Ghada Ismail

Among the countless metrics startups track, few reveal as much about real customer sentiment as the Net Promoter Score (NPS). Unlike vanity metrics such as downloads, sign-ups, or even short-term revenue spikes, NPS goes deeper as it measures trust, satisfaction, and advocacy.

For early-stage founders, that distinction matters. You can buy installs or clicks, but you can’t buy genuine loyalty. NPS tells you whether customers are simply using your product or genuinely believing in it. It shows if your startup is building transactional relationships or further creating a community of promoters who will spread the word for free.

At its core, NPS helps answer a fundamental startup question: “Do people care enough about what we’re building to tell others about it?” The answer can shape everything from product decisions and customer experience to your long-term growth strategy.

How NPS Works

The Net Promoter Score is based on a simple question:

“On a scale of 0 to 10, how likely are you to recommend our product or service to a friend or colleague?”

Responses are divided into three categories:

• Promoters (9–10): Loyal fans who love your product and actively recommend it.
• Passives (7–8): Satisfied customers, but not passionate enough to promote it.
• Detractors (0–6): Unhappy users who are more likely to churn or leave negative feedback.

Your NPS is the percentage of promoters minus the percentage of detractors. Scores range from –100 to +100. Anything above 0 means more love than hate, and +50 or higher is considered excellent.

Why NPS Matters for Startups

For startups, every customer interaction counts. You don’t have the luxury of a massive brand reputation, where your users are your reputation. That’s why NPS is so valuable: it gives you an early pulse on customer satisfaction and helps you understand whether your product is delivering real value.

Here’s why it matters:

• Validates Product-Market Fit: A consistently low NPS might mean your product isn’t resonating deeply enough, even if usage looks good on paper.
• Guides Improvement: Feedback from detractors points directly to what’s breaking or frustrating users.
• Builds Investor Confidence: A strong NPS signals a loyal customer base, something investors see as a sign of growth stability.
• Drives Organic Growth: Promoters become advocates. In early stages, word-of-mouth marketing can make or break a startup.

When to Start Measuring NPS

The best time to start is as early as possible, even with just a few dozen users. Early NPS surveys can uncover insights that analytics tools can’t.

Ask yourself:

• Are customers finding real value in what we offer?
• What’s stopping them from recommending us?
• Are we creating promoters or passive users?

By tracking NPS early, startups can spot issues before they scale and ensure they’re building loyalty alongside growth.

How to Use NPS Effectively

To get the most out of NPS, make it part of your product’s rhythm, not just an occasional survey.

Here’s how:

• Time it right: Send the NPS survey after meaningful interactions, completing onboarding, using a key feature, or receiving customer support.
• Ask a follow-up question: “What’s the main reason for your score?” The qualitative feedback is often more valuable than the number itself.
• Act quickly: Reach out to detractors, thank promoters, and turn feedback into action.
• Monitor trends: The direction of your NPS over time matters more than a single snapshot.

What’s a Good NPS for a Startup?

There’s no universal benchmark, but here’s a rough guide:

• Above 0: You’re moving in the right direction.
• Above 30: Customers are happy and loyal.
• Above 50: Your product inspires genuine advocacy.

Remember that context matters. A young startup in a competitive market may score lower initially, but a steadily improving NPS indicates strong product and customer experience growth.

Turning NPS into a Growth Engine

NPS isn’t just a feedback tool; it’s a growth signal. When you consistently measure how customers feel and act on their input, you build a brand that listens, adapts, and earns loyalty. Over time, those promoters become your most powerful marketing channel.

In a world where attention is expensive and trust is rare, NPS helps startups focus on what truly drives retention and referrals: happy customers who believe in your mission.

Because in the end, your most valuable growth strategy isn’t ads, funnels, or virality, it’s a product people love enough to talk about.

Ghada Ismail

For many startups, landing a corporate client feels like a milestone. That moment when you go from scrappy beginnings to playing in the big leagues. It’s a sign that your idea works, your team delivers, and your brand is ready to stand alongside the giants.

But selling to corporates isn’t easy. It’s not just about having the best product or a breakthrough solution. It’s about trust, timing, and understanding how big organizations make decisions; slowly, carefully, and through layers of approval.

So, how do you step into this whole new level?

1. Understand the Corporate Mindset

Startups move fast, break things, and learn on the go while corporates don’t. They move through committees, compliance checks, and procurement gates. It’s not resistance to innovation; it’s rather risk management.

If you understand that, you’ll pitch differently. Corporates aren’t just buying creativity; they’re buying reliability. They want to know that working with you won’t introduce risk but instead remove it.

Show them how your solution makes their life easier: maybe it improves efficiency, reduces cost, or helps meet a strategic goal. Speak to what they value most.

2. Build Credibility Before You Pitch

Corporates rarely gamble on unproven startups. Before you knock on their door, make sure your reputation walks in first.

Collect small wins like pilot projects, testimonials, measurable results. Publish case studies that show your solution actually works in the real world. Even a few solid success stories can shift you from “risky startup” to “reliable partner.”

3. Start Small..Think Pilot Projects

When it comes to big clients, it’s often smarter to start small. A well-scoped pilot project is your best entry point.

It lets the corporate test your solution without major commitment and gives you a chance to prove value quickly. More importantly, it helps you find internal champions; people inside the company who’ve seen your results firsthand and can advocate for expanding your partnership.

4. Speak Their Language

Tech founders love talking about innovation, features, and performance. Corporates care about outcomes; efficiency, compliance, and return on investment.

Reframe your pitch around results. Instead of saying, “We use AI to automate processes,” say, “We cut processing time by 40%.”

Numbers and business impact speak louder than buzzwords. Keep it simple, clear, and outcome-driven.

5. Leverage the Right Platforms

You don’t have to break into corporates alone. Many are actively looking for startups to collaborate with — through innovation programs, accelerators, and ecosystem partnerships.

Government initiatives and national programs are designed to connect startups with large organizations. They give you access to mentorship, exposure, and opportunities to co-develop solutions that align with corporate needs.

These platforms not only open doors but also lend credibility proving that your startup is part of an ecosystem corporates already trust.

6. Build Relationships, Not Just Deals

Corporate sales are rarely quick wins. They’re marathons, not sprints. Deals take months, sometimes longer. But the wait pays off when it’s built on genuine relationships.

Don’t disappear between meetings. Keep in touch. Share updates about your growth, your new features, your latest achievements. Stay visible without being pushy.

Over time, these touchpoints build familiarity, and familiarity builds trust. When the timing is right, you won’t be a stranger pitching a product; you’ll be a known, credible partner.

7. Play the Long Game

Selling to corporates takes patience. There will be delays, revisions, and more paperwork than you ever thought possible. But once you’re in, the rewards are worth it: steady revenue, stronger credibility, and access to larger markets.

Every corporate deal you close becomes a signal to others that you can deliver at scale. It’s not just a contract; it’s a stepping stone to the next opportunity.

