Amendment 0006 to MCC APS NOFO No. 95332419N0001 Attachment Opportunity Statement #10 Annex I MCC CIV Stats.pdf

Commer ce

Res torat ion

Confec tio n

Agro -in dustr y

Eve nts

Cosm eti cs

Se wing a nd hair dre ss ing

Purch as e a nd tr ad e

Consu ltin g a nd ad vis ory se rvi ce s

Constr ucti on

Agri cu ltu re

Bak er y

Rea l e sta te

Bre ed ing

To uris m an d hosp ita lity

Prin tin g a nd re pro gra phy

Sc hool a nd ed uca tio n

Digi tal te ch nologie s

Hea lth

Se rvi ce pro vid er

Other

Overview of Survey Findings

Total Respondents

64 % entrepreneur

Prior Business Experience

ABOUT THE BUSINESS LEADERS

BUSINESS TYPE

87 in Abidjan

Location

Unregistered

Age

67 years old

Ownership

79 Proprietor

Education

46 %

95 than Nine

No. of Employees

84 % to Consumer

Market Model hold a

1st-time based

18-35 Masters

Business

Sole

Top Sectors

20 % Commerce

Activities

Goods/Services % Deliver57

0 100 200 300 400 500

Deliver goods/services

Resell products

Produce products

56 of Home

Office Space

Out %

Fewer

In

0 25 50 75 100

Item 1

Sc al e

0 25 50 75 100

Item 1

Overview of Survey Findings cont.

Funded Internally 20

0 25 50 75 100

Item 1 37 Year Old

BUSINESS MATURITY

BUSINESS SUPPORT

Members % Are

Professional or Trade Association

3.1 Avg.

and

1 5 provided value

Respond to Government Tenders/Calls for Information reported

12 % Yes 58 No, but % would like to than 16 More

No. of Clients

Id ea tio n

Ac ce le ra tio

Co m m er ci al iz at io

N o

Re ve nu e

-5 m il

CF

A m il

CF

A

Most Recent Annual Income

52 mil CFA (USD 55k) Revenue <30 %

Business Stage

30 % In Validation

No

Accounting System

66 % Payments Up-to-Date

Yes % 78

<One

Age of Business

1-ye ar s

3-ye ar s

5+ y ea rs

Have access to internet 91 Daily

% Use

% Top barriers cited for integrating digital tools into business

72 %

Yes65

Yes66 Sources reported

0 100 200 300 400

Professional groups

Government

Business partners

Other sources

Tools Cited

Sm art phone

Mobile phone

La ptop

Prin ter

Sc an ner

Photoco pier

Des kto p Ta blet

Phone Other

0 200 400 600

Mobile

Wifi

Cable

Via

Industry-specific Apps/Sites

34 Use

Mark eti ng

Str ate gy

Plan ning

Acc ountin g

HR M

gm t

Fin an ce

Ta xa tio n Other

Overview of Survey Findings cont.

TECHNOLOGY/TOOL USE

Technology/Tool Use

Financing allocate %

% Received IT/Tech Training

26 % in past for annually 79 % next year within three years

Budget for IT/Tech TrainingAnticipate IT/Tech Training

DATA USE

Capture their own data

Utilize external data

% WhatsApp remains most popular for both internal and external operations, followed by Email and Social Media lack 35 Expertise % lack

But

Top barriers cited for using data for business, are lack of...

43 to Data % Access 29 to Analyze

% Skills 24 to Analyze % Time

Most commonly through customer satisfaction surveys, via social media, and stored on computer hard drives

Purposes cited for using data for business operations

Be led by someone with tert iary education, with access to the internet

Be a registered business, working out of shared workspace, and part of a professional associat ion

Be budgeting for tech training; captur ing their own data, and ut i l iz ing external data from professional groups

Most l ikely to. . .

SCALE

Some market validation/ Research;

Product in POC development; Pre-Revenue

POC developed; Expression of interest from potential client; Generated first $$;

Clear business model;

Registered Company

MVP developed; Secured clients;

Strong business model; Technology tested; Revenue generating

Client customisation;

Revenue generation;

Captured client base;

Fully operational and tested product

IDEATION

VALIDATION

ACCELERATION

Business idea not validated;

Product has not been developed

COMMERCIALIZATION

Findings Based on 5 Stages of the Business Life Cycle

30% of W-SME respondents

23% of W-SME respondents

22% of W-SME respondents

17% of W-SME respondents

9% of W-SME respondents

Most l ikely to. . .Uti l ize external data

Least l ikely to. . .Be using external government data

Be led by someone with a technical cert i f icate (and least l ikely to be led by someone who received tert iary education)

Have received technical training in the past 3 years and be ut i l iz ing tech tools every day

Be captur ing their own data, and ut i l iz ing external data from other partners

Most l ikely to. . .

