Double the impact of your e-commerce CRM marketing: boost purchase conversion with AI search

A way to grow e-commerce revenue beyond CRM marketing?

CRM marketing to boost your own-brand store's revenue is at the heart of e-commerce growth.

But as competition intensifies and user fatigue increases, it's becoming harder and harder to deliver differentiated results.

It's not easy to achieve breakthrough results using the same methods everyone else does.

Now is the time to focus not just on 'bringing customers in,' but on 'converting them into buyers.'

Today, we'll introduce 'AI search'—not widely known in Korea, but used overseas to boost purchase conversion.

At the end, we'll walk you through "global e-commerce case studies" and "how to get a search diagnostic report," so be sure to read all the way through!

✅ Highlights

• Improving 'purchase conversion' is just as effective as 'customer acquisition' in e-commerce.

• AI search can boost your purchase conversion rate and improve revenue through synergy with CRM marketing.

• Global e-commerce players (Under Armour, Lacoste, Petco, and more) are already using AI search to raise purchase conversion rates and drive revenue results.

• AI search doesn't disrupt your existing CRM marketing processes and is easy to adopt, so you can see results right away.

• We provide a 'search diagnostic report' that lets you assess your store's search functionality.

3 features of AI search that create synergy with CRM marketing

How can AI search increase revenue?

Here are 3 features of AI search that complement CRM marketing and improve revenue.

1. Personalized recommendations

AI search uses search history to enable personalized recommendations.

For example, when a customer who values freshness searches for "high-protein convenience meals," convenience meals available for fresh delivery appear at the top, while a value-focused customer is first recommended practical, budget-friendly options. This kind of refined personalization significantly raises the purchase conversion rate.

Try linking the customer data collected in your CRM (purchase history, products of interest) with search history.

The moment a customer types a word into the search bar, the AI delivers tailored results that reflect that customer's tendencies and preferences.

2. Delivering optimized search results

AI search accurately understands a customer's search intent.

For example, it recognizes various search terms like "denim," "jeans," and "jean," and automatically corrects typos such as "jeens." Search results are delivered within one second, minimizing customer wait time.

What's notable is that it solves the 'no search results' problem. Even when there's no exact match, the AI recommends similar alternative products so you don't miss out on sales opportunities.

3. Leveraging search data insights

AI search data provides insights about your customers.

For example, a frequently searched product that's out of stock is a signal that it needs to be restocked quickly, and a sharp rise in a particular search term marks the start of a new trend. Reflecting these insights in your CRM campaigns can deliver greater marketing impact.

You can check various metrics in real time, such as popular search terms, search failure rates, and post-search purchase conversion rates. This data provides key insights for building your CRM marketing strategy.

Beyond this, you can also check out 6 success stories of bringing AI to the shopping-mall search bar.

AI search: global e-commerce is already doing it

Global e-commerce companies are already driving revenue growth with AI search.

• Pet supplies retailer PETCO saw its purchase conversion rate rise 13% after adopting AI search.

• According to global sportswear brand Under Armour, customers who use the AI search feature showed a 35% higher purchase conversion rate than those who didn't.

• After adopting AI search, Lacoste saw search-driven revenue increase 150% and its bounce rate decrease 88%.

Why is global e-commerce paying attention to 'AI search'?

Because there's solid evidence that improving search can revive stagnant revenue.

• 53% of customers will empty their cart and shop elsewhereif they can't find the product they want.

• 3 out of 4 customers buy from a competitor when a search fails.

• The purchase conversion rate of customers who use search is 6 times higher than that of customers who don't.

E-commerce AI search that's easy to adopt and use

You can see AI search is great—but are you worried the adoption process might be a hassle?

There's no need to worry at all.

AI search is, unlike other marketing solutions, very easy to adopt and use.

1. Low adoption barrier and quick implementation

• Can be applied as an enhancement to your AI search functionality while keeping your existing search engine

• No complex system integration or lengthy setup time required

• Minimizes additional training or adjustment periods for employees

2. Maintains your existing work processes

• Can be adopted while keeping your current operational structure intact

• No need to change team structures or job responsibilities

• Minimizes the additional workload on existing staff

3. Works with your existing CRM marketing

• Naturally amplifies the impact of your existing CRM marketing

• Improves performance without separate marketing strategy revisions

• Can deliver personalized search using your existing CRM data as-is

AI search can be adopted immediately while keeping your existing work processes intact.

How much could AI search increase revenue in our store? Get a diagnostic report

So far, we've looked at how AI search drives e-commerce revenue growth.

Why not assess your store's current search situation and create a new growth opportunity by adopting AI search?

We're offering search diagnostic reports to the first 50 companies.

Leave an inquiry via the button below and get your 'search diagnostic report.'

Apply for a search diagnostic report