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How AI Lead Scoring Helps You Close More Leads On Your Shopify Store

shopify request a quote ai lead scoring

AI lead scoring brings efficiency to Shopify stores by prioritizing leads based on their likelihood to purchase, saving you valuable time and increasing conversions. As it gathers information about your customers’ behavior, AI lead scoring starts to identify high-intent leads, which helps you narrow down quote requests, focus on personalization, and can positively impact your bottom line. Essentially, AI lead scoring has been shown to increase ROI and sales, making it a game-changer for scaling e-commerce businesses!

Running a Shopify store involves a lot of moving parts: managing stock, providing customer support, and converting leads to sales is a significant effort. One of the biggest challenges to converting is quote requests. A quote request doesn’t speak directly to whether or not that person will be a customer; they may just be “shopping” and not ready to decide if they want to buy or do business with you! AI lead scoring can identify who that person is and if a quote request is worth your time.

Key Takeaways

  • AI lead scoring ranks leads to focus on the best ones, saving time and boosting sales.
  • It integrates well with Shopify’s request a quote features for smooth use.
  • Data shows increases in conversions by 25% to 52%, and time savings up to 70%.
  • Benefits include higher ROI, better personalization, and faster revenue growth.
  • Average Shopify conversion rates are 1.4-3%, but AI can push you higher.
  • Implementation is easy with compatible tools.

In this post, we’re gonna talk about what AI lead scoring is, how it works, the most important features, and what its benefits are to Shopify store owners. We’ll also throw in a few bits of stats and data to let you know why it is important to you. By the end of this post, you’ll know exactly how to use it to improve your store. We’re keeping it simple and solution-focused so you can start using the ideas today. 

What is AI Lead Scoring?

AI lead scoring is simply a way to rank your leads according to their likelihood of purchase. AI lead scoring is a smart way to understand your customer data. For instance, which leads contribute to which scenarios and UX on your site, and how they interact with your Shopify request a quote form based on regularity of visits, and looked at unique products, and mean time on the page.

Unlike in the past, where you would have to manually guess or use a scoring system on your leads, AI lead scoring does this automatically. It works by using the patterns it has discovered from your data. Therefore, the more you use it, the better optimized outcomes you can get from your store. In e-commerce, for example, where quote requests are common, AI lead scoring helps you identify opportunities within quote requests and highlight the best chances for close.

Research shows businesses using AI for lead scoring experience major results. For example, it’s common for conversion rates to increase by a whopping 51 to 52 percent using AI. Another report from Gartner explored a pool of companies and found that their overall sales conversions increased on average by 25 percent. And again, these are results from real-world use cases from sales and marketing.

 For Shopify stores specifically, AI lead scoring works perfectly with request a quote Shopify apps. When a customer fills out a quote request form Shopify the AI can score the request immediately. This way, you won’t waste your time chasing leads that will never convert.

How It Works

It all starts with data collection. Each time a customer interacts with your store, it’s collecting data – page views, time spent on each product, completing the ask for a quote feature, etc. 

The AI will analyze and review all the data collected with algorithms – it picks up on interest signals, i.e., repeat visits, adding something to the cart, etc. The AI will assign a score based on learned past sales and next best options based on prediction and context. A high score would indicate a hot lead – a lead that is ready for follow-up. A low score would indicate a lead that may need more nurturing.

Using an example – if someone asks for a quote using the quote Shopify option multiple times on the same product, the AI algorithm identifies that lead, and assesses it as a high-priority lead. The software even utilizes machine learning to predict behaviors. All of this happens in real time, so as leads come in, you get the information in real time! 

One important feature is the integration with your store. Most AI tools integrate directly with Shopify, and they take data off of signs and sources like Shopify quote requests or forms that are sent through email. This makes the processes smooth and easy to use.

Data supports that data collected and confirms that this is a proven method. Companies using predictive lead scoring report sales productivity increases of as much as 60%. And for e-commerce, where leads come rapidly as time progresses, this speed aids in generating opportunities to act.

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Features of AI Lead Scoring Tools for Shopify

AI lead scoring tools have lots of features that help Shopify stores. Here are some examples:

Real-Time Scoring

Lead scores automatically when they interact. For example, when the customer sends you a quote request form, the AI will look at their history and automatically assign them a score. This helps you act quickly. 

Behavior Tracking

It tracks what users do on your site. It tracks page views of your products, clicks on your quote Shopify buttons, etc. All this information assembles a total view of every lead.

Integration with Forms

Lots of tools use a quote request form set up on Shopify. They can utilize the information on quote request forms, then score the request based on information, like order quantity or urgency.

Custom Rules

You can create your own rules! You can award extra points to leads based on county or those asking about high-ticket items through a request a quote option in Shopify.

Reporting and Insights

Analysis of lead trends! You will be able to determine what type of quote requests have the highest conversion rate. This allows you to constantly enhance your store over time.

Automation

Some functions will include an automated follow-up. If a lead gets a high score, it can send an email and/or notify a team member. This saves you memories and keeps a lead progressing. 

Statistics support all these functions; AI has been shown to reduce time on lead qualification by at least 30%. Businesses have reported a growth in lead generation by 50% when leveraging AI tools.

Overall, these features make AI lead scoring something of value for any Shopify store with a request a quote function.

Benefits of Using AI Lead Scoring

Using AI lead scoring has a boatload of advantages. It allows you to concentrate on what matters and grow your store. Here’s how it works.

Stop Wasting Time on Low-Quality Leads

Not all quote requests are equal. There are the ones that were just browsing, and then there is the one that could be serious. That’s where AI scores lead based on actions. For example, someone went to your site multiple times, but they never submitted a Shopify request for a quote. They likely would get a low score, meaning your team would spend less time pursuing leads that do not convert into a sale. 

