Luckys

BigData
Our Offices are at Strategia Wealth, IconeEbene Building , Ebene.
4 salariés

Notre Objectif

We'd be very happy to benefit from the mentoring and network access for strategic partnerships & series A funding though GDB and also share our knowledge and skills to the community.

Le projet

Today, brands have data about their current customers and market insights about their competitors. What they do not have is hyper-local and granular data about their competitor’s customers. We bridge this gap by providing to brands a SaaS Business Intelligence (BI) from data collected directly from consumers through a free lucky draw.

To establish a brand’s fanbase, transactional details (unit-level data like the products bought, frequency of purchases) and social media reach and engagement statistics are used. This makes sourcing data on consumer behaviour, preferences and interest towards the brands they love the most, a herculean task, especially in emerging markets like Africa. Yet, local and international brands require data about market size and value, consumer profiles, interests and their preferences, and penetration of their competitors to establish their presence or expand into such markets.

To save brands from splashing huge amounts of spend on ads in established markets and entering emerging markets blindly, Luckydodo, a business intelligence startup, is out to bridge this gap by providing business insights backed by data collected directly from consumers.

We get users through a sign up on a free lucky draw website, and later a mobile app which has a Netflix-like UI/UX, which offers the possibility to anyone to win prizes at the Brands they love the most. And it’s totally free to participate. Users can win for free anything from a year's worth of petrol to a weekend in Disneyland, a Coca-Cola truck delivering a year's worth of Coca-Cola to a UEFA Champions League ticket.

The data we collect based on customer preferences to brands is then used to feed our business intelligence platform. Each brand can analyze their customers’ interest, demographics and compare these to their competitors. The brands can also target a marketing campaign to their most suited audience, as selected by AI, through email and SMS (contact information obtained through user sign up at start).

Some brands are using our platform to determine locations for expansion or where to invest to boost their competitiveness. Others are looking for new markets that are growing and have good demographics — regions where they can start establishing themselves to be able to capture future sales.

It is most of the time, a frustrating process to get valuable business insights on what consumers really love. Most available data, often collected by state agencies, is either outdated or focuses on general trends, and lacks the granularity that is needed to make accurate decisions. This is where Luckydodo makes the difference.

Launched in 2021, the startup is now scaling in the MENA region. We will also be available in markets like Europe & USA. 

https://www.luckydodo.com

Key highlights:

1) Successful proof of concept in Mauritius through Lucky.mu & Databox.mu (our business intelligence platform.

- In year 1, $700k income generated through advertising on Lucky.mu &

- 63% Mauritius population data collected (650K unique phone numbers & 500K emails).

- Partnerships with big brands in Mauritius: McDonald's, Shell, Domino's Pizza, Super U, Lindt and 44 others. 

2) Raised $1M in seed funding round to expand overseas.

3) Interest from big groups like KFC, Victoria Secret, Krispy Kreme etc from UAE and MasterCard Eastern Africa & Indian Ocean

4) Started conversation and scheduling to launch a universiy roadshow in Ivy Leagues in USA & UK (Harvard, MIT, Stanford, Oxford & Cambridge) to attract users for LuckyDodo.

5) Launching our ESG limb through a partnership with Colossal Biosciences (Dallas startup that raised $250M to de-extinct the dodo). 

6) LuckyDodo follows GDPR compliance for international expansion and applicable law of the region we operate.

 

2021
Mary-Queenie Adam
CEO & Co-Founder
Stephane Adam
Head of Strategy & Co-Founder
Dr. Sheen Gurrib
Chief Operations Officer
Adnaan Patel
Head of Search

Date de création

2021

Tags :

#BigData #AdTech #Intelligence Artificielle #SaaS #Apprentissage machine