Wrapping Things Up…

Breaking into the corporate world isn’t about being the loudest startup in the room; it’s about being the most dependable, adaptable, and value-driven.

If you can combine startup agility with corporate reliability, you won’t just sell to big companies; you’ll grow with them. And that’s how small innovators become big players.

Noha Gad

The global digital payments landscape is witnessing a remarkable transformation in recent years, revolutionizing the way consumers and businesses transact. Recent reports by Statista anticipated the total transaction value in the digital payments market to hit $38.07 trillion by 2030, with a CAGR of 13.6% between 2025 and 2030. Mobile Point-of-Sale (PoS) payments, which represent the largest share in the digital payments market, are projected to achieve a total transaction value of $12.56 trillion in 2025.

The transformation in the digital payment market mirrors the growing preference for faster, frictionless payment methods, supported by innovations in AI for fraud detection and the integration of payment technologies into everyday life. 

Within this transformative digital payment environment, invisible payments emerged as the next significant leap, allowing purchases to be billed automatically based on user behavior or context. 

What are invisible payments?

Invisible payments refer to transactions that happen seamlessly in the background, without requiring consumers to physically interact with a payment terminal or even consciously initiate the payment. They are designed to eliminate the traditional manual steps involved in making payments, such as clicking, entering card details, or scanning QR codes, leveraging emerging technologies, such as the Internet of Things (IoT) sensors, AI, biometrics, and pre-registered payment accounts.

These payments offer consumers a frictionless experience, enabling them to enjoy services or purchase products without explicit payment actions at the point of sale (PoS).

How do invisible payments work?

Invisible payments are enabled through cutting-edge technology that links the user's payment method with specific triggers, such as location, biometric authentication, or device sensors. This swift process includes: 

• Setup and registration. Consumers register their payment details once, often during account creation on the service platform or application.
• Contextual triggers. Once set up, the system activates based on contextual cues such as entering a store, picking items, or starting a ride. Then, sensors, cameras, and IoT devices detect user actions or presence, while AI algorithms analyze this data in real time.
• Authentication methods. Biometric authentication or device-based authentication is often used to confirm the user’s identity with high confidence.
• Automatic billing. The system automatically processes the payment in the background, charging the user's pre-registered account without any further manual input.​
• Confirmation and sending receipts. A digital receipt is sent post-transaction, providing transparency while maintaining the seamless experience

Benefits of invisible payments

Invisible payments offer several benefits for both consumers and businesses, ultimately enhancing the payment experience through seamless technology integration. For consumers, invisible payments offer:

-Convenience and speed. By eliminating manual entry of payment details and physical actions, invisible payments allow consumers to pay effortlessly, speeding up checkouts in retail, ride-sharing, and online shopping environments.

-Enhanced customer experience. This type of payment enables customers to enjoy a hassle-free shopping experience.

-Improved security. Invisible payments safeguard transactions and minimize errors and fraud risks by leveraging biometrics, encryption, tokenization, and automated fraud detection.

For businesses, invisible payments offer:

-Faster payments and improved cash flow. These payments enable businesses to receive funds quickly and manage cash flow more effectively.

-Enhanced operational efficiency. Automation reduces the manual workload around payment processing and invoicing, saving time and resources.​

-Robust relationships with suppliers. Faster and accurate payments strengthen trust and partnerships with suppliers.

By integrating with IoT devices, mobile applications, and wearables, invisible payments are expected to expand their reach, enabling innovations beyond subscriptions or retail checkout. This transformation will significantly redefine the way consumers interact with commerce in everyday life, making payments a fully automated and invisible part of the experience.

Technological advancements will play a crucial role in shaping the future of invisible payments. For instance, AI-powered payment orchestration will optimize authorization in real-time, enhancing approval rates and reducing friction during checkout, while biometric authentication, such as facial recognition and fingerprints, will replace passwords and PINs, offering faster, safer payments.

Finally, invisible payments are anticipated to support a borderless financial ecosystem, making cross-border transactions as seamless as domestic ones, backed by the rise of Central Bank Digital Currencies (CBDCs) and regulatory advancements.

Noha Gad 

Loyalty and reward programs in the Europe, the Middle East, and Africa (EMEA) region are evolving rapidly, triggered by shifting consumer expectations for hyper-personalized, seamless, and engaging experiences. As businesses seek to deepen customer relationships amid increasing digitalization and competitive markets, loyalty platforms go beyond simple points systems to deliver meaningful value that resonates with today’s diverse consumers.

Dsquares transforms the loyalty sector by offering an end-to-end B2B loyalty and rewards solutions that cover the entire program lifecycle. This comprehensive approach, combined with deep regional expertise, enables Dsquares to create truly personalized, impactful loyalty programs that drive business growth and customer retention.

In this regard, Sharikat Mubasher interviewed with CEO Marwan Kenawy to dive deep into Dsquares’ innovative approach and diverse offerings, and to discover key trends and challenges in the loyalty and rewards realm across the region. 

First, can you tell us more about Dsquares’ offerings and how it differentiates itself from other loyalty and rewards companies in the region?

Dsquares is an end-to-end B2B loyalty and rewards solutions provider established in 2012 and serving clients in over 16 countries. We are trusted by Fortune 500, multinationals, and global giants as we offer end-to-end tailored loyalty solutions to drive business growth.

By end-to-end, we mean that we do not just offer software; rather, we manage the entire lifecycle of a loyalty program, giving our clients the flexibility and peace of mind to focus on their business and leave the customer acquisition and retention to us. Our offerings include: 

• Strategic commercial planning: from strategy building and market analysis to program design and performance.
• Technology and solutions: our modular technology covering traditional loyalty mechanics, customer engagement solutions, short and long-term loyalty campaigns, rewarding solutions, and advanced data and analytics solutions. All running on Dsquares AI engine.
• Field operations: from on-ground execution and program setup and management to anomaly detection and quality control.
• Merchant management: with an extensive network of over 25,000 merchants and brands across the MENA region, we manage the end-to-end relationship for our clients, from onboarding to enablement, to legal, to payments.
• Customer success management: where we have dedicated account managers working with our clients to ensure program optimization, providing timely analysis on enhancements to ensure our clients get the best program.

What makes us different is our end-to-end capabilities. We provide a fully managed service and own deep regional expertise and presence, with a team of certified experts. This is crucial for designing effective programs leveraging our unmatched understanding of local markets, consumer behavior, and business cultures, in addition to our extensive and diverse merchant network, which is the biggest in the region. There is a saying that “a loyalty program is only as good as its redemption options”. Well, we make it simple, effective, and diverse, catering to every persona and making sure our clients’ customers get rewarded from the brands they love. 

How does Dsquares harness AI and data analytics capabilities to transform the loyalty and rewards industry?

At Dsquares, we leverage AI and data analytics as the core engine of our technology for all our solutions. We use it to transform loyalty programs from simple transactions to smart systems that foster and grow customer relationships by personalizing their experience and journey, proving ROI, all while ethically acquiring zero-party data. 

