From books to makeup to ingredients to movies, subscription services are now available for almost anything. Customers love them because, for a nominal fee, they get something new every month. And businesses love them because they get to hold on to customers for longer and get paid every month.
Sneakers have gone from sports shoes to fashion accessories to prized collectibles that people spend lots of money on. Inspired by this, North American ‘sneakerhead’ and entrepreneur, Kamaj Silva, launched SneakerTub, the world’s first sneaker subscription service. With it, people could finally get a new shoe fix every month from top brands like Nike, Puma, and Saucony without breaking their bank account.
Impressed by the SneakerTub idea, the brand was invited to pitch on the hugely popular business reality TV show Dragon’s Den. Kamaj himself presented and had top investors bidding against each other to put money into his startup. This earned SneakerTub a ton of publicity, which quickly turned into strong organic growth.
To keep its early momentum going and give sales another boost, SneakerTub decided the time was right to start advertising online. Focused on North America and targeting a young audience, the company initially used Facebook Marketing because it placed ads on both Facebook and Instagram.
In North America, online advertising is highly competitive with many, many brands bidding for exposure. It’s especially fierce amongst subscription services who earn more per customer because they’re willing to place higher bids. SneakerTub, whose goal was to scale profitably, suddenly found itself in a war against soaring customer acquisition costs. It tried to use the ad platform’s intelligent targeting tools to make its campaigns more efficient but, because they’re primarily focused on repeat business and new customers, they did not deliver the right results.
Desperate for a solution, Kamaj discovers that the most successful online advertisers use artificial intelligence (AI) to optimize and scale their campaigns. He learns that with AI, the vast amounts of data from SneakerTub’s website, CRM and campaigns can be correlated and analysed for insights which not only reduce acquisition costs but also boost revenue growth.
Excited about AI, Kamaj initially found that most AI services for digital marketing were expensive, complicated and took a long time to deliver results. Persistent, he eventually came across one option he thought might be a good fit. Alavi is an online AI application that focuses on decoding and optimizing the entire customer journey. It’s been shown to improve returns in just 30 days. Best of all, it’s developed specifically for small and medium businesses, which means it’s simple enough for even an inexperienced marketer to use and cheap enough for an up-and-comer like SneakerTub.
Connecting Alavi to SneakerTub’s website and ad platforms was seamless and its AI engine immediately kicked into gear. Analysing over 200+ variables, it reverse engineered the path customers to took to convert and found which personas had the highest intent to buy (including the critical insight that many parents were subscribing to SneakerTub for their kids). Alavi then suggested different audience and product combinations to boost results at every level of the sales funnel.
In just three months, using Alavi’s recommendations reduced SneakerTub’s customer acquisition costs, the company’s biggest headache, by 33%. They also increased return on ad spend by 118% and, best of all, rocketed revenue up by an incredible 212%! As Kamaj would later say “Alavi’s targeting was so precise and so powerful. It put the kick back in my kicks!”
Starting life as a small nursery in 1965, Far East Flora Holdings is today, one of Southeast Asia’s leading florists. While the company has established a network of brick and mortar stores in Singapore, Hong Kong and Malaysia, it was quick to recognise the potential of the internet as a retail channel and launched FarEastFlora.com (FEF) as early as 2000. Today, the e-commerce site, led by its Managing Director, Ryan Chioh, offers over 1,000 flower and gift options and delivers to more than 140 countries.
In recent years, to market its innovative products online, FEF has relied on pay-per-click (PPC) advertising through platforms like Google and Facebook. Though year-on-year traffic growth has been good, conversions and revenue have not met the company’s expectations. This recently became an especially serious issue because FEF was forced to raise its ad spends to counter increased competition as well as target broader audiences (who generally have a lower intent to buy) to grow its customer base. The company knew the situation was unsustainable and improvements had to be made.
What FEF urgently needed was to boost its return on ad spend so it could achieve profitable growth. MD Ryan firmly believed the key to this was data. While he knew his web analytics platform collected vast amounts of information on customers’ purchase journeys, he didn’t have a cost-effective way to analyse all of it. Overcoming this issue was imperative to identifying potentially profitable audiences and extracting insights that would make FEF’s digital marketing more competitive, effective and efficient.
