What your dashboards show
- Traffic and sessions
- Conversion rate
- Revenue and AOV
- Top pages and products
- Abandoned carts
Bring more shoppers back — and make every message they get more relevant.
Most shoppers leave without buying. Converta understands what each one was actually looking for, finds the product that fits, and passes that context into the marketing tools you already run — so the follow-up speaks to a real need, and more shoppers return.
The problem
Most ecommerce decisions are made with incomplete context.
You can see traffic. You can see conversions. Hesitation is harder to see—and the question behind the visit often never reaches your dashboards at all.
What they rarely explain
- What they were trying to accomplish
- Requirements they stated in their own words
- Product questions that never got a confident answer
- Fit concerns and comparisons they raised
- Why they left before buying
Rich qualitative signal often stays in chats, inboxes, and one-off notes—rarely in a form your marketing and merchandising teams can use consistently.
The solution
Shopper intelligence you can review—not another black box.
Converta does not ask you to trust a score you cannot interpret. It helps your team see needs, product fit, and open questions from real store conversations—then decide what belongs in follow-up, in the catalog, or in the workflow you already run.
How it fits your workflow
From storefront conversations to decisions your team can own.
- 01
Combine conversation and visit context
Converta uses what shoppers ask alongside relevant signals from their visit—so intent and product fit are connected, not trapped in a chat log or a click stream alone.
- 02
Your team reviews what mattered
For example: a stated need (“gift for my sister who loves linen”), relevant attributes, a matched product from your catalog, and an open question (“will this ship before Friday?”)—without reading every raw message yourself.
- 03
Patterns become visible over time
The same needs and the same product questions can show up again, so merchandising and product information priorities are easier to discuss.
- 04
Context goes where you already work
Use the result in Converta, export when you need to, or pass eligible records into tools you already run. Your platform still sends messages and still owns consent.
Understand the result without decoding the system.
Review the shopper's stated needs, relevant product match, and unresolved questions. Converta makes the context actionable while keeping the underlying implementation out of the way.
What becomes possible
Replace guesswork with conversation context—where you can verify it.
Hesitation with context
Understand not only that someone left, but what they were trying to decide—when that showed up in the conversation.
Product gaps you can act on
When shoppers ask for facts your catalog does not support well, that uncertainty stays visible instead of being hidden behind a guess.
Follow-up that reflects real intent
Give lifecycle and retention teams something specific to work with—not the same generic reminder you would send to everyone.
Merchandising signals
Recurring requirements and objections can inform what to clarify on product pages and in the information you make available to assistants.
Less transcript archaeology
The goal is a reviewable record of needs, fit, and open questions—not a mandate to mine chat logs by hand.
From context to follow-up
Intelligence is most useful when the next message reflects what someone asked.
Converta helps you understand needs and product fit from store conversations. Your team applies that context in the marketing tools you already run.
Images below are examples only. Converta does not send WhatsApp, social ads, or email for you. Klaviyo sync is available today; other channels depend on export and your workflow.
What you can work with
Outcomes in the app—not a lecture on how we built them.
Converta is early access. What you see in the product today is validated with a small group of merchants; scope will grow, but the principle stays the same: show what is known, flag what is not, and let your team choose the next step.
Individual shopper context
When someone shares contact details, you can see their stated needs, relevant products, and questions that still deserve a better answer.
Recurring themes
Topics that keep appearing across conversations—useful for prioritizing product information and assortment conversations.
Honest fit and limits
A confident match is not the same as a guess. When evidence is thin, Converta keeps that visible so your team can decide what to do next.
Leads worth a second look
Conversations that include buying interest and contact information can surface as leads your team can review before any outreach.
Where it starts
Intelligence starts with the conversation on your store.
Shopper Assistance helps visitors in the moment. Shopper Intelligence helps your team afterward—same conversations, different job: review, prioritize, and act without treating every chat as a support ticket.
Your stack
Intelligence belongs in the workflow you already run.
Converta complements your store, your email or lifecycle platform, and your team's judgment. It does not send campaigns, does not own consent, and does not promise a specific revenue lift from a dashboard alone.
Helpful intelligence still depends on product information. When the catalog cannot support an answer, Converta surfaces the gap—not a fabricated fact.
See whether conversation context is useful on your catalog.
Start a free trial on your store. We confirm what is live for you before you connect—and you stay in control of what happens next.