Some of the use cases where we stand out are:

• Prescriptive analytics: leveraging C-cubed, our campaign management system, we are able to analyze customers’ behavior and predict what they might do, while recommending the actions to take. For example, detecting that a high-value customer has a high percentage of churning, our solution flags this and prescribes the right actions to take, which could be an offer from their favorite brand, a trigger of a challenge, or a surprise experience. 
• Dynamic loyalty: where every message, reward, offer, or challenge is customized per individual, not per segment. Making it a truly hyper-personalized experience for all customers, directly addressing the modern consumer’s expectation to be recognized as an individual. An example here is the work we have done with ExxonMobil for their traders program. Leveraging Dynamic loyalty, we combined tiered rewards, KPI-based challenges, and gamification tied to purchasing specific products (SKUs), driving targeted growth and a 2x increase in monthly engagement. 

We are using AI to ethically acquire zero-party data. We do this by using analytics to design engagement strategies that customers willingly opt into, solving the data privacy challenge. 

An example here is a short-term loyalty campaign we ran for Pepsi in Saudi Arabia. They are the official sponsor for the Saudi League, and they wanted to push sales and gather data about their customer. Only, they had to earn the privilege to get this data. So, we built a gamification strategy to engage Saudi league fans and reward them instantly by completing personalized challenges upon buying Pepsi cans. Fans eagerly shared their data to make use of the surprises they were getting.

What are the key challenges businesses face when implementing loyalty programs, and how does Dsquares tackle them?

Based on our experience, businesses often encounter these four major challenges. Our entire business model is designed to overcome these challenges as an expert partner.

     -Complexity of End-to-end management
Many companies underestimate the effort required to run a loyalty program. It is not just an app or a points system; it involves strategy, technology, merchant acquisition, operations, and continuous optimization. 
As mentioned before, this is our core differentiator. We provide a fully managed, end-to-end model, allowing our clients to focus on their core business while we manage the entire loyalty journey on their behalf.

     -Creating real value and personalized experiences for customers
One of the most common challenges we have seen is programs that offer little to no value for their customers or those that are similar or redundant to their competitors. Customers are expecting brands they love to offer them programs that recognize them as individuals and give them hyper-personalized, relevant experiences.
Our engagement solutions, including AI-powered personalization and Dynamic loyalty, gamification, and experiential rewards, as well as our extensive merchant network and our smart campaign engine, help us build value for our customers. By understanding their preferences and behavior, we can predict their needs, offer personalized recommendations, incorporate engaging connections, and offer rewards based on their individual interests. This helps build emotional connections with the brand.

     -Data Silos and Proving ROI
To date, many businesses see loyalty as a “nice to have”. However, when implemented correctly, loyalty solutions can play a significant role in every business strategy. Businesses also have their customer data locked in separate systems. Without a unified view, it is impossible to truly understand the customer or prove the financial impact of the loyalty program. 
With our Dsquares AI engine at the core of all our solutions, we built an analysis platform that builds a 360-degree view of the client, integrating data from every touchpoint, from acquisition, retention, engagement, and supports the integration with key data sources. This breaks down the silos, which is not only essential for effective personalization but also helps create value for brands.
In addition, we have the live reporting tools to estimate, measure, and report on the program's financial performance. This directly links loyalty activities to business outcomes like increased customer lifetime value (CLV), reduced acquisition costs, and protected revenue, satisfying CFOs and proving clear ROI.

     -Acquiring zero-party data and building trust
The increase in data privacy regulations, the rise of Web 3.0, and the different law requirements per country are all challenges facing any business, and without data, it is hard to grow a business. Brands need their customers to willingly share their data and preferences in order to grow. And this is where Dsquares can help through value exchange and loyalty. As mentioned before, building the right strategy that delivers unique value to customers makes them want to share their data. We help clients design programs and campaigns that offer personalization and valuable experiences that customers are incentivized to share their data, making loyalty programs a strategic asset for building direct, trusted customer relationships.

What are the biggest opportunities and key trends that could reshape the loyalty and rewards market in Saudi Arabia and the wider GCC region?

The loyalty landscape in the region is being fundamentally reshaped by a shift in buyer behavior, placing customer-centricity at the core of all key trends. 

     -The rise of zero-party data as a strategic asset
Brands need reliable, consented customer data to make informed decisions and personalize their customers’ experiences. The new data privacy rules are making it a challenge. 
Opportunity: positioning loyalty programs as the primary value-exchange mechanism for acquiring zero-party data. Customers will be more willing to share their preferences, interests, and behaviors in exchange for a more personalized and rewarding brand experience.

     -Hyper-personalized experiences 
This is about delivering a unique, relevant experience to every single customer in real time. 
Opportunity: Loyalty engagement solutions can act as the central hub, unifying touchpoints, treating customers as individuals, not segments, providing seamless omnichannel experiences, and recommending the actions to take next. This ensures a consistent loyalty experience whether a customer shops online, in-store, or through an app. This 360-degree customer view is invaluable for brands.

     -Rise of partnerships and coalition loyalty
This is a key trend, and we have seen brands creating ecosystems of value through strategic partnerships. These partnerships can add value for both the brand and the customer, and this is a trend that will continue to grow over the coming years. In the GCC, the market has been shifting to a mindset where businesses collaborate in loyalty to compete more effectively in a crowded market.
Opportunity: Partnerships help address modern consumers who have diverse loyalties and do not want to be locked into one brand silo. They also increase the value of the program and combat the digital clutter, which is a rising challenge for marketers globally. It also opens more value for zero-party data, enabling all partners to build richer, more holistic views of their shared customers.

     -Shift from transactional to experiential loyalty
GCC consumers are increasingly looking for value beyond discounts. They are looking for brands that understand their lifestyle and create memorable experiences, whether by unique recognition, status, exclusive access to events, or even meeting their favorite celebrity. 
Opportunity: offering experiential and emotional loyalty, through tiered programs with VIP status offering exclusive benefits, gamification to create engaging challenges and rewards, unique experiences like meet and greets, event tickets, limited edition products, or private shopping.

     -Alignment with national economic visions
Most of the GCC countries have their national agendas, such as the Saudi Vision 2030, with the focus on diversifying the economy, increasing digital transformation, and boosting tourism.
Opportunity: loyalty programs are actually the perfect tool to support these goals by:

1. Driving financial inclusion by incentivizing digital payments. An example is a project we had with Egypt Post, where citizens were rewarded for digitizing their payment experience. The more you spend digitally, the less you withdraw, the more you get rewarded. This helped in banking adoption, specifically in the rural areas.
2. Boosting tourism and entertainment through creating destination-based loyalty solutions and campaigns that reward tourists for spending across hotels, excursions, and retail, and drive people to visit the country through value-based campaigns.

How does Dsquares plan to scale its technology infrastructure to support future growth?

When it comes to scaling our technology, we are building on our Modular, Intelligent, Automated, API-First architecture, driven by our AI-powered engine. 