The solution Ryan found was Alavi.ai (Alavi), an online application that uses artificial intelligence and data science to analyse marketing data. He was keen to give Alavi a go because of its proven record of helping small and medium businesses grow profitably by greatly improving their PPC advertising. Quick Setup. Quick Results.
For FEF’s Marketing Communications Manager, Chris Kok, linking Alavi to the company’s ad platforms and customer relationship management (CRM) data (which Alavi encrypted) was straightforward and took very little time. Once connected, Alavi’s automated AI engine quickly kicked into gear and identified products that were most likely to sell in the coming weeks, as well as cohorts to target for immediate returns and profitable growth. By providing a marketing workflow along with cohort attributes that were compatible with Google and Facebook, FEF was able to immediately launch campaigns on its preferred ad platforms.
In just 3 weeks, with Alavi’s AI, FEF improved its online marketing considerably. Return on ad spend (RoAS) was increased by 21.75%, while average order value (AOV) shot up by 20.33%.
When it comes to flowers and gifts, trends and tastes are constantly changing. To help FEF keep on top of what’s new, Alavi constantly tracks user behaviour, so the company has the insights it needs to keep innovating and keep marketing the right products to the right people. Alavi’s ability to perpetually identify new opportunities from the top to the bottom of the customer funnel will ensure FEF continues to accelerate its growth profitably well into the future.
Spring & Summer, a trendy homegrown Sri Lankan apparel brand, launched in 1995 and initially sold its products offline through its own stores. In 2015, after going into online retail, Spring & Summer was looking for ways to optimize and strengthen its digital marketing efforts in order to reach new customers and continue growing.
To scale online effectively, the brand knew it had to quickly find answers to many critical questions, such as how to make sure revenue opportunities are not missed when a campaign starts gaining traction or when to stop using an audience that’s not performing well. Spring & Summer’s leadership believed AI and data science were the keys to solving these problems. And they were right.
The brand onboarded Alavi, which immediately started processing Spring & Summer’s Google Analytics data using its advanced data science models. Through this process, Alavi was able to recommend new audiences and improve the brand’s targeting at every level of the marketing funnel.
While Spring & Summer saw a significant increase in RoAS using high-performing bottom-funnel segments suggested by Alavi, what was most impressive was the improved top-funnel and middle-funnel targeting from Alavi’s AI audiences. The application’s Insights feature also helped the brand unlock hidden interests that were highly relevant to their customers. This further improved Spring & Summer’s targeting.
By using the brand’s own customer journey data (which is captured by Google Analytics), the audiences recommended by Alavi worked much better than the standard audiences suggested by Facebook. They allowed Spring & Summer to reach out to individuals that actually wanted to buy from their brand.
Spring & Summer ran acquisition, remarketing and retention campaigns using Alavi’s AI-powered experimental audiences and was able to improve its click through rates by 38% in just one year.
Examples of experimental audiences recommended by Alavi for Spring & Summer were pet-related and media-related segments. Being an apparel retailer, had never thought of targeting these audiences but were very surprised to see them work well. Alavi also suggested targeting ‘domain expertise audiences’, which are audiences similar to ones that have worked well in the past. These include customers that have made more than two purchases. When targeted, the brand achieved impressive results with ‘domain expertise audiences’.
Alavi’s AI also helped the brand uncover actionable insights from massive amounts of data that would otherwise be impossible for a human to process. For example, Alavi.ai identified patterns in customer behavior that influenced purchase decisions, allowing marketers to optimize ads for maximum RoAS.
Another Alavi feature that helped Spring & Summer succeed was Optimize, which gave the brand daily recommendations on how to maximize returns and minimize losses from all existing campaigns. With recommendations categorized into critical, important, and moderate, Spring & Summer were able to quickly and easily optimize their campaigns and focus on customers who had the best chance of responding favorably to their ads. The brand was also better able to deliver the right message at the right time to maximize returns.
For the brand’s senior management, Alavi’s Dashboard made it simple for them to keep a close eye on important metrics, identify important trends and monitor the overall performance of Spring & Summer’s ad campaigns.
