement Focus: Demo → Proposal conversion (currently 45%, target 52%)

Funnel Velocity

Time in Each Stage (Average Days):

Stage	Avg Days	Target	Status	Bottleneck?
Lead → Qualified	5 days	3-7 days	✅	No
Qualified → Demo Scheduled	8 days	5-10 days	✅	No
Demo → Proposal Sent	12 days	10-15 days	✅	No
Proposal → Negotiation	7 days	5-10 days	✅	No
Negotiation → Closed Won	6 days	3-7 days	✅	No
Total Sales Cycle	38 days	30-45 days	✅	No major bottlenecks

Velocity by Tier:

Enterprise: 62 days avg (longer but worth it)
Professional: 35 days avg (sweet spot)
Essentials: 22 days avg (fastest close)

Velocity Optimization:

Reduce demo → proposal time by improving qualification
Accelerate proposal → negotiation with standardized pricing
Fast-track Essentials deals with self-serve elements

Pipeline Coverage

Current Pipeline (as of Nov 30):

Stage	Opportunities	Total Value	Weighted Value	Close Date
Qualified	45	$1,280,000	$256,000	Jan-Mar 2026
Demo Completed	32	$890,000	$356,000	Dec-Feb 2026
Proposal Sent	18	$520,000	$312,000	Dec-Jan 2026
Negotiation	12	$380,000	$304,000	Dec 2025
Total	107	$3,070,000	$1,228,000	-

Q1 2026 Target: $390,000 new ARR

Pipeline Coverage Analysis:

Unweighted Coverage: 7.9x ($3,070K / $390K)
Weighted Coverage: 3.2x ($1,228K / $390K)
Assessment: Healthy pipeline, meets 3-4x target ✅

Pipeline Quality Indicators:

Average opportunity age: 28 days (healthy, not stale)
Stale deals (>60 days): 8 (7% of pipeline - acceptable)
New opps added this month: 42 (strong inflow)
Opps closed/lost this month: 35 (healthy churn)

Conversion Rate Analysis

Stage-by-Stage Conversion

Historical Conversion Trends (Last 6 Months):

Stage → Next Stage	Jun	Jul	Aug	Sep	Oct	Nov	Target
Lead → Qualified	28%	30%	31%	32%	30%	30%	30% ✅
Qualified → Demo	52%	54%	53%	56% 55%	55%	55% ✅
Demo → Proposal	42%	44%	46%	47%	46%	45%	50% ⚠️
Proposal → Negotiation	45%	46%	47%	48%	47%	48%	45% ✅
Negotiation → Close	85%	86%	87%	88%	86%	87%	85% ✅

Overall Win Rate Trend:

Jun: 38%
Jul: 40%
Aug: 41%
Sep: 43%
Oct: 42%
Nov: 42%
Average: 41% (target: 40%) ✅

Improvement Areas:

Demo → Proposal: Improve demo quality, better qualification
Proposal → Negotiation: Standardize pricing, reduce friction

Conversion by Tier

Win Rates by Tier:

Tier	Qualified Opps	Closed Won	Win Rate	Avg Cycle	Avg Deal
Enterprise	18	6	33%	62 days	$54,000 ARR
Professional	68	32	47%	35 days	$21,600 ARR
Essentials	40	25	63%	22 days	$10,000 ARR
Total	126	63	42%	38 days	$20,400 ARR

Insights:

Essentials: Fastest sales, highest win rate, lowest value
Professional: Best balance of win rate and value
Enterprise: Longer cycle, lower win rate, but high value justifies effort

Tier Strategy:

Enterprise: Accept lower win rate, focus on qualification
Professional: Optimize for volume and efficiency
Essentials: Consider self-serve to reduce sales cost

Conversion by Channel

Win Rate by Lead Source:

Channel	Leads	Qualified	Won	Win Rate	CAC
LinkedIn Outbound	255	85	18	21%	$700
Email Campaigns	336	112	15	13%	$300
WhatsApp	144	48	6	13%	$400
Referrals	18	16	6	38%	$0
Inbound (Website)	42	28	3	11%	$800
Events/Webinars	114	65	9	14%	$733

Best Performing Channels:

