Does an AI sales chatbot pay for itself? Measuring Algoshop in contribution margin

Every app on your Shopify bill makes the same promise: more sales. Few of them are judged on the number that matters — whether they add more contribution margin than they cost. AI sales chatbots are a good test case, because they touch both sides of the P&L: they can lift conversion, and they can save support time.

We've been talking with the team behind Algoshop AI Sales Chatbot, a Shopify app we like for what it is. Here's what it does, and how to tell whether it's paying for itself in your store.

What Algoshop does

Algoshop is an AI chatbot plus live chat for Shopify, with the "Built for Shopify" badge. In short:

• Learns your catalogue automatically. Connect the store and it syncs your products, so answers about sizes, materials or availability come from your real data. You can add PDFs (policies, size guides) to its knowledge base.
• Sells, not just answers. Proactive outreach cards triggered by shopper behaviour — the chatbot equivalent of a good shop assistant noticing someone hesitating.
• Self-service order tracking. "Where is my order?" is the most common support ticket in ecommerce; letting the bot answer it is the fastest win.
• One inbox across channels. WhatsApp, Messenger and Instagram (DMs and comments) alongside on-site chat, with a human handover to live chat.
• Multilingual. It replies in 20+ languages, which matters if you sell cross-border.

Pricing (as listed on the Shopify App Store in October 2026) starts with a free plan (100 AI and 100 live chat messages a month), then paid tiers from $39.90/month, with a 7-day trial. It's rated 4.9 from roughly 90 reviews at the time of writing.

The question your P&L asks

A chatbot doesn't earn money by being clever. It earns money through two mechanisms, and you should measure each one separately:

1. Incremental orders. Shoppers who would have left without buying, but didn't because their question got answered at 2 a.m. in their own language.
2. Cost avoided. Support hours you no longer pay for (or no longer spend yourself) on "where's my order?" and "does this run small?".

Both need to beat the subscription. The trap is measuring the first one in revenue.

A simple way to check it

You don't need attribution software for a first answer. Use a before/after window:

1. Pick a clean baseline. Note your 30-day orders, conversion rate and contribution margin before installing. Avoid windows with big promotions.
2. Install and give it a month. Let it learn the catalogue and turn on order tracking first — it's the lowest-risk, highest-volume use case.
3. Compare contribution margin, not revenue. If contribution margin per day rose by more than the plan costs per day, the app is paying for itself on the sales side alone.
4. Add the time saved. Count tickets the bot closed without a human, multiply by the minutes each one used to take, and value that time honestly.

A worked example with illustrative numbers: a store at 35% contribution margin and a €60 average order needs about 2 extra orders a month to cover a ~€40 plan (2 × €60 × 35% = €42). Anything beyond that, plus the support time saved, is profit.

Where Margeny fits

That before/after comparison is exactly what Margeny is built for. It puts your contribution margin — after COGS, payment fees, shipping, refunds and discounts — on one dashboard, with period-over-period deltas and profit after ads, so you can see whether a new app, campaign or price change moved real profit or just revenue.

Tools like Algoshop work on the front of the funnel; Margeny tells you what's left at the bottom. Used together, you stop guessing which apps earn their place on your bill.