Thanks to Alavi’s advanced AI and easy-to-use features, Spring & Summer was able to scale its ad campaigns while still maintaining a great RoAS. Through its ambitious efforts and a strong digital strategy, the brand in November 2021 saw its online revenue grow by 120% in just 12 months.
Spring & Summer plans to continue leveraging Alavi’s AI expertise to grow its online business even further year over year. The team at Alavi believes this can be done and is excited and proud to be a part of this journey.
Love Pangolin is an Indian e-commerce company focused on developing products that make the world safer for both people and wildlife. As part of its commitment to this cause, the company donates a portion of its revenue to funds like the Pangolin Crisis Fund, which works to save pangolins, one of the most trafficked mammals in the world.
Love Pangolin’s most famous offering is ‘The World's Most Comfortable and Thoughtfully Designed Mask.’ And what sets them apart is the use of HealthGuard’s AMIC anti-viral textile finish and hemp in the filters of its face masks. Hemp, apart from being one of the strongest and most durable natural fibers, is also antibacterial and hypoallergenic. For a superior design and fit, every Love Pangolin mask has adjustable components, such as nose and ear clips for secure sealing, as well as 3D-memory nose-foam, and additional safety features, such as a travel pouch, so every mask can be stored securely when not being used.
When the COVID-19 virus started to spread across the world, the demand for face masks grew exponentially. Even businesses that never produced or sold face masks before, chose to pivot and start producing masks too. This meant that Love Pangolin, despite having a superior offering, faced fierce competition. To build its brand and boost sales, the company increased its digital marketing spends. Unfortunately, this did not achieve the growth it wanted, and the company saw its advertising returns diminish. This was an issue that needed to be resolved quickly.
The Love Pangolin team knew that to better understand why their ad spends were not bringing them the returns they wanted, they needed to deep dive into their conversion and web traffic data. The team needed to understand and identify which audiences are most likely buy masks from their brand and not others. However, to this kind of a deep dive is almost impossible to do manually, and the team searched for technology that could help them go beyond the target audiences and optimization workflows that they knew worked well. Their aim was to find technology that could help them grow and scale with confidence and not fear, and this search is what led them to Alavi.ai.
Alavi is a digital marketing management application that helps digital marketers save time and scale marketing campaigns. After than introductory conversation with the Alavi team, Love Pangolin quickly realized that Alavi could help the brand:
Convinced that Alavi could make a difference, Love Pangolin signed up for an Alavi free trial in February 2021, and they saw a significant improvement in their targeting and returns at all levels of the marketing funnel.
After Love Pangolin connected its Google Analytics and Facebook Ad Manager accounts to Alavi, the application started analyzing the brand’s tracked conversion and web visitor data. After three days of processing, Alavi.ai gave the brand insights and recommendations for targeting the right audiences at each level of the marketing funnel (top, middle and bottom).
Using Alavi’s “Expand” function Love Pangolin was able to find new audiences to target and increase visitors to its site. The new audiences Alavi identified had a predicted conversion rate and average order value that were higher than the brand’s site average. For example, Alavi.ai identified “Movie Lovers” and “Business Professionals” as new audiences for Love Pangolin, which the digital marketing team was able to then use in their campaigns to drive high quality traffic to the site.
Alavi’s “Expand” function also found remarketing audiences with a higher probability of converting and spending more on the Love Pangolin site. An example of this was “Travel Buffs”, which was a profitable remarketing audience that went beyond the remarketing Love Pangolin had used before. With these recommendations, the brand significantly improved its mid-funnel campaign returns.
In addition to this, Love Pangolin bottom funnel results got a major lift thanks to Alavi’s “Retain” function. Like many other brands, Love Pangolin knows their loyal customers. However, with Alavi.ai, the brand was able to identify which loyal customers were most likely to engage or make another purchase in the next 30 days. This resulted in the creation of several high performing campaigns that drove repeat business and maximized marketing spends.
During the free trial of Alavi.ai, Love Pangolin used the application’s artificial intelligence and data science capabilities to address the challenges it faced when trying to grow by increasing its ad spends. With Alavi.ai, the brand was able to scale its top, middle, and bottom marketing funnel campaigns without fear as marketing returns consistently improved.