Our modular approach helps us to scale by easily adding features, services, or entire modules without disrupting the entire system. This enables us to quickly adapt to markets and new market demands.

Our API-driven approach makes it easy to integrate with a vast array of partner systems, scaling our solutions to fit every client’s needs. We give the flexibility to our clients to have their technology hosted online, on premises, or as a hybrid model. 

We are deeply investing in AI and automation. This helps us manage complexity intelligently. Also, we automate our core functions from automated personalization, anomaly and fraud detection, and operational efficiency, which thereby allow us to protect the ecosystem as it grows, leverage AI to prescribe the right triggers making campaigns efficient at scale, and reduce operational overhead.

Dsquares relies on building a robust data infrastructure that integrates data from countless sources and becomes more valuable with scale, in addition to providing deeper insights while helping to train our AI models, ultimately making their predictive and prescriptive analytics even more accurate. 

We are investing in next-generation tools such as advanced gamification and real-time campaign management to ensure the platform can support the future of engagement, which we see will be more immersive and data-driven.

Additionally, we plan to maintain quality, performance, and security, and obtain the required enterprise-grade certifications.

How do loyalty and rewards contribute to enhancing the digital economy in countries where Dsquares operates?

First, they contribute to driving financial inclusion and digital payment adoption. In many of Dsquares' markets, a significant portion of the population is unbanked or underbanked. Loyalty programs act as a powerful incentive to bring these users into the formal digital economy. For instance, programs linked to financial and banking services, like Egypt Post, reward citizens for any digital transaction they perform with rewards from merchants that link to their lifestyle. Similarly, programs linked to telecom services, like Vodafone, enable users to earn points for using a mobile wallet, paying a bill online, or sending money digitally, making these behaviors habitual. As a result, loyalty and reward programs contribute to reducing reliance on cash, moving them to use digital wallets, credit cards, and applications, in addition to increasing the volume of formal digital transactions. They also help central banks and governments achieve their financial inclusion targets. 

Second, these programs play a pivotal role in supporting and digitizing Small and Medium Enterprises (SMEs) through strategic partnerships. Acquiring customers and competing with larger brands are key challenges for SMEs. So, being part of a large loyalty merchant network or a coalition loyalty program managed by a company like Dsquares gives them instant access to a vast customer base. For example, local restaurants or boutiques can become a redemption partner in major loyalty programs of banks and other industries. This can help in driving foot traffic and sales from high-value customers they would not normally reach, and encourage cooperation rather than competition between local and large brands. 

Third, loyalty and reward programs help SMEs digitize their operations by using points as a currency, enabling them to grow in alignment with the economic diversification goals in many countries. Such programs can also increase flexibility for consumers and foster engagement across different sectors, where SMEs are collaborating with major brands, banks, telcos, oil and gas companies, and more. 

Finally, coalition loyalty programs can heavily promote tourism in GCC countries by attracting and rewarding tourists. Tourists can earn a unified loyalty currency for spending on flights, hotels, attractions, and retail within the country. This will eventually encourage longer stays and higher spending, and boost the digital tourism economy by creating a seamless, rewarding digital experience for visitors.

Noha Gad

Influencers have commanded social media in recent years, setting trends and guiding their followers’ shopping habits with the content they post, ultimately supporting an industry worth over $35 billion as of 2025, as stated in a recent report by Influencer Marketing Hub.

The influencer marketing ecosystem stands at an inflection point, triggered by groundbreaking technological advancements, changing consumer behaviors, and increasing demands for accountability. This shift underscored the critical need for brands to diversify their strategies and highlighted the emergence of AI influencers to fulfill brands’ need for more control, scalability, and flexibility in digital marketing.  

Human influencers are subject to unpredictabilities such as changing personal circumstances, reputational risks, or limited working hours. In contrast, AI influencers are always available, never age, and can instantly adapt their messaging to suit a brand’s image or campaign needs, facilitating seamless communication in different languages and allowing companies to ensure consistent representation.

What are AI influencers?

AI influencers, also known as virtual influencers, are computer-generated characters that promote products on social media. Often created with computer-generated imagery (CGI), motion capture, and generative artificial intelligence, and other forms of AI, these digital characters are designed to behave the way a human influencer would online, offering brands a unique way to connect with consumers.

With millions of followers engaging with their content and purchasing the products they promote, these innovative tools help brands to better connect with audiences in an increasingly saturated social media space.

AI influencers come in all shapes and sizes, ranging from cartoonish 3D characters to photorealistic images. They look and behave the way real people do online, but their appearance, personalities, and content have been carefully designed to appeal to a specific audience, particularly Gen Z and Gen Alpha.

The rise of AI influencers has already begun to reshape digital marketing on a global scale across various sectors, notably fashion and technology, demonstrating the value and versatility of virtual personalities in modern campaigns. AI influencers offer creative opportunities in futuristic settings and storytelling that human influencers cannot replicate; however, their adoption also presents new ethical questions about transparency, authenticity, and the impact on human content creators.

How AI influencers transform digital marketing

Brands utilize AI influencers for inclusive, creative storytelling and hybrid campaigns alongside human content creators, leveraging AI influencers’ capability to amplify core brand values such as innovation, inclusivity, and self-expression, while maintaining a distinct futuristic appeal.

Giveaways, contests, and experiential marketing formats are popular for boosting engagement and community interaction. In typical giveaways, AI influencers invite followers to participate for a chance to win exclusive products or experiences, driving viral reach and growing brand followings rapidly. In product reviews and unboxing campaigns, AI influencers seamlessly script unboxing experiences with highly visual, on-message presentations, providing consistency in tone and detail that human influencers may find difficult to match at scale. 

Characterized by ultra-personalization and scalability, AI influencers can dynamically address audiences in different languages, adapt campaign content based on sentiment analysis, and offer instant replies to DMs or comments, fostering a sense of one-on-one interaction. This adaptability and automation position AI influencers at the forefront of next-generation marketing, making them the perfect choice for large-scale awareness campaigns, niche-targeted promotions, and cross-platform storytelling efforts.

Human influencers and AI

Most of the marketing strategies nowadays combine virtual and human creators to maximize reach, authenticity, and engagement. Instead of replacing human influencers, AI-powered personas are being used to complement them, creating hybrid campaigns that leverage the strengths of both. 

This innovative tool analyzes vast datasets, including engagement rates, audience demographics, and content performance, to identify the most suitable human influencers for a brand, ensuring alignment with campaign goals and target audiences. It reduces the risk of mismatched collaborations and improves overall campaign effectiveness.

Additionally, AI-based platforms streamline communication by generating personalized messages to influencers based on their content style and audience profile. They also assist in brainstorming campaign ideas, optimizing posting schedules, and even drafting captions.

In hybrid campaigns, AI and human influencers collaborate on shared content, such as joint social media posts, live streams, or storytelling series, humanizing the AI influencer while amplifying the human creator’s reach through exposure to new, tech-savvy audiences.