Referrals: 38% win rate (highest quality)
LinkedIn: 21% win rate (good volume + quality)
Events: 14% win rate (mid-tier)

Channel Optimization:

Scale: LinkedIn (good balance)
Maximize: Referral program (highest quality)
Improve: Email nurture (low win rate needs work)

Sales Cycle Analysis

Cycle Length by Multiple Factors

By School Size:

School Size	Avg Cycle	Win Rate	Deal Value	Volume
<100 students	22 days	62%	$10,000 ARR	40%
100-300 students	35 days	47%	$21,600 ARR	52%
300+ students	62 days	33%	$54,000 ARR	8%

By School Type:

Type	Avg Cycle	Win Rate	Budget Constraints	Decision Makers
Private Independent	32 days	48%	Low	Principal + Treasurer
Private Religious	38 days	42%	Medium	Board + Principal
Public Progressive	52 days	35%	High	Dept Head + Committee
Charter/Model C	42 days	45%	Medium	Principal + Board

By Region:

Region	Avg Cycle	Win Rate	Competition	Pricing Sensitivity
Gauteng	35 days	40%	High	Medium
Western Cape	38 days	44%	Medium	Low
KZN	42 days	38%	Low	High
Eastern Cape	48 days	42%	Low	High

Cycle Reduction Strategies:

Private schools: Fast-track with standardized pricing
Gauteng: Differentiate on features, not price
KZN/Eastern Cape: Payment plans to address budget concerns

Deal Velocity Trends

Average Days by Stage (Monthly Comparison):

Stage	Jun	Jul	Aug	Sep	Oct	Nov	Trend
Lead → Qualified	6	6	5	5	5	5	↘ Improving
Qualified → Demo	9	9	8	8	8	8	↘ Improving
Demo → Proposal	14	13	13	12	12	12	↘ Improving
Proposal → Neg	8	8	7	7	7	7	↘ Improving
Neg → Close	7	7	6	6	6	6	↘ Improving
Total	44	43	39	38	38	38	↘ Improving

Velocity Improvements:

6-day improvement since June (44 → 38 days)
Standardized demo deck reduced demo → proposal time
Pricing calculator streamlined negotiation

Win/Loss Analysis

Win Rate Breakdown

Overall Win/Loss Summary (Last 90 Days):

Total Closed Opportunities: 108
  Closed Won:     45 (42%)  ██████████████████████
  Closed Lost:    63 (58%)  ████████████████████████████

Win Rate by Tier:

Enterprise: 33% (12 opps, 4 won)
Professional: 47% (68 opps, 32 won)
Essentials: 63% (28 opps, 18 won)

Win Rate Trend: Improving from 38% (Q3) to 42% (Q4)

Loss Reasons Analysis

Primary Loss Reasons (Last 90 Days):

Reason	Count	% of Losses	Preventable?	Action Plan
Price too high	18	29%	Partially	Better value articulation
Chose competitor	15	24%	Yes	Strengthen differentiation
Budget constraints	12	19%	Partially	Payment plans, ROI proof
Feature gap	8	13%	Yes	Roadmap acceleration
Poor demo/fit	5	8%	Yes	Better qualification
Timing/priority	3	5%	No	Follow-up in 3 months
Other	2	3%	Maybe	Case-by-case

Competitive Losses (15 losses):

Competitor A: 8 losses (lower price, established brand)
Competitor B: 5 losses (specific feature advantage)
Competitor C: 2 losses (regional player)

Win-Back Strategy:

Price objections: Demonstrate ROI, offer pilot
Competitive losses: Highlight unique AI features
Feature gaps: Fast-track requested features for re-engagement

Win Factors Analysis

Primary Win Reasons (Last 90 Days):

Reason	Count	% of Wins	Key Strength
AI features	18	40%	Unique differentiator
Ease of use	12	27%	Superior UX
ROI/value	8	18%	Time savings
Customer support	4	9%	Responsive team
Integration capabilities	2	4%	Tech ecosystem
Other	1	2%	-

Win Factor Insights:

AI features: Most compelling differentiator, emphasize in demos
Ease of use: Teachers appreciate simplicity, highlight in messaging
ROI: Quantified time savings resonate, create ROI calculator

