SamDesk vs Trengo: which support model fits your queue

Pull last month's conversations and sort them by channel and by subject. If WhatsApp, Instagram, Facebook, and SMS carry a meaningful share of the volume, Trengo is the product built for that shape and SamDesk does not claim to match its channel breadth. If the volume is overwhelmingly email and chat, and the subjects are overwhelmingly "where is my order", "can I return this", and "the size is wrong", then channel breadth is not your constraint and order context is. That single sort answers the comparison faster than any feature matrix.

Trengo's documentation covers WhatsApp Business, email, website chat, Facebook, Instagram, Telegram, SMS, and voice, with assignment, labels, and automation across all of them. SamDesk treats email and chat as the core channels and spends its surface area on what sits next to the conversation instead: the customer record, the related orders, fulfilment and tracking status, internal notes, and the ticket that carries ownership. Both approaches are defensible. What is not defensible is buying breadth you do not use, or buying depth for a queue that is genuinely multi-channel.

• Trengo: more channels in one inbox, including WhatsApp and voice
• SamDesk: fewer channels, more store and order context inside the reply
• Test the handoff: what happens when a WhatsApp thread becomes an email case?

For a webshop queue, handling time is mostly spent looking things up. The test is concrete: can the agent see the order, its fulfilment status, and the tracking link without leaving the reply, and can they act on it — issue a refund, resend a label, correct an address — rather than only read it? SamDesk builds Shopify and WooCommerce context into that flow. Trengo can be connected to store data too, so do not assume either answer; open both products with your own store connected and time the same three lookups.

Trengo leans on flowbots, chatbots, and rules that handle instream before a human sees it, which suits high-volume repetitive channels. SamDesk's AI produces drafts an agent reviews before sending, and runs on a bring-your-own-key model so the provider account and usage stay with your team. Decide the policy before the tool: an autonomous bot and a reviewed draft are different risk positions, and the right one depends on how costly a wrong answer is in your category. Regulated, high-value, or returns-heavy catalogues usually want a human in the loop.

• Autonomous replies: fastest, but errors reach the customer directly
• Reviewed drafts: slower per message, but the agent owns the outcome
• BYOK: AI spend runs through your own provider account rather than a per-resolution markup

Both vendors publish current pricing on their own sites and both change it, so read it at the source. The comparable part is the shape. Channel inboxes are normally billed per user per month with heavier automation gated to a higher plan, and WhatsApp Business conversations carry a separate charge from Meta that sits outside the subscription entirely. SamDesk uses a flat workspace subscription with AI passed through at your own provider cost. Price both against the same agent count, the same monthly conversation volume, and — critically — the same WhatsApp volume, or the comparison is meaningless.

A channel inbox reports naturally on channel mix, response times per channel, and bot deflection. A ticket-centred product reports on first response time, resolution time, reopen rate, backlog age, and SLA attainment per queue. If your Monday review already runs on backlog age and SLA attainment, moving to channel-mix reporting will feel like losing control even when more data is available. Write down the five numbers you read every week and confirm each product produces them without an export step.

Whichever way you move, scope the same list: mailboxes and channel connections, users and roles, conversation history with message chronology and attachments, contacts, tags, saved replies, automation rules, and reports. Channel connections are the part that bites — WhatsApp Business numbers, in particular, have to be migrated through Meta and cannot simply be re-pointed. Run one queue in parallel, keep a dated export you own, and move the rest only when ownership, response time, and escalation behaviour have held steady for a full cycle.

Choose Trengo when more than a marginal share of your conversations arrive through WhatsApp, social, or voice, or when outbound WhatsApp campaigns are an explicit requirement. Choose SamDesk when the queue is email and chat, the subjects are order-shaped, and the win comes from removing lookups and making the next owner unambiguous. If both look plausible after the channel sort, run the pilot on the harder cases rather than the average ones — the average case never decides anything.

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