Market Insights

Customer behavior, objections, and competitive intelligence

Total Calls

1381

Win Rate

6.7%

92 won / 1381 total

Top Objection

Timing Mismatch

469 occurrences

Competitors

15

mentioned in calls

Reasons for Winning

10 reasons
1.

The agent provided direct technical assistance to overcome a payment barrier.

2.

Agent's persistence in troubleshooting the app registration and guiding the payment process directly.

3.

Agent successfully provided technical support for a payment issue and applied a discount code.

4.

The agent provided excellent technical support and clear value propositions, overcoming past negative experiences with competitors.

5.

The customer had already taken the action to subscribe and pay before the call.

6.

The customer had already subscribed to the full bundle before the follow-up call.

7.

Agent successfully addressed the parent's inability to explain lessons and the student's struggle to follow school teachers.

8.

The customer was already convinced and the agent facilitated a quick closing through a payment link.

9.

The customer was convinced by the 100 EGP offer and was in the final payment stage.

10.

The agent provided direct technical support to close the sale.

Reasons for Losing

10 reasons
1.

The customer lost interest after initial consideration and cited they were busy.

2.

Subject unavailability for the 3rd Secondary Science track.

3.

The customer preferred physical attendance (offline) while AlAdwaa provides digital-only solutions.

4.

The agent was too passive and allowed a potential lead to slip away without any attempt to qualify or pitch the product.

5.

The customer rejects the online learning model and insists on physical presence with a teacher.

6.

The lead was an accidental registration by a child, and the agent did not attempt to convert the parent's awareness into interest.

7.

The parent was not interested in the digital service and the requested subject (Math) was unavailable.

8.

The contact is already using the product and is the student's teacher, not a prospective buyer at this moment.

9.

The customer confirmed he deleted the account and showed no interest in continuing.

10.

Customer expected the digital features to be entirely free because they have the physical book.

Objection Root Causes

Timing Mismatch
469(47%)13% won
Feature Gap
191(19%)10% won
Trust Gap
145(15%)29% won
Budget Constraints
105(11%)10% won
None
43(4%)56% won
Competitor Lock-in
33(3%)0% won
Decision Maker Alignment
1(0%)-% won
Other
1(0%)-% won

Competitor Mentions

Tutoring Centers
11
Private Tutors
11
El Moasser
10
Youtube
9
Selah El Telmeez
7
Noon Academy
5
Al-Moasser
5
Private Teachers
4
Private Lessons
4
El-Moasser
4
Nagwa
4
Private Tutoring
4
Abwaab
3
Private Tutor
3
El Moaser
3

Win Rate vs Competitors

Tutoring Centers0% win rate
Private Tutors0% win rate
El Moasser100% win rate
Youtube0% win rate
Selah El Telmeez0% win rate

Lead Quality Distribution

Hot
19%
268
Qualified
42%
584
Warm
20%
274
Cold
12%
161
Disqualified
7%
94

Outcome Distribution

Follow-up
81%
1116
Lost
10%
140
Won
7%
92
No Decision
2%
33

Top Feature Requests

Platform/Tech
136
Content Quality
127
Not mentioned
111
Teacher Quality
80
Schedule Flexibility
53
Price
33
Reporting
17
Math subject for 3rd Primary
2
Monthly payment plan
2
Live trial session
2

Top Subject Requests

Multiple
501
Arabic
109
Math
75
Not mentioned
69
Science
50
English
50
Social Studies
30
Science, Math
6
Mathematics
5
Arabic, English, Social, Math, Science
5

Leads & Pipeline

Outbound lead scoring, receptiveness, and call screening breakdown

Call Validity Breakdown

What % of calls are worth analyzing vs. noise

Valid
81%
1537
Too Short
14%
271
Wrong Contact
2%
43
Disengaged
2%
36
Prank / Playing
0%
7
Voicemail
0%
2

Conversion Likelihood

AI-estimated probability of closing, with average lead score

Highavg score: 8.1/10
33%
459
Mediumavg score: 6.3/10
36%
498
Lowavg score: 3.8/10
11%
153
Very Lowavg score: 2.0/10
8%
110
Very Highavg score: 9.7/10
12%
161

Lead Tier Distribution

Priority tier assigned by AI — Hot leads need immediate follow-up

Hot
40%
47914% won
Warm
42%
4980% won
Nurture
12%
1412% won
Dead
7%
811% won

Customer Receptiveness

How open the customer was during the call, and conversion rate per level

Engaged
65211% conv.
Interested
3030% conv.
Lukewarm
2041% conv.
Dismissive
390% conv.
No Response
10% conv.

Customer Readiness Timeline

When the customer plans to make a decision

Ready Now
43%
51914% won
1-3 Months
25%
2960% won
3-6 Months
1%
110% won
Long Term
6%
710% won
Unclear
25%
3020% won

Immediate Call Outcome

What happened at the end of each outbound call

Callback Agreed
904
Not Interested
166
Other
101
Trial Started
18
Hung Up
8
Demo Booked
1
No Answer
1