This case study explains how a multi-category online store uses an AI-driven solution to lower customer acquisition costs, boost conversion rates, and increase customer lifetime value after the busy fall holiday season. Even when organic traffic and sales drop by as much as 60-70%, the right strategies can keep your store growing.
Let’s look at the fundamentals of a multi-category online store aiming to acquire new customers after the fall holiday season. After peak sales, most eCommerce stores experience drastic revenue dropdown - organic traffic and sales can be down as much as 60-70%
The challenge is acquiring new customers without going net negative on profits.
Let’s break down the numbers for the store:
The challenge here is to profit on the very first sale to a new customer—even for those tough “comparison shoppers”—without going net negative.
To attract new customers, the store needs to keep costs low and improve conversion rates. Here’s how they approach this:
Cross/Up-Sell Tactics:
Retargeting Ads:
Increasing Conversion Rates:
Discounts: Offering discounts can boost conversions, but it might also lower margins.
Personalization & Experimentation:
Acquiring a customer is just the beginning. To ensure long-term success, the store must focus on retaining customers and increasing their lifetime value (LTV).
LTV/CAC Ratio:
Post-Purchase Strategies:
Personalized Offers: Engage customers with targeted offers that keep them connected to your brand and encourage repeat business.
Customer retention is vital because even the best acquisition efforts will not lead to long-term profitability if customers do not return.
GrowthOS is an AI-powered platform that helps manage your entire customer lifecycle efficiently. It unifies customer data, predicts user intent using machine learning, and enables personalized marketing. This ensures that customers receive the right message at the right time.
Connects various data sources to build a unified customer profile. This allows for a consistent experience and personalized interactions across all devices.
Provides a suite of marketing tools that automate timely and personalized messages. This means you don’t have to rely on manual processes or juggling multiple spreadsheets.
GrowthOS is not just another tool - it is fundamentally a new way to operate your growth operations end-to-end.
We developed a thoroughly researched and industry-backed methodology to empower any business to level up its game in reaching the ultimate goal - growing faster & more profitably.
GrowthOS follows a clear, step-by-step approach:
Unify and analyze customer data from all channels and use machine learning to predict who is most likely to purchase
Discover: Identify, Build, and Analyze: Gather customer data from all your sources, combine it to form a complete picture, and use it to pinpoint your target leads and accounts.
Predict: Use machine learning to understand and forecast what your customers are likely to do next with real-time insights.
Personalize every interaction with automated triggers like emails or SMS based on real-time behavior.
Personalization: Tailor every communication across web, mobile, and email to suit individual customer needs and preferences.
Journeys: Based on real-time behavior, send timely emails or SMS when customers hit a new stage or show a drop in activity.
Experiment with different strategies and use insights to continually improve customer engagement.
Experiment: Test different strategies on your website or app with confidence and minimal risk to find what works best.
Analyze: Review the results of your experiments to gain clear, actionable insights that drive continuous improvement.
By using GrowthOS, businesses can simplify their operations and focus on growing revenue without the heavy burden of manual data management.
After the holiday rush, many online stores face a steep decline in organic traffic and sales. This case study demonstrates that by focusing on lowering acquisition costs, boosting conversion rates, and increasing customer lifetime value, you can successfully navigate the post-holiday slump.
Key Takeaways:
Focus on Lowering Costs & Boosting Conversions: Use data-driven strategies to reduce customer acquisition costs and improve free-to-paid conversion rates.
Leverage Automation for Personalization: Implement tools that unify customer data and automate timely, personalized interactions.
Prioritize Retention: Enhance customer lifetime value by encouraging repeat purchases through effective upselling and targeted post-purchase strategies.
Whether you rely on manual methods like spreadsheets and careful ad targeting or adopt an automated solution like GrowthOS, the key is to use data-driven insights to make smarter decisions. With the right strategies in place, even a challenging post-holiday season can turn into an opportunity for growth and higher profits. Happy scaling!
BTW, If you have Intempt in mind then, we created a library of growbooks to get inspiration on starting up with Intempt on the fly.
Good to Know
Discover marketing workspace where you turn audiences into revenue.
Learn about IntemptYour app is doing well, with users actively exploring features and making regular purchases. But then you start noticing subtle changes. A previously engaged user logs in less frequently. Their in-app purchases decrease. They interact with fewer features each week. Despite being a loyal subscriber for months, their engagement gradually fades until they finally cancel their subscription altogether. Sound familiar?
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Imagine your customers landing on a page that feels generic and out-of-touch—whether it's during a product launch, customer onboarding, or a seasonal promotion. That initial disconnect not only wastes your budget but also leaves your visitors feeling like just another number.
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