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3 Loyalty Retention Strategies for Your Subscription Service

Retaining loyal customers is pivotal to the success of any subscription-based service, as it’s important to keep customers subscribed and engaged with the service. While many businesses focus on acquiring new customers, it’s equally important to focus on retaining existing customers and increasing customer loyalty.

Subscription services provide customers the convenience of having products and services delivered to them regularly. In 2023, Subscription Cancellations are at an all-time high in the USA markets. With such a market sentiment, brands need to have a loyalty retention strategy in place. We have enlisted 3 Loyalty Retention Strategies for Your Subscription Service that can help you win your customers.

What is a Subscription Based Service Model?

A subscription-based service is a business model where customers pay a recurring fee to access a service or product. Subscriptions can be offered on monthly, yearly, or pay-as-you-go models. Subscription services can be offered as a one-time purchase or as an ongoing commitment. For example, YouTube Premium offers an ads-free experience on subscribing as a Premium user at their monthly or annual subscription rates. 

Why is Retaining Customers Important?

Keeping customers happy and engaged helps to maintain loyalty and increase the lifetime value of a customer. HubSpot Research found that, in cases of company error, 96% of survey respondents continue buying from a company they regularly purchased from if the company apologized and corrected the situation. Retaining customers helps to reduce the cost of acquiring new customers, as well as increasing revenue.

Apart from the recurring revenue that existing customers bring in, there are upsell and cross-sell benefits. As per a blog by Chargebee, the success rate of selling to current customers is 60-70%, while selling to a first-time customer is 5-20%.

Thus, in a market where customers are fairly risk-averse and want to minimize their spending, retaining existing customers is critical to the success of a service provider.

Types of Loyalty Retention Strategies

  • Rewards Programs

Rewards programs help companies retain customers by incentivizing them to continue using their services. According to Forbes Research, 79% of consumers say loyalty programs make them continue to engage with a brand. While 75% say that they are likely to make another purchase after receiving an incentive.

By taking a subscription, a customer takes up a premium loyalty program with the brand or company. If they receive reward points as a part of it, the same can be redeemed for future purchases.

Prominent brands such as Sephora, Amazon Prime & Starbucks leverage such programs to cultivate a loyal customer base.

For example, Mariott offers it loyalty program called Mariott Bonvoy Benefits which offers multiple benefits from the moment users sign up. Through its portal, users have a personalized journey designed to heighten their experience with Mariott, as well as avail the best of travel and hospitality offers.

  • Personalized Customer Experiences

According to Evergage, 99% of marketers say personalization helps advance customer relationships, with 78% claiming it has a “strong” or “extremely strong” impact. Personalization helps make a customer feel more valued, and at the same time, it enhances their productivity or experience by helping them cut across a vast superset of choices, narrowing it down to highlight relevant material or services.

Streaming giant Netflix provides its users with hyper-personalized content recommendations through a customized Home Page, a Shuffle feature, and Recommendation lists. This helps users to be more engaged with the content they watch, as they are provided options based on their watch history and persona.

As more users become cognizant of extended reality technologies, the usage of AR/VR to draw in more personalized customer experiences has also increased.

Mantra Labs helped a leading Luxury Home Decor brand design and develop their Augmented Reality experience to boost their in-app engagement.

  • Automated Retention Strategies

Digital technologies enable brands to stay closer to their users and provide contextual nudges which ensure that there is a high recall for the product or service provided.

As most brands will have relevant subscriber data, they can use this to share personalized emails, push notifications, and other automated messages that are tailored to the customer’s interests and preferences. These messages can be used to remind customers of upcoming subscription renewals, offer discounts or promotions, or provide helpful tips and advice.

Brands must also ensure that the renewal journey of their customers is seamless. Providing multiple payment options, and, options to save payment details for faster checkouts.

While auto-renewals are a convenient feature, brands should proactively notify users of pending renewals, and in case of a heavily underutilized subscription offer customized plans. Media giant Wall Street Journal makes it difficult for paid users to cancel their subscriptions, with a user having to call their Customer Care Center and manually record their request to cancel the subscription, as opposed to directly canceling it via a portal. While this might marginally reduce customer churn, customer satisfaction drops significantly.

Eventually, brands have to ensure there is a balance between revenue generation and customer experience for prolonged success.

Final Thoughts

Retaining customers is essential to the success of any business. And loyalty retention strategies can help to ensure customers remain engaged and continue to purchase products or services. As subscriptions cancellation hit an all-time high, brands need to make their offerings personalized to provide value for money to subscribers. As well as ensure there is a significant focus on creating a seamless customer journey to boost customer satisfaction across all segments.

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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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