Google Analytics
Mixpanel
Matomo
Adobe Analytics
Hotjar
Plausible.io
Heap
Smartlook
HelpForShopping
iAdvize
ZipChatAI
Chatbase
Manifest AI
Zendesk
ResolveAI
tawk.to
We increase e-commerce conversion rate, average cart value and customer retention rate, improve user experience and reduce the product return rate by providing their customers the help they need to pick the right product for their needs. We currently do this in a two way:
Our experts are people passionate about a specific product category, who can answer the users questions through a chat widget placed directly on the client’s e-commerce website. They can register to our service on their own or we can look for them along with our clients, elevating their best customers to "brand embassadors" and trusted shop buyers for the other visitors. Shops who so wish can have thier own agents answering in the chat, exclusively or along side HelpForShopping experts.
By helping the user in his journey towards the purchase of the product, the expert can keep the purchase intent momentum high, quickly removing any obstacles that the user may find on his way, like: doubts on a specific product, difficulties understanding how the specifications of a product match with his or her needs, making comparisons among different products and so on. A well informed user can get quicker to the purchase, with higher confidence which turns into a higher conversion rate. Aiming at the best match between the user needs and the product, thus increasing user’s satisfaction when using it, it is also easier to increase the overall value of the purchase, as price is no longer the main driver or only driver in the product selection. The good fit of the product to the customer’s needs helps also reducing the product return rate. Overall, we allow e-commerce to increase its operating margin.
Google Analytics HelpForShoppingNo features have been listed yet.
HelpForShopping's answer:
We compete against standard live chat systems and "experts based" chat systems like ibbu-iAdvize, which provides a similar service but has a different business model and aims mostly at large companies.
Standard live chat systems rely on e-commerce employees or bots, they rarely can serve the user as it should be. Employees are often burdened with other tasks and have poor performance when they are used “also” to reply to chats, more often than not the user is either left alone waiting to be contacted or simply directed to the product producer page to find out things on his/her own. Not AI based Bots instead are good for replying to simple questions which remind of FAQ but cannot have the ability to understand complex questions and suggest a product based on the user needs, which may be expressed in a variety of ways.
We offer a basic service as freemium for everyone to try and scale up but we also work together with our clients to find the best solution for them, in a tailored, very versatile way.
HelpForShopping's answer:
We offer a two-fold, soon three-fold service, where the clients can rely on their own agents and HelpForShopping product experts to guide their users. We have different pricing plans that can adapt well to the small shop and to the big e-commerce alike.
HelpForShopping's answer:
Have you ever asked to a friend a recommendation about a product to purchase, if so, you have basically tested successfully HelpForShopping service already. The main difference between shopping online and offline in terms of user experience is that when shopping online, customers are basically left alone on their own to figure out everything. What if we could blend the online and offline shopping into something more satisfying, clearer and ultimately better experience? We believe that's the key to stop fighting only over price, and increase the e-commerce margin by adding value to the shopping experience itself, not only the products on sale.
Based on our record, Google Analytics seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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