Studies reveal that companies using lead scoring have a 70% increase in lead generation ROI. Companies that used lead scoring had an above-average ROI of 138% and those without had an ROI of 78%.

With e-commerce, Shopify stores can have a conversion rate that averages between 1.4% to 3%. When you know the scoring a lead is 10 or higher, you are pursuing a lead with a higher promise of being converted. The difference can lead you from the average of 1.4% to 3.2% or higher, where you are now in the top 20% of your category of e-commerce.

Save Time and Make Work Easier

Time is super valuable for store owners. Responding to quotes by hand can take hours. Artificial intelligence automates this process, scoring leads without any of your effort. Think of AI as a helper who sorts out your inbox. 

Research has indicated that AI saves upwards of 70% of total time spent on lead tasks. In lead qualification, only by at most 30% less time. This means you can spend the time you saved on selling, customer service, or adding more to your stock. 

There are tools available that integrate directly with request a quote. You will receive alerts when you’re most qualified leads. So you never lose out on an opportunity because you’re busy.

Increase Your Conversion Rates

Landing the right leads at the right moment translates to more sales online.  AI can detect significant intent customers, such as customers who often check out products on their e-commerce store, use the quote request from Shopify etc. 

For instance, when a lead receives a higher score, you can send a follow-up much quicker, and data shows this can increase conversions by over 50%. It is noted that top Shopify stores reach a whopping 4.8% conversion rate in e-commerce. If the stars are aligned on their end, how can they obtain that? Often, they leverage smart tools like those.

Timing matters, especially because responding quickly also has its advantages. Responding in less than 5 minutes can turn qualifying into a 10 times better situation, and the good news is AI can help with that and help you identify leads that need urgent attention. 

Make Follow-Ups Personal

Man, customers love it when you know about them. AI opens up insights into customer behavior, so you can send them targeted messages. For example, if a lead asks to quote multiple products for a project through Shopify, you can put together a packaged deal. 

This way, the lead building trust in you doesn’t involve any guesswork. The benefits are increased engagement and growing sales. Lead scoring improves your knowledge of customers while helping you refine your marketing. 

Stop sending the same old email. Use the data you have around “request a quote” types of actions to send better first-time communications.

Grow Revenue Faster

In the end, it all comes down to making more money. Getting more deals closed quickly helps your store grow. AI helps you keep the quote process easy, which means you can focus on the quote quality and only work with the best leads to convert faster. 

The facts suggest that businesses that use AI in lead scoring see an increase in performance, averaging 47%. Companies recognized as high-growth companies that use AI in lead scoring see a +60% in sales. 

In the case of Shopify, an average purchase from each customer is worth about $92, so depending on how you could multiply improvements in lead handling, that’s worth it pretty quickly! 

These upsides show you how AI lead scoring removes many of the problems associated with lead generation and also dealing with and managing Shopify quote requests.

Real-World Examples

Let’s look at how this works in practice. While specific Shopify case studies are rare, e-commerce examples show the impact.

One e-commerce business used AI for lead scoring and saw a 50% jump in conversions. They integrated it with their quote forms, scoring based on visits and interactions.

In another case, a startup boosted revenue by using AI to prioritize leads, reducing waste. They saved time and focused on high-value quote requests.

For Shopify, brands using AI tools report better customer experiences and sales. Imagine applying this to your store’s request a quote Shopify process – it could transform how you handle leads.

How to Implement AI Lead Scoring on Your Shopify Store

Getting started is straightforward. First, choose a tool that works with Shopify. Look for ones that support quote request form Shopify integrations.

Install the app from the Shopify store. Set up data tracking for actions like submitting a request a quote.

Define your scoring rules. Start simple, like points for page views or quote submissions. Test it with real leads. Check scores against actual sales to refine. Monitor reports to see improvements. Adjust as needed.

With average e-commerce success rates under 20%, this step can help you stand out.

Conclusion

So, AI lead scoring is a game changer for how Shopify store owners deal with request a quote. It helps you prioritize high-potential leads and save time in the quote generation process, resulting in a conversion increase of 52% and an ROI increase of 138%. With real-time scoring and behavior tracking, AI lead scoring makes your workflows much more efficient and follow-up more personalized to close more deals. 

For the Shopify stores that use request a quote forms, AI takes the guesswork out, so you can focus on closing the deal. Data states it saves you 30% – 70% of time lead qualifying customers, and it really should be a part of your sales process. If you want to streamline your Shopify quote process with AI lead scoring and scale your storefront, then it has to be considered.

FAQs

What is the average conversion rate for Shopify stores?

The average is around 1.4% to 3%, depending on the industry. Top stores reach 3.2% or more.

How does AI lead scoring save time?

It automates scoring and prioritization, reducing manual work by up to 30% to 70%.

Can AI lead scoring work with quote request forms?

Yes, it integrates with quote request form Shopify to score submissions based on data.

What benefits does lead scoring bring to sales?

It increases efficiency, ROI by 138%, and conversions by up to 60%.

Is AI lead scoring only for big stores?

No, it’s useful for any Shopify store handling request a quote or leads.

How do I start with AI lead scoring?

Pick a tool, integrate it with your store, set rules, and test.

Dipen

Shopify Expert

Dipen Panchal, Shopify Tech Lead at Setubridge Technolabs, brings over a decade of expertise as a Shopify Expert. Passionate about e-commerce growth, he specializes in UI/UX design, crafting intuitive, engaging solutions tailored for merchants and B2B clients to enhance user experiences.

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