Your AI companion for Heyy.

Find buying signals before promising follow-up.

Purchase intent is rarely limited to one phrase.

A prospect may ask about availability, compare options, request pricing context, mention timing, or return after an earlier conversation. Strawberry can review the visible context in Heyy and distinguish a casual question from a thread that merits a focused response.

Ask for a practical shortlist: conversations with high intent, the evidence behind each classification, the customer’s last question, and a recommended next step. You can also ask it to separate urgent opportunities from early-stage interest, so a busy inbox does not flatten every message into the same priority.

This is especially useful when several people are messaging at once. Rather than relying on memory or scanning by instinct, you get a reasoned view of where a timely answer could make the biggest difference.

Make every customer answer clearer and more useful.

Good replies in Heyy need to be accurate, direct, and suited to the tone of the conversation.

Strawberry can help you assess reply quality before anything is sent: whether the draft answers the actual question, uses plain language, includes the necessary context, and gives the customer a clear next step.

Bring the companion a thread and ask for two or three reply options with different levels of detail. It can preserve the facts you provide while helping remove repetition, soften an overly abrupt answer, or make a vague response more specific. For customer questions that come up repeatedly, ask it to compare several existing replies and identify the clearest framing.

The goal is not to make every message sound identical. It is to help your team respond consistently while leaving room for judgment, context, and a human voice.

Turn conversation patterns into content direction.

Direct messages often reveal the language customers actually use when they describe a problem, hesitate before buying, or explain what they want. Those details can be more useful than a generic list of content ideas. Strawberry can review a selected set of Heyy conversations and pull out repeated themes without losing the nuance behind them.

Ask it to identify recurring objections, misconceptions, desired outcomes, and terms that appear in customers’ own words. From there, it can organize the findings into possible educational posts, FAQs, product explanations, or follow-up topics for your team to develop.

You can also use Heyy conversations to test whether your current content is doing its job. If customers repeatedly ask questions that an existing post should answer, that is a signal to improve the material, clarify the offer, or make the information easier to find.

Review the inbox on a weekly cadence and act on what changes.

Set a concrete weekly review every Monday morning for the previous seven days of Heyy conversations. Ask Strawberry to review new customer questions, emerging purchase-intent signals, unresolved threads, common reply weaknesses, and topics that appeared more often than usual.

The output should be a working brief, not just a summary: which conversations need attention first, what information customers are missing, where the team’s responses could be improved, and which insights deserve to influence upcoming content. Compare the week with the prior review to see whether a new objection is growing, a common question has been resolved, or a message theme is becoming an opportunity.

This cadence gives your team a repeatable way to learn from direct messages without treating the inbox as an isolated support channel. It connects day-to-day replies with better customer understanding and sharper communication over time.

Frequently asked questions