Successful campaigns balance between AI efficiency and Human creativity, excelling AI at scalability, personalization, and performance prediction. Nevertheless, human judgment remains essential in evaluating brand fit, cultural relevance, and narrative authenticity. 

Future outlook

As generative AI advances, AI influencers are expected to be more dynamic, capable of live-streaming, responding to audience sentiment, and adapting messaging based on real-time engagement analytics. These advanced tools will offer creative control, eliminating concerns about scandals or scheduling conflicts, while enabling 24/7 interaction through AI chatbots and real-time content generation.

Also, hyper-personalization will define the next generation of influencer marketing, with AI tailoring content based on real-time signals such as browsing behavior, geolocation, and device type. 

Finally, the integration of AI into influencer marketing represents a significant change in how brands connect with audiences, leveraging AI-powered influencers to offer unmatched scalability and enhance effectiveness. Brands that embrace hybrid strategies, combining the authenticity of human creators with the precision and efficiency of AI, will be well-positioned to deliver personalized, engaging, and ethically sound campaigns.

Noha Gad

Digital wallets have become central to the way consumers conduct payments and manage their finances, offering convenience and seamless digital transactions. Their widespread adoption in retail, banking, and peer-to-peer transfers has made them a preferred alternative to cash and physical cards. 

These wallets handle increasing volumes of sensitive financial data; thus, robust security measures cannot be overstated. Traditional password protections alone are no longer sufficient to combat sophisticated cyber threats and fraud schemes targeting these platforms.  

Emerging security technologies, such as multi-factor authentication (MFA), decentralized identity (DID) solutions, artificial intelligence (AI), machine learning (ML), and tokenization, are addressing these demands by introducing multi-layered protection methods.

Multi-factor authentication (MFA)

The MFA technology significantly enhances digital wallet security by requiring users to verify their identity through multiple independent factors before granting access. Common MFA methods in digital wallets include one-time passwords (OTPs) sent via SMS or email, biometric verification through fingerprint or facial scans, and hardware tokens that generate secure codes. This layered approach makes unauthorized access much more difficult for attackers.

Another type of factor used is certificate-based authentication, which relies on a digital certificate, also called a soft token, to identify a user, machine, or device before granting access. Most enterprise solutions already support certificate-based authentication, and many wallets, such as those by Google Pay and Apple Pay, deploy this in coordination with traditional methods such as a username and password/PIN. 

Although the integration of the MFA reduces fraud rates and unauthorized account access, challenges remain in ensuring universal adoption and maintaining user convenience without compromising security. As cyber threats become increasingly sophisticated, MFA represents a foundational barrier that protects users’ financial assets and sensitive information from theft and compromise. Its continued evolution and adoption will remain critical to maintaining trust in digital payment ecosystems.

Decentralized identity (DID) solutions

A decentralized Identifier (DID) is a unique identifier that can be issued by a decentralized platform and acts as proof of ownership of a digital identity. DID solutions use cryptography and distributed systems, often blockchain technology, to give individuals total control over their digital ID, which is seen as a more tamper-resistant and privacy-preserving method. 

Unlike traditional identity systems that rely on centralized authorities to issue and manage identities, decentralized identity empowers users to create, control, and manage their own digital identities without depending on any single entity. This shift reduces vulnerabilities inherent in centralized databases, which are prime targets for cyberattacks and data breaches. 

This modern approach enables individuals to have full ownership and control over their personal data, allowing them to decide what information to disclose, to whom, and for how long. For digital wallets, DID integration means users can authenticate themselves and verify transactions without exposing unnecessary personal or sensitive data, thereby reducing the attack surface and building user trust by preventing mass data leaks.

AI & ML in fraud detection

Artificial intelligence (AI) and machine learning (ML) play a pivotal role in advancing fraud detection capabilities within digital wallets as they analyze vast amounts of transactional data in real time and identify patterns and behaviors that deviate from normal usage. AI and ML algorithms can adapt to evolving fraud tactics, enabling proactive detection and prevention before fraudulent transactions are completed.

AI-driven systems harness advanced techniques such as anomaly detection, risk scoring, and predictive modeling to assess each transaction's legitimacy. This dynamic assessment improves the accuracy of fraud detection compared to static rule-based systems that may either miss complex fraud schemes or generate excessive false alarms.

Meanwhile, ML models in digital wallets leverage user behavior analytics, tracking factors like device usage, login patterns, and payment frequency to establish individualized risk profiles that distinguish genuine users from potential fraudsters more effectively, ultimately minimizing disruptions caused by unnecessary transaction denials. 

Integrating AL and ML technologies into digital wallets not only minimizes fraud losses but also promotes operational efficiency by automating risk management processes. These technologies are expected to offer more advanced defenses, including real-time threat hunting and adaptive authentication that dynamically adjusts security measures based on assessed risk levels.

Tokenization 

This technology is crucial for securing digital wallet transactions as it replaces sensitive payment information with unique, non-sensitive identifiers called tokens, which carry the necessary transaction data without exposing actual card numbers or bank details during payment processing. 

Unlike traditional encryption methods, tokenization stores actual account information in highly secure token vaults, isolated from merchants and payment processors.

Digital wallet providers have widely adopted tokenization to comply with stringent security standards such as the Payment Card Industry Data Security Standard (PCI DSS), enhancing consumer confidence and regulatory compliance. 

Along with protecting sensitive information, tokenization creates opportunities for innovative payment experiences, standing as a foundational security element that ensures transactions remain secure, seamless, and user-friendly.

Saudi Arabia has been significantly integrating emerging technologies to enhance the security of digital wallets, in line with Vision 2030’s goal of promoting a cashless society and digital economy. The Saudi Central Bank (SAMA) is a key contributor to this transformation, starting from regulating digital payment providers under comprehensive frameworks to creating an enabling environment for digital wallets to adopt advanced security technologies.

The Kingdom is actively incorporating AI and ML into the national fintech ecosystem to enhance transaction monitoring, fraud detection, and risk assessment, thereby increasing transparency and accountability while ensuring a secure cashless transaction environment.

Along with technology adoption, Saudi Arabia backs fintech innovation through significant investments supported by government entities and partnerships with regulatory bodies, aiming to stimulate the development and market reach of advanced digital wallet solutions incorporating MFA, AI, DIDs, and tokenization.

Finally, digital wallets continue to transform payments by merging convenience with cutting-edge security technologies to protect user data and ensure transaction integrity. These technologies provide a multi-layered defense framework that ensures digital wallets remain secure, seamless, and trustworthy in an increasingly digital financial environment. The integration of these multi-layered protections will definitely establish a strong foundation for sustainable digital finance growth, while prioritizing security innovation. 

Ghada Ismail

Artificial intelligence (AI) promises to reshape economies and societies in ways once unimaginable. For Saudi Arabia, it is also a tool to diversify its economy, boost productivity, and advance global competitiveness. Yet alongside opportunity comes risk, represented in bias, misinformation, privacy concerns, and job displacement. Building ethical AI is not optional; it is essential. The Kingdom is uniquely positioned to balance regulation, innovation, and responsibility as it pursues this AI-driven future.

