Turn Browsers Into Buyers on Your Own Store, Around the Clock

Seven out of ten carts never make it to checkout

The Baymard Institute, which has tracked checkout behavior for years, puts the average documented cart abandonment rate at 70.22%, based on 50 separate studies. Across US and EU ecommerce, Baymard estimates $260 billion in lost orders are recoverable, not by finding new visitors, but by fixing what happens after a shopper already wants the product.

Look at why shoppers say they abandon, in Baymard's research on shoppers who intended to buy. The top reason, at 40%, is extra costs such as shipping, tax and fees that showed up as a surprise. Another 19% did not trust the site with their card details. Others gave up because delivery was too slow for their deadline or the checkout raised questions nobody was there to answer.

Almost every one of those is a question dying in silence. "How much is shipping to Texas?" "Is this fabric machine washable?" "Can I return it if the size is wrong?" Each unanswered question is a decision made by default, and the default is to leave. An AI sales agent turns that silence into a conversation at the exact moment the shopper is deciding, which is something a help center page, opened in another tab, has never done well.

What your shoppers are actually asking

Store owners see the same questions arrive through email and social messages every week. On your website, they sound like this:

Shoppers still browsing ask:

• "What is the difference between these two models?"
• "Do you have this in a size 8 or in navy?"
• "Is this good for sensitive skin?"

Shoppers comparing ask:

• "How much is shipping, and how long does it take?"
• "Is this cheaper anywhere else, or do you price match?"
• "What is this made of, and where is it made?"

Shoppers ready to buy ask:

• "If I order today, will it arrive before Saturday?"
• "What is your return policy on sale items?"
• "Do you have a discount code for first orders?"

Every one of these is a person with a card in reach deciding whether to use it on your store. SparkGPT reads your product pages, your shipping and returns policies and your FAQ, then answers instantly and steers each conversation toward an order, a captured email, or the exact product the shopper was struggling to find.

The fee math of marketplaces versus your own store

Many store owners sell on the big marketplaces because that is where the traffic is, and they accept the toll that comes with it. On Amazon, the referral fee is 15% for the majority of categories, with a full range of 5% to 45% depending on category, according to Feedvisor's 2026 fee guide. That 15% comes off every sale in those categories, whether Amazon introduced the buyer to your brand or simply stood between you and a customer who searched for your product by name. On a $200 order, that is $30 gone before advertising, fulfillment or storage costs.

Now run the same order through your own store with an agent on it. A shopper lands on your site, asks about sizing and delivery, gets answers in seconds, and checks out. If that order happens within 24 hours of the conversation, SparkGPT's share is 5%, which is $10 on the same $200 order, and it applies only to sales the agent actually helped create. Orders that arrive with no conversation behind them are yours alone. There is no scenario where the fee arrives without the sale, and every attributed order is listed in your ROI dashboard where you can audit it line by line.

The point is not to leave the marketplaces. It is that every sale you win on your own store instead of through a 15% channel keeps roughly ten points of margin at home, and an agent that answers presale questions is one of the few tools that moves that number directly.

From your website to a working agent in three steps

You do not need a developer, and you do not need to replatform. Most stores are live in about ten minutes.

1. Paste your store URL. SparkGPT crawls your product pages, collections, policies and FAQ, and builds an agent that speaks from your own content.
2. Test it like your pickiest customer. Ask it about shipping cutoffs, returns on sale items, fabric care. Refine anything you want said differently. This step is free, with no credit card and no expiry.
3. Add one line of code to your theme. Paste a single embed line into your store template. The agent now greets every visitor, on every product page, at every hour someone is shopping. If you run on Shopify, the step by step Shopify guide walks through the whole setup.

What a conversation looks like when the agent is selling

Here is how SparkGPT handles the jacket shopper from the top of this page, at 10 pm, with nobody on shift.

Visitor: Will the field jacket arrive before Friday if I order tonight? And what if the medium doesn't fit?