In just 4 weeks, Love Pangolin’s marketing campaigns that used Alavi’s insights and recommendations achieved a return on ad spend (RoAS) that was 50% higher than campaigns that didn’t use them. The team was also not only impressed by the results, but they were also impressed by the dedication and responsiveness shown by Alavi’s Customer Success Managers and Support team. The brand is now very excited to continue growing with Alavi’s unique technology and expertise.
“It was really easy to connect to and work with the Alavi team. All meetings with our Customer Success Manager have been useful and informative because they are data-driven, focused and concise.”
- Founder, Love Pangolin
Given the success of Love Pangolin’s masks, the brand will be expanding its product portfolio to include casualwear and is excited to use Alavi’s insights and recommendations to market its upcoming product lines.
Macmerise is a rising star in India’s tech gadgets and accessories industry. It is best known as India’s first decal manufacturer and the first company in the country to be awarded licensing rights by major Hollywood studios including Disney, Marvel, Lucas Films and Warner Bros (DC Comics).
Like most online retailers, Macmerise invested significantly in pay-per-click (PPC) marketing to grow its business. While initial results were good, increased competition eventually resulted in soaring acquisition costs, diminishing returns and, worst of all, stagnant revenue growth.
To optimize its PPC marketing, Macmerise relied heavily on the targeting and conversion features offered by online ad platforms, like Facebook and Google These are tools every advertiser has access to, which meant Macmerise and its competitors were using similar strategies. Macmerise CEO, Sahil Shah realised that the company’s digital marketing did not have any competitive advantage.
To differentiate its strategies, Sahil and the company’s digital agency, Omnikon, searched for new marketing technologies. They wanted an application that would deliver a deeper understanding of how customers were engaging with their products and content and then identify new audiences that have a high probability of buying from Macmerise versus the competition. After an exhaustive search, they discovered Alavi.ai (Alavi), an online application whose artificial intelligence has helped brands across a broad range of industries greatly improve their digital marketing.
For Macmerise, setting up Alavi was simple and intuitive. In just a few of hours, Alavi was connected to all of the company’s ad platform analytics and automatically started searching for the company’s most profitable audiences. To do this, it used artificial intelligence to analyse the relationships between millions of data points. It then reverse engineered profitable conversion paths based on key metrics including cost per acquisition (CPA), return on ad spend (RoAS) and conversion rates.
Using Alavi’s cohort profiles and recommended workflows, Macmerise quickly launched a series of highly targeted campaigns via online platforms like Facebook and Google. The company also personalised each ad campaign’s creatives using the interests, affinities and demographic variables identified by Alavi.
In just four weeks, Alavi-powered campaigns beat all of Macmerise’s previous benchmarks. Cost per Acquisition reduced by 42%, Conversion Rates increased by 42% and Return on Ad Spend improved by 25%.
Buoyed by this success, up to 70% of Macmerise’s campaigns are now driven by Alavi, and the company is on track to doubling its revenue.
As one of India’s first online luxury fashion retailers, Elitify.com is dedicated to giving fashion-forward shoppers the latest clothing and lifestyle products. With concierge-style services, an easy-to-navigate design and handpicked offerings from top international brands, Elitify delivers a highly personalized shopping experience. This is what sets it apart from standard e-commerce sites.
As a seasoned entrepreneur, Ritesh Srivastava, CEO of Elitify, understands better than most that in today’s uncertain and fast-changing business environment, data is the key to success, especially the ability to analyze it quickly. At Elitify, because of its stylish content, visitors range from qualified shoppers buying chic jumpsuits and dress shirts, to aspirational browsers who hope to make a purchase in the future. For Ritesh, analyzing visitor data quickly meant the company could separate buyers from browsers and market the right products to the right audiences with customized content – something that is now an absolute must for e-commerce companies.
To find a way to do this, Ritesh along with his Head of Digital Strategy & Performance Marketing, Mohit Malik, looked for marketing technology that could deliver insights into who their qualified shoppers are, what they care about, and what inspires or motivates them to make a purchase. It was for these reasons (and several other useful features) that Elitify chose Alavi, an online artificial intelligence application that specializes in audience profiling, precision targeting and predictive analytics.