A Rapidly Growing AI Ecosystem

Since its establishment by royal decree in 2019, the Saudi Data and Artificial Intelligence Authority (SDAIA) has been at the center of the Kingdom’s AI strategy. Its National Strategy for Data and AI (NSDAI), launched in 2020, set ambitious targets: ranking among the world’s top 15 AI nations by 2030, training 20,000 specialists, attracting SAR 75 billion in investment, supporting 300 startups, and driving scientific output.

Progress is already visible. SDAIA has forged partnerships with global players like Accenture to build national cloud infrastructure, IBM for energy and sustainability AI, and Google for earth observation and environmental protection. Saudi Arabia now ranks first worldwide for open data availability, hosting more than 11,000 datasets from nearly 300 entities. SDAIA’s environmental AI projects, such as the Smart Planet Program, predict vegetation changes with more than 90% accuracy, supporting sustainable planning.

The impact is tangible: over SAR 50 billion (~$13 billion) in cost savings across government operations, from the DEEM cloud platform to AI-assisted Hajj crowd management and the popular Tawakkalna app. AI is no longer abstract—it is woven into the daily lives of citizens and the functioning of the state.

Why Ethics Must Come First

With AI permeating sensitive domains like healthcare, mobility, and even Hajj safety, trust is the foundation of Saudi Arabia’s AI journey. Without safeguards, algorithms can entrench bias, erode privacy, or undermine fairness. Aligning AI with Vision 2030’s goals—social equity, inclusion, and quality public services—requires more than innovation. It requires ethics to be at the core of every deployment.

Governance and Guardrails

Saudi Arabia’s regulatory approach mixes centralized oversight with room for innovation. SDAIA, together with the National Data Management Office (NDMO), enforces data classification and ethical policies, balancing openness with security.

Beyond rules, SDAIA promotes dialogue through summits like DeepFest at LEAP 2025, where regulators, innovators, and academics engage on transparency, human-centric design, and responsible regulation. This positions the Kingdom not just as a user of AI but as a thought leader in its governance.

Innovation with a Cultural Core

Startups are embedding ethics into their products from the outset, supported by SDAIA’s regulatory sandboxes that allow real-world testing without stifling creativity.

One striking example is HUMAIN Chat, a chatbot powered by the locally built ALLaM-34B language model. Developed by a PIF-backed firm in collaboration with SDAIA, HUMAIN Chat is Arabic-first, supporting regional dialects while also functioning seamlessly in English. Unlike global tools, it integrates Islamic values and cultural heritage, ensuring its outputs resonate with local norms. Trained on proprietary Saudi datasets, it combines linguistic precision, cultural fidelity, and strong safety benchmarks—all hosted entirely within the Kingdom to guarantee data sovereignty.

From an ethical lens, HUMAIN and ALLaM represent an effort to define AI through local values, not imported defaults. By addressing bias, protecting user data, and embedding cultural authenticity, they show how responsible AI can reflect societal identity as much as technical standards.

To reinforce this ecosystem, SDAIA also certifies startups as ethical AI providers. Its accreditation framework awards annual “incentive tags”—from Conscious to Pioneer—that track a company’s maturity in embedding safeguards. These certifications turn abstract ethical principles into measurable progress, rewarding transparency and building public trust.

Responsibility Through People and Skills

Technology is only half the story; people complete it. Saudi universities are cultivating AI talent attuned to fairness and transparency. At King Saud University, Latifa Al-Abdulkarim, a rising leader in explainable AI and ethics, exemplifies this values-driven scholarship.

Meanwhile, SDAIA is widening access to AI careers. Its Elevate program, launched with Google Cloud, aims to train 25,000 women in AI over five years, with the first phase already reaching 1,000 women from 28 countries. Complementary programs at SDAIA Academy have certified nearly 2,000 more women in data and AI, embedding diversity and inclusivity into the Kingdom’s AI workforce.

Cultural and Religious Anchors

What sets Saudi Arabia apart is its decision to ground AI ethics not just in global norms, but also in Islamic values—justice, accountability, and transparency. This alignment enhances legitimacy and encourages societal acceptance, offering a model of ethics that could resonate across the Muslim world.

The Roadblocks Ahead

The momentum is strong, but challenges remain:

• Pace vs. oversight: Regulation must keep up with rapid innovation.
• Rules vs. enforcement: Without audits and accountability, standards risk being symbolic.
• Imported bias: Foreign algorithms, if unadapted, can embed cultural misalignment.
• Public trust: Ethical lapses in sensitive areas could erode confidence quickly.

Meeting these challenges will require continuous vigilance, independent auditing, and culturally sensitive design.

A Chance at Global Leadership

Saudi Arabia is not just participating in the global AI race; it is also shaping the conversation. Hosting platforms like GAIN and DeepFest, deploying culturally aligned AI models, and building regulatory infrastructure give the Kingdom a chance to lead by example. If it codifies regional standards and shares its framework internationally, Saudi Arabia could become the ethical AI hub of the Middle East, influencing emerging economies worldwide.

Conclusion: Ethics as an Accelerator

Far from slowing progress, ethical AI can accelerate it, ensuring that innovation unfolds responsibly, inclusively, and with social good at its heart. Saudi Arabia now has the foundations: governance, infrastructure, talent, and cultural legitimacy. The test will be sustaining enforcement, broadening public education, and adapting foreign technologies to local values. If successful, the Kingdom won’t simply join the AI elite; it could rather help define what responsible, values-driven AI looks like in the 21st century.

Ghada Ismail

If you’ve ever clicked that “return item” button after buying something online, you’ve already taken part in reverse logistics, even if you didn’t know the term existed.
For startups in Saudi Arabia and across the MENA region, this behind-the-scenes process isn’t just a technical detail. It’s quietly shaping customer loyalty, cutting costs, and even opening up fresh revenue streams.

So, What Exactly Is Reverse Logistics?

Think of it as the product’s journey home.
It’s what happens when goods travel from the customer back to you, for a refund, a repair, recycling, or proper disposal. Forward logistics moves products toward customers; reverse logistics does the opposite.

And in Saudi Arabia’s booming e-commerce scene — forecast to exceed SAR 50 billion by 2025 — returns are on the rise. Globally, between 15%–30% of online purchases get sent back. Our region is no different. For a young business, ignoring reverse logistics is like running a store with no door for customers to walk back in.

Why Startups Should Care

1. Winning Repeat Customers
Shoppers here expect convenience. If returning a product is quick and painless, they’ll come back. In a market where it costs a lot to win a customer, it makes sense to keep them.

2. Avoiding Operational Chaos
Without a plan, returns can become a nightmare between rushed pickups, lost items, and confused inventory systems. The earlier you set up a clear process, the fewer headaches later.