Agent: Orders placed before midnight ship the next business day, and standard delivery to most US addresses takes 2 to 4 days, so ordering tonight comfortably makes Friday. If the medium does not fit, exchanges are free within 30 days, and the size guide on this page suggests sizing up if you are between sizes. Would you like the direct link to the medium in olive, which is what you have in your cart?

Visitor: Yes. Does it work for rain?

Agent: It is water resistant rather than waterproof, so it handles light rain well but is not built for a downpour. If you need full waterproofing, the shell jacket in the same collection is the one reviewers pick for wet weather. For everyday commuting, the field jacket you chose is the more popular option. Anything else before you check out?

Visitor: No, that covers it.

Notice what happened. The two questions that were about to kill the sale, delivery timing and fit risk, were answered with specifics from the store's own policies. The shopper even got an honest steer on the product's limits, which is what makes the recommendation believable. That is the difference between a chatbot that deflects tickets and an agent that closes carts.

Pricing that moves with your revenue, not against it

Ecommerce revenue is spiky. A fixed chatbot subscription bills you the same in a quiet February and in the middle of Black Friday week. Here is how the billing trigger differs across popular tools, as of September 2026:

To be fair to the alternatives, these are capable products. Alhena in particular takes revenue attribution seriously and shows uplift dashboards, and Tidio's suite is mature across live chat and email. The structural difference is what the meter is attached to. Every platform above charges on activity, whether that activity produced revenue or not. SparkGPT is the one where the variable fee exists only when an attributed sale exists.

You only pay when SparkGPT makes you a sale. An order is attributed when it is placed within 24 hours of a conversation with your agent, and every attributed order appears in your ROI dashboard with its value, so the number you see is the number you are billed on. Billing runs on prepaid credits, where 1 credit equals $1, and if the balance runs out the agent pauses instead of surprising you with a bill. Full details are on the pricing page, and if you are weighing SparkGPT against the category leader, the SparkGPT vs Chatbase comparison walks through the math line by line.

Frequently asked questions from store owners

Does it work with Shopify, WooCommerce or a custom storefront?

Yes. The agent deploys with a single embed line in your theme or template, so it works on Shopify, WooCommerce and custom built stores alike. Shopify merchants can follow the dedicated setup guide on our blog, and the Done For You plan includes hands on integration for custom storefronts.

How does SparkGPT know which orders the agent earned?

When a shopper talks with your agent, that session is marked. If the same shopper places an order within 24 hours, the order is attributed to the agent and appears in your ROI dashboard with its value. The 5% fee applies to those attributed orders and nothing else.

What if a shopper chats today and buys next week?

Then the sale is entirely yours and is never billed. Attribution stops 24 hours after the conversation, which keeps the fee tied to sales the agent plausibly influenced rather than everything a customer ever buys from you.

Will the agent invent discounts or product details we never published?

The agent answers from your published store content: product pages, policies and FAQ. It does not create offers you have not written. When you change a price or a policy, re sync the agent and it answers from the current version, and you can test all of it on the Free plan before a real shopper ever sees it.

Can it handle Black Friday traffic without blowing up my bill?

Conversations on the Growth plan are unlimited, so a traffic spike does not change the $49 base. The 5% side grows only when attributed sales grow, which means a big November bill arrives only alongside a bigger November revenue line. Prepaid credits add a hard ceiling, because the agent pauses when the balance runs out.

Our catalog is small. Is an agent overkill for a store like ours?

Small catalogs often benefit most, because every lost sale is felt. The agent costs $49 per month at the base, takes about ten minutes to set up, and the Free plan lets you test it against your real product questions before deciding, so the experiment costs nothing but the setup time.

Your store is open all night. Your answers should be too.

Paste your store URL at www.sparkgpt.ai and watch your own agent answer your own shipping and sizing questions in about ten minutes. No credit card, no expiry, no risk.