Since October 2019, Alavi has been at the heart of Elitify’s marketing strategy and the company is consistently learning more and more about its visitors. One example of this is that after connecting to Elitify’s analytics and ad platforms, Alavi found that qualified shoppers were also interested in travel, food and restaurants. Elitify was not targeting these profiles in its remarketing campaigns, but once it did, the company saw a significant increase in its return on investment.
Alavi has also been analyzing visitor data to provide product recommendations, which Elitify has used to personalize ads and optimize ad spends. With Alavi, qualified shoppers and aspirational browsers, based on their viewing history and past actions, only receive content and suggestions that are relevant to them. This not only increases engagement but has also been shown to boost conversions.
Determined to harness the power of data, Ritesh and Mohit’s efforts have clearly been vindicated. After just one month of using Alavi’s AI-powered product and audience insights and recommendations, the Elitify team has increased their return on ad spend (RoAS) by 45%, reduced cost per acquisition (CPA) by 24% and improved conversion rates by 40%. Stylish results for a very stylish business.
Established in 2002 with the aim of reviving South Asia’s rich textile heritage, the apparel retailer J. is today one of the region’s most successful brands. Catering to both women and men, the company operates over 100 local stores as well as another 20+ internationally in the UK, Australia, Canada, New Zealand, the UAE and Qatar.
With the internet revolutionizing shopping all over the world, J. launched its own e-commerce store. However, in recent years, with the number of brands selling online increasing almost exponentially, getting consistent growth has proved to be very difficult. This is because the competition on pay-per-click (PPC) advertising platforms (like Google and Facebook) has been especially fierce with marketing returns declining and budgets skyrocketing.
To fight rising marketing costs and reignite growth, J. knew it needed to optimize its PPC advertising and set itself two main goals: reduce cost per acquisition (CPA) for existing customers and acquire new ones with a controlled return on ad spend (RoAS).
To do this, it turned to data science, a tool that had helped many companies around the world solve similar problems. However, the cost of setting up its own data science team was prohibitively expensive. Fortunately, there were new marketing technologies that could help. After weighing the pros and cons of many of them, the company chose the advanced online targeting application, Alavi..
Offering both artificial intelligence (AI) and machine learning capabilities, Alavi was not only affordable but could quickly and easily integrate with the brand’s existing infrastructure and ad platforms. Upon connecting Alavi, its AI engine analysed a variety of variables from its marketing and customer data to identify audiences that were highly profitable and worth investing in. The insights Alavi provided helped the company target desirable cohorts with pinpoint accuracy and eliminate ones that had very little chance of converting. It also assisted the marketing team in developing ads that would improve engagement with the audiences it recommended so the company would get better returns.
Working with Alavi’s customer success team, the apparel brand launched a series of campaigns that were closely monitored to test the application’s effectiveness. In just 4 weeks, the Alavi.ai-assisted campaigns delivered results that not only exceeded expectations but broke existing standards: CPA was reduced by 77%, average order value grew by 50% and RoAS increased by 300%.
Buoyed by their success, J. is now gearing up to test Alavi.ai’s other advanced features, such as data-driven attribution modelling and engagement optimization. The battle for online success in the apparel industry requires strong allies, especially ones you know you can count on.
Launched by one of the biggest names in Pakistan textiles, Sapphire is a celebrated fashion brand known for exquisite designs at affordable prices. Built on an uncompromising commitment to quality, the company offers everything from clothes and shoes to bags and linen through its e-commerce site.
But with online shopping booming in Pakistan and barriers to entry relatively low, new companies are entering the fashion space all the time. There are already over 60 brands selling clothes online who get between 20,000 and several million site visits per month. Most of them are fighting to attract, engage, convert and retain the same audience segments.
This rapid increase in competition was a major challenge for Sapphire because it raised the company’s pay-per-click (PPC) marketing costs substantially on multiple ad platforms including Google and Facebook. Sapphire needed to find a solution that would help it both in the short term and the long term.