3. Saving Money and Going Green
Not every return is a loss. Many items can be refurbished, resold, or recycled. With Saudi Arabia’s Vision 2030 pushing sustainability, turning returns into a green initiative can pay off in more ways than one.

4. Learning from Every Return
Returns tell you a story: maybe a size runs small, maybe the packaging is weak, maybe delivery was too slow. Each one is a clue for improving your product and your service.

Making Reverse Logistics Work for You

• Team up with third-party logistics (3PL) providers: like Aramex, SMSA, or regional fulfillment startups offering returns as part of their package.
• Use tech:  apps like Fetchr or Quiqup make it easy to track returns, print labels, and keep customers updated.
• Be transparent: a clear, friendly returns policy on your website builds trust instantly.

A Saudi Success Story

One local example is Cartlow, a Riyadh-based re-commerce platform. Cartlow specializes in returned, overstock, and refurbished products, turning what could be waste into a profitable business.
By building reverse logistics into their model from day one, they’ve managed to partner with major retailers, process high volumes of returns efficiently, and resell items at discounted rates. Not only does this reduce landfill waste, but it also taps into a growing market of value-conscious shoppers. 

Wrapping things up…

Reverse logistics isn’t just an operational chore; it’s rather a powerful growth strategy. For startups in Saudi Arabia and the MENA region, nailing it early means happier customers, lower costs, and a stronger brand.
Because in business, just like in life, sometimes the way back is just as important as the way forward.

Ghada Ismail

Every founder loves seeing new customers roll in. But behind every click, sign-up, or sale, there’s a cost, and if you’re not keeping track, you might be spending more than you realize. That’s where Customer Acquisition Cost (CAC) comes in.

CAC is a simple but powerful metric: it tells you how much it costs to bring in one customer. Whether you’re running Instagram ads, hiring a sales rep, or giving first-time discounts, CAC gives you clarity on whether your growth is smart or just expensive.

How Do You Calculate Your CAC?

It’s easier than it sounds:

CAC = Total Marketing and Sales Spend ÷ Number of New Customers

Let’s say you spent SAR 10,000 this month on ads, influencer marketing, and sales tools, and that brought you 100 new customers.

Your CAC = 10,000 ÷ 100 = SAR 100 per customer

That means each customer costs you SAR 100 to acquire.

Why Startups Should Track CAC Closely:

 Your Cash Won’t Last Forever

Startups don’t have the luxury of unlimited budgets. If CAC is too high, you could run out of money before you ever turn a profit.

It Shows What’s Actually Working

When you measure CAC across different channels—like TikTok ads vs. referrals—you can see where you’re overspending and where you’re winning.

 Investors Look at This First

If you’re fundraising, investors will ask: “How much does it cost you to grow?” A healthy CAC shows that you’re not just growing fast; you’re growing smart.

What Counts Toward CAC?

• Paid ads (Google, Meta, TikTok)
• Marketing team salaries
•  Sales commissions
•  Content creation or influencer costs
• Promo codes or first-time buyer discounts

 You shouldn’t include things like product development, rent, or support for existing customers. CAC is all about getting new ones in the door.

Is Your CAC Too High?

To find out, compare it to your Customer Lifetime Value (CLTV), which is the total amount of money one customer brings in over time.

As a general rule:
LTV should be at least 3x your CAC.

If one customer brings you SAR 300, and it costs you SAR 100 to acquire them, you’re doing just fine.

How to Bring CAC Down

• Lean into organic growth: like SEO and customer referrals
• Fix leaks in your system: make sign-up or checkout easier
• Get specific with targeting: so you’re not wasting budget on the wrong people
• Retain your customers: happy users become your cheapest marketers

Conclusion: Don’t Just Chase Growth, Understand the Cost First

When you’re running a startup, every riyal matters. CAC isn’t just another marketing number; it’s rather a reflection of your strategy. It shows you where to invest, where to cut back, and whether you’re building something sustainable.

So track it. Understand it. And make sure that as your startup grows, your cost to grow doesn’t go out of control.

Kholoud Hussein 

Launching a startup is an exhilarating experience — full of passion, ambition, and endless to-do lists. But while every founder dreams of building the next big success story, statistics show that over 90% of startups fail, many within the first few years. Often, the reason isn’t bad luck or external threats; it’s internal missteps that slowly undermine the business from within.

Whether you're a first-time founder or a seasoned entrepreneur, here are 18 critical mistakes that can quietly — or suddenly — kill your startup:

1. Building a Solution for a Nonexistent Problem

Many founders fall in love with their idea without validating market demand. If your product doesn’t solve a real, painful, and frequent problem, it won’t gain traction, no matter how innovative it is.

2. Ignoring Customer Feedback

Even if you launch with the perfect product, failing to adapt based on user feedback means you're not evolving. Startups that don’t listen, iterate, or pivot quickly fade away.

3. Choosing the Wrong Co-founder

Co-founder conflicts are among the top reasons startups fail. Misaligned values, egos, or unequal commitment can poison the team from within.

4. Hiring Too Fast or Too Soon

Premature hiring — especially before product-market fit — can drain cash and create inefficiencies. A bloated team can sink a young company fast.

5. Lack of Focus

Trying to do too many things at once often means doing none well. Startups should focus on solving one core problem brilliantly before scaling horizontally.

6. Burning Through Cash Without Discipline

Raising funding isn’t the goal — building a sustainable business is. Poor cash flow management, unnecessary expenses, or hiring without revenue plans can lead to quick bankruptcy.

7. Ignoring the Competition

Thinking you have no competitors is naive. If your problem is real, someone’s either already solving it or about to. Ignoring competition blindsides you to market movements.

8. Not Knowing Your Metrics

If you don’t know your CAC, LTV, churn rate, or burn rate, you’re flying blind. Numbers help you make better decisions and attract smarter investors.

9. Weak Branding and Messaging

A great product with poor messaging won’t resonate. Your brand, positioning, and storytelling are just as important as your code or design.

10. Failing to Market Early

"Build it and they will come" is a myth. Start building your audience and generating awareness before you launch.

11. Underestimating the Sales Process

Many startups focus heavily on product development and overlook sales. But no matter how good your product is, if you can’t sell it, you won’t survive.

12. Overcomplicating the Product

Feature overload can lead to confusion, bugs, and longer development cycles. Simplicity is often a startup’s biggest strength.

13. Ignoring Legal and Compliance Issues

From IP ownership to data protection laws, early negligence in legal matters can lead to lawsuits or operational shutdowns later on.

14. Choosing Investors Poorly

The wrong investor can pressure you into growth-at-all-costs, take over your board, or interfere with your vision. Money is important — but so is alignment.

15. Scaling Prematurely

If you scale (team, marketing, product) before hitting product-market fit, you risk burning resources on a model that doesn’t work.

16. Lack of Resilience or Patience

Startups are marathons, not sprints. Founders who expect overnight success may quit when the inevitable rough patches appear.

