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Taager Secures $6.75M To Expand Social eCommerce In MENA

The Pre-Series B funding round was led by Norrsken22 and will allow the company to enhance the platform while strengthening its data tools and team.

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taager secures $6.75 million to expand social ecommerce in mena

Riyadh-based social eCommerce platform Taager has successfully raised $6.75 million in a Pre-Series B funding round. The investment, led by Africa-focused growth fund Norrsken22, will help the company expand its operations further across the Middle East.

Taager allows would-be entrepreneurs to start their own dropshipping business, providing products, storage, shipping, and customer collection. However, unlike traditional platforms, Taager specializes in “social eCommerce” — a business model where products are bought and sold directly through social media platforms.

Social commerce merges online shopping with social interactions, significantly reshaping traditional online customer journeys. Globally, social eCommerce is projected to generate $2.5 trillion in revenue this year. In the MENA, it has already surpassed $14 billion, accounting for over 30% of all eCommerce sales.

Although MENA’s young, tech-savvy population is already purchasing products via social eCommerce, would-be entrepreneurs often face challenges starting a business in the region. Supply chains are complex, capital is limited, and gaining insights into the diverse range of consumer bases can be tough.

Taager tackles these pain points by offering an all-in-one platform that provides sellers with access to trending products, pricing and marketing insights, logistics solutions, embedded financing, and multi-market payment processing.

Also Read: Top E-Commerce Websites In The Middle East In 2025

Leveraging data gathered from thousands of merchants and millions of customers, Taager also uses machine learning to enhance product recommendations, optimize pricing, and predict buyer behavior. The company is also integrating generative AI into its operations, using AI-driven sales agents to improve efficiency while keeping costs in check.

The eventual goal is to establish Taager as a central hub for demand generation and data-driven decision-making in MENA’s social eCommerce ecosystem. Mohamed Elhorishy, Taager’s Co-founder and CEO, emphasized the company’s ambitious mission: “Our goal is to make it possible for anyone to launch and scale a successful social eCommerce business. We support women, young entrepreneurs, and low-income individuals in building sustainable sources of income. On average, Taager merchants have seen a 2.5x increase in profitability. Our platform has helped thousands achieve financial independence and stability”.

So far, Taager has supported over 45,000 online social sellers. With this latest round of funding, the company plans to strengthen its data tools, expand its product offerings, and grow its expert team to accelerate its regional impact.

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Instagram Now Lets You Tune Its Algorithm, But There’s One Big Catch

The new controls promise users “agency” over their feed, but asking to see more from accounts you actually follow returns an error.

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instagram now lets you tune its algorithm but there's one big catch
Instagram

Instagram has expanded its algorithm personalization feature to the main feed, letting users specify which topics they want surfaced more or less often in recommendations.

Instagram chief Adam Mosseri framed the change as a matter of user control. “I believe it’s in our best interest as a business to empower people to shape Instagram into something that works for them, and that people should be able to have a meaningful amount of agency over the products they spend so much time in,” he wrote on Threads.

Though it turns out that agency has limits. The controls only accept interest-based topics, such as “rescue dogs” or “parenting humor”. Requesting “posts from people I follow” returns no results, which is obviously a sore point for creators whose posts rarely reach their own audiences. Mosseri conceded the tension: “Who you follow used to be a meaningful tool people had for shaping their own experience, and as recommendations took over the main feed that tool quietly stopped working”.

Also Read: How To Find & Cancel Pending Instagram Requests

Instagram credits large language models for making its algorithms legible enough to personalize, and says it is “actively working on supporting requests for people, different moods or vibes, content types, and more” – potentially leading to a fully “bespoke” version of the app.

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