By studying what was happening internationally, Sapphire’s management team fully understood the potential of data science and how it could substantially improve online advertising returns as well as deliver consistent outcomes. After weighing the pros and cons of investing in their own data science team, they explored marketing technology options with similar capabilities.
One ‘martech’ that caught their eye was the precision targeting application, Alavi. It performed predictive analytics using customer user behaviour, which would allow Sapphire’s digital marketers to quickly and easily target their most profitable audiences. This would help maximise the efficiency and effectiveness of their campaigns. Also, because it was developed for small and medium businesses, Alavi was affordable and had the potential to deliver results almost immediately.
An online application, connecting Alavi to Sapphire’s web analytics and marketing platforms (Google, Facebook etc.) was simple and fast. Once linked, Alavi’s artificial intelligence (AI) and machine learning capabilities started working right away. Using data science to analyse data generated from past campaigns, Alavi was not only able to identify the best audiences for Sapphire’s current efforts but also audiences for expanding and remarketing.
In just one quarter, on the campaigns Sapphire used Alavi, digital marketing spends were finally optimized. This resulted in bigger earnings from existing customers as well as the acquisition of many new ones. Thanks to Alavi’s data science capabilities, Sapphire beat its return on ad spend (RoAS) target by as much as 35% and increased its average order value (AOV) by 16%.
Established in 1993, Image is a sophisticated and progressive fashion brand known for putting a modern twist on traditional styles. Operating in an intensely competitive industry, it has distinguished itself by consistently delivering products and experiences that are unique and captivating, such as curated collections based on innovative themes like ‘Monsoon’ and the ‘Garden of Versailles.’
While Image has its own branded ‘brick and mortar’ shops, the company has been very focused on its online store where it offers its entire catalogue to customers around the world. With a fast-growing range of products and collections to market, the company knew it needed to have a consistent and sustainable return on ad spend (RoAS) if it was to meet its ambitious growth targets.
When Marium Ahmed, Image’s Marketing and E-commerce Director, first met Zulfiqar Khan, head of SIAR Digital, the brand’s new e-commerce services agency, the issue of RoAS was discussed at length. They concluded that Image needed to be very dynamic and precise with its online audience targeting. This would allow the company to get more repeat business as well as expand its customer base while keeping ad spends in check.
Zulfiqar is a partner of Alavi, an online artificial intelligence (AI) application with a proven record of helping small and medium enterprises (SME) improve their audience selection and grow their revenue. He believed that by adding Alavi to Image’s marketing tech stack, the company would be able to get the results they wanted.
The onboarding process for Alavi was simple and SIAR Digital, with help from the application’s success team, started launching campaigns for Image using Alavi’s AI-powered insights. To capitalize on opportunities for repeat business at the bottom of the marketing funnel, Alavi’s ‘Retention’ function was used. While good digital marketers generally know who their loyal customers and big spenders are, the ‘Retain’ function helped Image and SIAR Digital take this a step further by identifying which of these individuals would probably make a purchase in the next 30 days. This information was then used to boost the brand’s remarketing campaigns.
As would be expected, some of Alavi’s automated data science capabilities took a bit of time to fully analyze and understand Image’s visitor and customer data. But once they did, the application’s ‘Optimize’, ‘Engage’ and ‘Expand’ functions kicked in and results were very impressive. For example, to attract new customers at the top of the marketing funnel, Alavi found several counter-intuitive insights, like people whose interests included ‘Looking for a Job’, which had a much higher chance of converting.
A unique feature of Alavi is that it didn’t just identify audiences interested in the type of products Image sold – it identified audiences who were interested in the Image brand. This allowed Image to run more efficient and effective campaigns for both regular and seasonal collections on Facebook and Google.
By providing productive insights and making it easy for Image and SIAR Digital to launch and optimize Image’s campaigns for new and repeat customers, Alavi has grown the brand’s conversion rates and online sales significantly. In just 3 months Image’s revenue from Facebook increased by 254% and its RoAS increased by 157%. With Alavi delivering new insights every week, Image will continue to build on its strong market position and get the consistent and sustainable returns it wants well into the future.