Account Executive Performance

Individual Rep Performance

Detailed Rep Metrics (November 2025):

Sarah M. (Top Performer)

Tenure: 18 months
Quota: 5 schools/month
Actual: 5 schools (100% attainment)

Performance Metrics:
  Win Rate:          52% (vs 42% team avg)
  Avg Deal Size:     $25,200 ARR (vs $20,400 avg)
  Sales Cycle:       32 days (vs 38 days avg)
  Pipeline Value:    $680,000
  Activities/Week:   85 (calls, emails, meetings)

Strengths:
  - Excellent at Enterprise deals
  - Strong relationship building
  - Great at identifying upsell opportunities

Areas to Improve:
  - Could handle higher volume
  - Delegate more admin work

David K. (Solid Performer)

Tenure: 12 months
Quota: 5 schools/month
Actual: 4 schools (80% attainment)

Performance Metrics:
  Win Rate:          48% (vs 42% team avg)
  Avg Deal Size:     $18,500 ARR (vs $20,400 avg)
  Sales Cycle:       35 days (vs 38 days avg)
  Pipeline Value:    $520,000
  Activities/Week:   72

Strengths:
  - Consistent performer
  - Strong demo skills
  - Good at objection handling

Areas to Improve:
  - Close more Enterprise deals
  - Reduce cycle time further
  - Increase activity volume

Lisa P. (Needs Coaching)

Tenure: 8 months
Quota: 5 schools/month
Actual: 3 schools (60% attainment)

Performance Metrics:
  Win Rate:          42% (vs 42% team avg)
  Avg Deal Size:     $16,000 ARR (vs $20,400 avg)
  Sales Cycle:       42 days (vs 38 days avg)
  Pipeline Value:    $450,000
  Activities/Week:   58 (below target)

Strengths:
  - Good product knowledge
  - Builds rapport with teachers

Areas to Improve:
  - Increase activity (prospecting)
  - Improve qualification
  - Shorten sales cycle
  - Focus on higher-value deals

Action Plan:
  - Weekly coaching sessions
  - Shadow Sarah on Enterprise deals
  - Activity targets: 75/week minimum

New Rep (Ramping)

Tenure: 2 months
Quota: 3 schools/month (ramp)
Actual: 1 school (33% attainment)

Status: On track for typical ramp
Full productivity expected: Month 4-6

Team Capacity Planning

Current Capacity:

3 full AEs + 1 ramping = 3.5 FTE
Average quota: 5 schools/month per AE
Team capacity: 17.5 schools/month at 100% attainment
Actual performance: 13 schools/month (74% of capacity)

2026 Hiring Plan:

Q1: Hire 1 AE (increase capacity to 22.5 schools/month)
Q2: Hire 1 SDR (improve lead quality and volume)
Q3: Hire 1 AE (increase capacity to 27.5 schools/month)
Q4: Evaluate based on performance

Capacity vs Target:

2026 target: 25 new schools/month average
Required capacity: 28-30 schools/month (assuming 85% attainment)
Hiring plan supports target ✅

Sales Operations

Sales Tools and Tech Stack

Current Stack:

Tool	Purpose	Monthly Cost	ROI
HubSpot CRM	Pipeline management, deals	$800	High
LinkedIn Sales Nav	Prospecting, outreach	$480	High
Calendly	Demo scheduling	$40	Medium
Gong (planned)	Call recording, coaching	$500	TBD
DocuSign	Contract signing	$80	Medium

Stack Effectiveness: 8/10 (good but missing coaching tools)

Planned Additions (Q1 2026):

Gong or Chorus.ai for call intelligence
Outreach.io for sales automation
Pricing calculator tool

Sales Enablement

Current Resources:

Sales playbook (last updated: Oct 2025)
Demo deck (3 versions by tier)
Battle cards (vs 3 competitors)
ROI calculator
Case studies (8 schools)
Email templates (15 sequences)
Objection handling guide

Enablement Gaps:

Limited competitive intelligence (need monthly updates)
No recorded demo library
Insufficient customer testimonials (need video)

Training Program:

Weekly team meeting (1 hour): Pipeline review, win/loss sharing
Monthly training (2 hours): Product updates, competitive intel
Quarterly offsites (1 day): Strategic planning, skill development
1:1 coaching: Weekly for underperformers, bi-weekly for others