Be registered, based in Abidjan, and working in a shared workspace or a commercial off ice; have access to the internet Be part of a professional associat ion, and report f inding value in i t Be ut i l iz ing technology every day, inc . web appl icat ions for business;

have received tech training in the past 3 years , and be budgeting for tech training Be ut i l iz ing external data, especial ly from other partners

Least l ikely to. . .

Most l ikely to. . .Use data from government (when ut i l iz ing external data)

Least l ikely to. . .Use data from professional groups (when ut i l iz ing external data)

Be based in Abidjan

Report f inding value in professional associat ions

Most l ikely to. . .

Abidjan (697)

Number of Respondents

Bouaké (16)

Daloa (4)

Dabou (4)

Toumodi (3)

San Pedro (3)

Agboville (3)

Korhogo (2)

Gagnoa (2)

Boundiali (2)

Bonoua (2)

Agnibilekrou (2)

Grand-Bassam (8)

Yamoussoukro (8)

(1 respondent): Abengourou, Adzopé, Affikro, Ahoué, Anyama, Azaguié, Bongouanou, Bouaflé, Dabakala, Duekoue, Gueyo, Guiglo, Kolia, Mondoukou, Moronou, Pacabo, Sinfra, Soubre, Tiassalé, Yaou

Not pictured: Burkina Faso (6), France (2), Morocco (2), at home (2), online (2), Benin (1), Cameroon (1), Chad (1), Guinea (1), Mali (1), USA (1) by Business Location in ABIDJAN 87 % Based OUTSIDE of Abidjan 13

Though the majority in both groups of W-SMEs are first time business owners, those based in Abidjan are more likely to have started a business before. They are also more likely to report desire/passion as their motivation for starting a business while those based outside of Abidjan are more likely to cite opportunity

Though the majority in both groups of W-SMEs are in the Validation stage of business, those based in Abidjan are more likely to be in Commercialization or Scale while those based outside of Abidjan are more likely to be in Ideation

Though the majority in both groups of W-SMEs earn less than 30 million CFA ($55k USD) in annual revenue, those based in Abidjan are more likely to be earning >50 million CFA while those based outside of Abidjan are more likely to report no revenue

Though the majority in both groups of W-SMEs hold a Master's degree, those based in Abidjan are more likely to have a master's or doctorate while those based outside of Abidjan were more likely to have only completed primary or secondary school

Though the majority in both groups of W-SMEs have internet access, those based in Abidjan are more likely to use wifi while those based outside of Abidjan are more likely to use mobile

Though the majority in both groups of W-SMEs use both internal and external data, those based in Abidjan are more likely to collect their own data and use external data. However, those based outside of Abidjan are more likely to cite using external data from government, professional groups, and other business partners.

Findings Based on Business Location

PERSONAL & BUSINESS CHARACTERISTICS

DATA & TECHNOLOGY USE

Most common other locations: Bouake, Yamoussoukro, Grand-Bassam, Dabou, & Dalou

Though the majority in both groups of W-SMEs are unregistered, those based in Abidjan are more likely to be registered than those based outside of Abidjan

Though the majority in both groups of W-SMEs have 16+ clients, those based outside of Abidjan are more likely to have <5 clients

Though the majority in both groups of W-SMEs have not received technical training, those based in Abidjan are more likely to have received technical training in the last three years while those based outside of Abidjan are more likely to report anticipating taking technical training in the next year

Though the majority in both groups of W-SMEs report marketing as the top use for data, those based in Abidjan are more likely to use data for strategy, finance, and accounting while those based outside of Abidjan are more likely to use data for HR management

Though the majority in both groups of W-SMEs report access as the top barrier to data use, those based in Abidjan are more likely to mention facing no barriers and lacking time while those based outside of Abidjan are more likely to mention lacking trust in data and the capacity to analyze it

Though the majority in both groups of W-SMEs cite funding as the top barrier to integrating digital tools, those based in Abidjan are more likely to mention facing no barriers and lacking time while those based outside of Abidjan are more likely to mention lack of funding and expertise

Based