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Panel Book
Powered by KLA
Profiling Information
Education
Level
Decision
Making
Financial
Products
Family size
Banking
Device
Type
Marital
Status City/Rural
Collected bimonthly
2
110 753
The YourView community is maintained and administered by KLA, a renowned and well-established
market research agency that provides research services and insights to numerous South African
companies, including blue chip clients in the financial services, telecommunications and FMCG industries.
Asian/Indian Coloured White Black Undisclosed
Ethnicity
1% 32% 40% 18% 6% 2% 1%
Age
-18 18-24 25-34 35-44 45-54 55-64 65+
Gender
56% 44%
4% 9% 9% 57% 21%
4
GP
42%
5%
LP
4%
NW
5%
MP
4%
FS
16%
KZN
7%
EC
16%
WC
1%
NC
Province
5
EC
FS
GP
KZN
LP
MP
NW
NC
WC
Eastern Cape
Free State
Gauteng
Kwa Zulu Natal
Limpopo
Mpumalanga
North West
Northern Cape
Western Cape
Household
Income
>R2k
R2k - R5k
R5k – R8k
R8k – R16k
R16k – R25k
R25k – R40k
R40k – R60k
R60k - R80k
R80k+
Undisclosed
Personal
Income
6
35%
2%
2%
5%
7%
7%
12%
8%
10%
13%
No Income
>R2k
R2k - R5k
R5k – R8k
R8k – R16k
R16k – R25k
R25k – R40k
R40k – R60k
R60k - R80k
R80k+
Undisclosed
12%
16%
11%
8%
12%
6%
3%
2%
1%
0%
29%
Education Level
Less than a high
school matric
MaritalStatus
EmploymentStatus
Undisclosed
Undisclosed
Highschool Matric Diploma/
Certificate
Graduates/
Post Graduates
Single Co-habituating
Married
8% 21%
37% 19% 15% Unemployed
Employed full time
Employed part time
Self-employed
Intern/apprentice
Stay-at-home parent
Student
Other
Undisclosed
20%
24%
5%
9%
1%
2%
17%
1%
21%
15% 51% 17% 21%
7
How KLA’s digital
communities differ from
other solutions
Quality Assurance
In survey quality checks
We ensure high quality data collection through our in-survey
quality controls.
• Digital fingerprint through IP address and browser cookies
• Automatic quarantine of bad responses
• Unique survey response ID
• Demographic validations and red herring questions
Demographic validations on age, gender, and province, allows us to flag and
remove fraudulent responses. Automatic quarantine is applied to spot straight
lining/patterned responses and speeding. In addition to these we can enable
auto quarantine of gibberish verbatim and trap/red herring questions. With all
these measures we can ensures both the quality and uniqueness of responses.
At survey launch (unique and random) response ID's are appended to each
survey link that goes to the panel and are returned upon completion to
incentivise.
8
Quality Assurance
Genuine respondents
at recruitment
We ensure that your surveys are only
completed by unique respondents
through our system quality checks.
• Double opt-in process as per ESOMAR
guidelines
• Email verification
• Unique mobile number
Systems checks are conducted daily for bad
emails, banned domains, unsubscribes,
duplicate email and duplicate mobile number.
Manual duplicate account checks are done
monthly searching for duplicate registrations
using profiling data like other contact details,
similarities in email address and other data
points.
9
Quality Assurance
Data processing and
cleaning
We ensure high quality data by making
sure the data is correct, consistent and
useable.
• Length of interview
• Sanity checks
• Junk open ends
• Outliers
Data cleaning stage : Fraudsters if found, are
blocked and blacklisted after their data is
removed.
The manual and automated checking of these
quality measure ensure that the data collected
is logical, consistent and meets the
requirements (accurate open ends) of the
study.
10
YourView Panel Book.pptx YourView Panel Book.

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YourView Panel Book.pptx YourView Panel Book.

  • 3. 110 753 The YourView community is maintained and administered by KLA, a renowned and well-established market research agency that provides research services and insights to numerous South African companies, including blue chip clients in the financial services, telecommunications and FMCG industries.
  • 4. Asian/Indian Coloured White Black Undisclosed Ethnicity 1% 32% 40% 18% 6% 2% 1% Age -18 18-24 25-34 35-44 45-54 55-64 65+ Gender 56% 44% 4% 9% 9% 57% 21% 4
  • 6. Household Income >R2k R2k - R5k R5k – R8k R8k – R16k R16k – R25k R25k – R40k R40k – R60k R60k - R80k R80k+ Undisclosed Personal Income 6 35% 2% 2% 5% 7% 7% 12% 8% 10% 13% No Income >R2k R2k - R5k R5k – R8k R8k – R16k R16k – R25k R25k – R40k R40k – R60k R60k - R80k R80k+ Undisclosed 12% 16% 11% 8% 12% 6% 3% 2% 1% 0% 29%
  • 7. Education Level Less than a high school matric MaritalStatus EmploymentStatus Undisclosed Undisclosed Highschool Matric Diploma/ Certificate Graduates/ Post Graduates Single Co-habituating Married 8% 21% 37% 19% 15% Unemployed Employed full time Employed part time Self-employed Intern/apprentice Stay-at-home parent Student Other Undisclosed 20% 24% 5% 9% 1% 2% 17% 1% 21% 15% 51% 17% 21% 7
  • 8. How KLA’s digital communities differ from other solutions Quality Assurance In survey quality checks We ensure high quality data collection through our in-survey quality controls. • Digital fingerprint through IP address and browser cookies • Automatic quarantine of bad responses • Unique survey response ID • Demographic validations and red herring questions Demographic validations on age, gender, and province, allows us to flag and remove fraudulent responses. Automatic quarantine is applied to spot straight lining/patterned responses and speeding. In addition to these we can enable auto quarantine of gibberish verbatim and trap/red herring questions. With all these measures we can ensures both the quality and uniqueness of responses. At survey launch (unique and random) response ID's are appended to each survey link that goes to the panel and are returned upon completion to incentivise. 8
  • 9. Quality Assurance Genuine respondents at recruitment We ensure that your surveys are only completed by unique respondents through our system quality checks. • Double opt-in process as per ESOMAR guidelines • Email verification • Unique mobile number Systems checks are conducted daily for bad emails, banned domains, unsubscribes, duplicate email and duplicate mobile number. Manual duplicate account checks are done monthly searching for duplicate registrations using profiling data like other contact details, similarities in email address and other data points. 9
  • 10. Quality Assurance Data processing and cleaning We ensure high quality data by making sure the data is correct, consistent and useable. • Length of interview • Sanity checks • Junk open ends • Outliers Data cleaning stage : Fraudsters if found, are blocked and blacklisted after their data is removed. The manual and automated checking of these quality measure ensure that the data collected is logical, consistent and meets the requirements (accurate open ends) of the study. 10