Sales Compensation

Compensation Structure:

Account Executives:

Base salary: $60,000/year
Variable (OTE): $40,000/year (at 100% quota)
Total OTE: $100,000/year
Split: 60/40 (base/variable)

Quota: 5 new schools/month (60/year)

Commission Structure:

Essentials: $400 per school
Professional: $700 per school
Enterprise: $1,500 per school
Accelerators: 1.5x after 100% quota attainment

SDR:

Base salary: $45,000/year
Variable (OTE): $20,000/year
Total OTE: $65,000/year
Quota: 100 qualified opps/month

Commission: $150 per qualified opportunity

Sales Forecasting

Monthly Forecast

December 2025 Forecast:

Stage	Opps	Value	Weighted	Expected Close
Negotiation (80%)	12	$240K	$192K	10 schools
Proposal (60%)	18	$360K	$216K	+5 schools
Demo (30%)	32	$640K	$192K	+4 schools
Total	62	$1,240K	$600K	19 schools

Confidence Level: 75% (strong pipeline)

Forecast: 15-19 new schools in December (target: 15)

Quarterly Forecast

Q1 2026 Forecast:

Month	Forecast (Schools)	Forecast (MRR)	Confidence
Dec 2025	17	$23,800	80%
Jan 2026	22	$31,000	65%
Feb 2026	24	$33,600	55%
Q1 Total	63	$88,400	67%

Q1 Target: 60 new schools, $90,000 new MRR

Forecast vs Target: Slightly below on MRR due to tier mix (more Essentials)

Sales Analytics Dashboard

Key Metrics Tracked Daily:

Pipeline value and coverage
New opportunities added
Demos conducted
Proposals sent
Deals closed/lost
Win rate (rolling 30-day)

Weekly Team Meeting Agenda:

Pipeline review (20 min)
Deal coaching (20 min)
Win/loss sharing (10 min)
Competitive intel (5 min)
Product updates (5 min)

Monthly Business Review:

Quota attainment by rep
Win/loss analysis
Sales cycle trends
Forecast accuracy review
Channel performance

Sales Optimization Priorities

Q1 2026 Focus Areas:

Increase Demo → Proposal Conversion (45% → 52%)
- Better qualification criteria
- Improve demo quality
- Standardize follow-up process
Grow Enterprise Pipeline (8 → 15 opps/month)
- Hire enterprise-focused AE
- Develop enterprise playbook
- Create executive-level materials
Reduce Sales Cycle (38 → 35 days)
- Streamline proposal process
- Implement pricing calculator
- Accelerate contract signing
Improve Forecast Accuracy (85% → 90%+)
- Better pipeline hygiene
- Mandatory stage criteria
- Weekly forecast reviews

Next Steps

Business Analytics - Overall business analytics framework
Revenue Analytics - Revenue tracking and forecasting
Marketing Analytics - Lead generation and attribution
Growth Metrics - Acquisition and expansion metrics

Sales Analytics ​

Sales Performance Overview ​

Current Performance Snapshot ​

Sales Team Performance ​

Sales Funnel Analysis ​

Full Funnel Overview ​

Funnel Velocity ​

Pipeline Coverage ​

Conversion Rate Analysis ​

Stage-by-Stage Conversion ​

Conversion by Tier ​

Conversion by Channel ​

Sales Cycle Analysis ​

Cycle Length by Multiple Factors ​

Deal Velocity Trends ​

Win/Loss Analysis ​

Win Rate Breakdown ​

Loss Reasons Analysis ​

Win Factors Analysis ​

Account Executive Performance ​

Individual Rep Performance ​

Sarah M. (Top Performer) ​

David K. (Solid Performer) ​

Lisa P. (Needs Coaching) ​

New Rep (Ramping) ​

Team Capacity Planning ​

Sales Operations ​

Sales Tools and Tech Stack ​

Sales Enablement ​

Sales Compensation ​

Sales Forecasting ​

Monthly Forecast ​

Quarterly Forecast ​

Sales Analytics Dashboard ​

Sales Optimization Priorities ​

Next Steps ​