17. Neglecting Company Culture

In early-stage startups, culture is formed by default or by design. Toxic culture, lack of transparency, or unclear communication can break down even the most promising teams.

18. Failing to Adapt

Markets change. Technologies evolve. Consumer behavior shifts. Startups that are rigid, slow, or resistant to change don’t last.

Most of these mistakes are avoidable — but only if you're honest about them. Building a startup is as much about strategic discipline as it is about having a clear vision. Founders who remain humble, data-driven, and open to learning from failure are those who beat the odds.

A startup doesn’t die in a day. It dies by a thousand small cuts, many of which are listed above. Spot them early, course correct when needed, and always stay close to the problem you're solving and the people you're solving it for.

Ghada Ismail

If you’re building a startup, you’re probably focused on growth. Watching your user numbers tick up, getting excited about new downloads, seeing traffic rise—it feels good. But here’s the thing most founders overlook: growth doesn’t matter if people don’t stick around.

You spend time and money getting people to try your product. But what if they quietly disappear after a week or two? No complaints. No goodbye. Just... gone. That silent exit? That’s called churn.

For early-stage startups—especially those with subscription models or digital platforms—retention matters as much as acquisition, maybe even more. But too many teams fall into the trap of chasing new users without realizing their existing ones are slipping away.

This is why understanding your churn rate is so important. It’s not just something your growth lead or investor should care about. It’s a core signal about whether your product is delivering real, lasting value.

Let’s break down what churn rate actually means, how to calculate it, and what you can do to improve it.

What Is Churn Rate?

Churn rate is the percentage of users or customers who stop using your product over a certain time period.

Here’s a simple way to calculate it:

Churn Rate = (Customers Who Left ÷ Customers You Had at the Start) × 100

Example:

Let’s say you started the month with 100 customers. By the end of the month, 8 of them stopped using your product.

Churn Rate: (8÷100)×100=8%

That’s your monthly churn rate: 8%.

Why Churn Rate Matters for Startups

1. Acquiring Users Is Expensive

You’ve spent money on ads, time on outreach, maybe even given away discounts. When a customer leaves quickly, you’re losing all that effort. And it adds up fast.

2. It Kills Growth

It’s hard to grow if your users keep leaving. You might feel like you're getting traction, but if your churn is high, you’re just running in place.

3. It Reveals Product Problems

Churn is often a signal that your product isn’t solving the user’s problem—or isn’t doing it well enough. If users leave, they’re voting with their feet.

4. Investors Pay Close Attention

If you’re raising funds, expect VCs to ask about your churn rate. It’s one of the quickest ways to assess whether your business has real staying power.

How Can You Reduce Churn?

Here are a few ways to plug the hole in your bucket:

• Nail your onboarding.
  Make it ridiculously easy for new users to get started and see value right away.
• Talk to churned users.
  Ask them why they left. You'll be surprised how many are willing to tell you.
• Build “stickiness” into the product.
  What brings users back? Reminders? New content? Useful alerts? Find it—and double down.
• Support matters.
  Quick, helpful responses build trust and can often prevent a user from leaving.
• Win them back.
  Re-engagement emails or offers can remind users why they signed up in the first place.
• Track usage signals.
  If someone hasn’t logged in for a week, don’t wait until they’re gone—check in early.

Wrapping things up…

Churn rate isn’t just another dashboard metric; it’s your product’s reality check. It tells you if people are finding enough value to stick around. And for any startup trying to grow in a noisy, competitive world, that’s everything.

Before you pour more budget into customer acquisition, take a closer look at the people already using your product. Are they happy? Are they staying? If not, it’s time to dig deeper, fix what’s broken, and build something worth coming back to.

Ghada Ismail

Before you raise millions, rent a fancy office in Riyadh Boulevard, or post a selfie with your new accelerator badge, there’s one thing your startup absolutely needs to figure out: Product-Market Fit.

It’s the one milestone that separates startups that grow steadily from those that burn out after the hype fades, so let’s talk about what Product-Market Fit (PMF) really is, why it’s especially critical in Saudi Arabia and the wider MENA region, and how you can tell whether you’ve found it or if you’re just hoping you did.

What Exactly Is Product-Market Fit?

Product-Market Fit happens when your product doesn’t just work..it clicks! People don’t just use it, they rely on it. They tell their friends about it. They’d be genuinely upset if it disappeared tomorrow.

Marc Andreessen, the investor who coined the term, summed it up perfectly:

“Product-market fit means being in a good market with a product that can satisfy that market.”

In the Saudi and MENA ecosystem, PMF is often misunderstood. We see plenty of startups get early attention—thanks to grants, accelerator programs, or investor buzz—but haven’t yet proven that they’re solving a real pain point.

But the truth is: if your product isn’t delivering real value, you don’t have PMF. And without it, the rest doesn’t matter.

How to Know If You’ve Hit PMF 

In this region, it’s easy to mistake early buzz for true traction. You might have app downloads, a press feature, or even an MoU with a big-name entity. But none of those things mean PMF.

Here’s what real PMF looks like in the Saudi or MENA context:

• People use your product regularly, even when there’s no discount.
• You start growing in second-tier cities, not just Riyadh or Dubai.
• Users refer their friends, or even offer to invest.
• Retention is solid. People aren’t just signing up, they’re staying.
• You get messages like: “Where have you been all this time?” or “Please launch this in Khobar!”

How to Actually Measure PMF

PMF isn’t just a feeling, it shows up in your numbers and your users’ behavior.

Here’s what to look for:

1. User Retention
Do people come back without you reminding them?

2. Organic Growth
Are users telling their friends? Are you seeing signups you didn’t pay for?

3. Revenue Consistency
Is your revenue growing from actual usage, not casual promotions?

4. Product Engagement
Are users using core features deeply, or just logging in once and ghosting?

5. Feedback That Hurts (In a Good Way)
When people complain, demand features, or get upset when something breaks, it means they care.

PMF ≠ MVP (Please Stop Mixing Them Up)

In this ecosystem, it’s common to confuse Minimum Viable Product (MVP) with Product-Market Fit. But they’re not the same.

Your MVP is your early prototype; it’s there to test if the idea makes sense.

PMF is when the market tells you it wants what you’re building and wants more of it. It’s when the demand becomes real, not just theoretical.

You don’t get PMF just because you have an MVP. You get PMF when users come back to it again and again, even if the design isn’t perfect or you’re still operating from your living room.

To Wrap Things Up…

Product Market Fit is not just a milestone; it’s the foundation of everything that follows. Without it, your startup is just a project with potential. With it, you have a business that can grow, attract investment, and stand out in an increasingly competitive market. In Saudi Arabia and the broader MENA region, where ecosystems are rapidly evolving, achieving true Product Market Fit means you’re solving a real problem in a way that users care about. It shows in their behavior, their loyalty, and their willingness to spread the word. Before you scale, pitch, or celebrate, make sure you’ve built something people can’t imagine living without. That’s when you’re ready to move forward with confidence.