the full AI stack of a DTC brand: from lead ads to reviews.

When someone completes a Facebook Lead Ads form, heysteff receives it as an event and can trigger an automatic flow that starts the conversation right away — over WhatsApp if they left their phone number — instead of letting the lead go cold waiting for manual follow-up. The founder can optionally configure the flow to fire only for a specific form when running several campaigns in parallel.

Instead of a rigid questionnaire, the agent asks — inside the normal conversation — for the data points the founder defined as relevant to qualify: budget, location, urgency, whatever applies to the business — and saves them to the contact's profile. With that data already qualified, Steff decides whether the next step is scheduling or going straight to the sale.

This is the step that's usually missing when a DTC brand wires ads straight into a generic chatbot: without qualification, the sales team receives the same volume of conversations without knowing which ones are worth prioritizing. With qualification already done by the agent, every lead that reaches a person arrives with the context needed to decide in seconds whether it moves forward.

If the business needs a call or a demo before closing, the built-in scheduling proposes real time slots synced with Google Calendar, inside the same conversation. If the product sells directly from the catalog, Steff moves the sale forward right there, with the already-qualified data as context.

If you sell on Shopify and the customer gets to the cart but doesn't complete the purchase, automatic abandoned-cart recovery picks the conversation back up — heysteff's own published figure is an average 4.2x recovery versus doing nothing.

When Shopify marks the order as fulfilled, heysteff Reviews — heysteff's reviews product for Shopify, installed separately from the core agent — messages the customer over WhatsApp or email asking for their opinion as a conversation, with room for a rating, text, photo and video. That review, once moderated, is displayed on the storefront with the theme editor widgets.

The cycle closes with a follow-up flow — built with the same visual builder — that invites a repurchase at the right moment, using the customer's purchase history as context. The same agent that answered the customer's first question is the one that asks for the review and reminds them it's time to buy again: there's no handoff between different tools.

The real work isn't technical, it's judgment: in Lead Ads, deciding which form triggers the flow and with what opening message. In qualification, deciding which three or four data points actually separate a good lead from one that won't buy. In scheduling, connecting the right calendar and defining the team's real availability. In abandoned cart, defining the message and the waiting time. In reviews, deciding the moderation threshold and which widgets to show. In repurchase, defining the product's typical repurchase cycle. Each piece is configured once, from the panel, and runs on its own from then on.

• AI for DTC brands
• AI sales automation
• AI lead qualification
• heysteff Reviews