How to Price a Conversational Commerce Build as a Shopify Agency (Numbers, Scope & Deliverables)

What Should a Conversational Commerce Build Actually Cost?

For most Shopify agencies, a conversational commerce engagement lands between $3,500 and $18,000 depending on catalog complexity, channel count, and whether the client needs a custom recommendation logic or can work with a structured rules engine. Retainer extensions — ongoing optimization, A/B testing conversation flows, seasonal refreshes — typically run $800–$2,500 per month on top of the build fee.

These numbers assume you are selling a complete solution: channel setup, flow architecture, catalog integration, and a handoff that leaves the client able to operate independently. Agencies that bundle only the technical setup without strategic deliverables consistently underprice and then overserve.

What Is Conversational Commerce, Exactly?

Conversational commerce is the practice of conducting product discovery, recommendation, and purchase through a messaging interface — Instagram DMs, Facebook Messenger, WhatsApp, or an on-site chat widget — rather than a traditional browse-and-search storefront. The defining characteristic of a well-built system is that the server decides what to recommend based on real catalog data (inventory, price, margin, availability), while the AI or automation layer handles only the language and tone of the response.

This distinction matters for pricing: systems where the AI is hallucinating product details or ignoring stock levels are fragile and expensive to maintain. Systems like SmartBrain, where recommendation logic is grounded in the live Shopify catalog and the AI writes copy around a server-selected SKU, are far more predictable to scope and support.

What Factors Drive the Price Up or Down?

Catalog Size and Structure

A store with 50 SKUs and clean product tags takes a fraction of the setup time of a store with 4,000 products, variant-heavy listings, and no consistent taxonomy. Expect to add $800–$2,000 to your estimate for catalog remediation work when you inherit a messy Shopify back-end.

Number of Channels

Each channel — Instagram DMs, Messenger, WhatsApp Business API, SMS — has its own provisioning, compliance requirements, and conversation design nuances. Pricing one channel and then being asked to add two more mid-project is a common scope-creep trap. Price each channel explicitly: $1,200–$2,500 per channel depending on API complexity.

Custom Logic vs. Off-the-Shelf Rules

A basic keyword-triggered flow that matches intent to a product category is quick to build. A system that factors in cart history, loyalty tier, seasonal promotions, and cross-sell rules requires substantially more architecture time. Add $2,000–$5,000 for non-trivial recommendation logic.

Integration Depth

Does the client use Klaviyo, Gorgias, a custom ERP, or a PIM? Each integration point adds scoping risk. Price integrations as line items, not as part of a flat fee.

How Should Agencies Structure Their Pricing Tiers?

Three tiers work well for most agency sales conversations:

• Starter ($3,500–$5,500): One channel, up to 500 SKUs, pre-built flow templates, one recommendation category, two rounds of revision. Ideal for DTC brands testing conversational commerce for the first time.
• Growth ($7,000–$11,000): Two channels, up to 3,000 SKUs, custom flow architecture, multi-category recommendation logic, integration with one CRM or helpdesk, thirty-day post-launch support.
• Enterprise ($13,000–$18,000+): Three or more channels, full catalog, custom server-side recommendation engine (such as SmartBrain's catalog-grounded approach), multi-language support, A/B testing infrastructure, dedicated optimization retainer.

Present these as outcomes, not hours. Clients do not buy development time — they buy a system that converts DMs into revenue.

What Deliverables Should Be in Every Proposal?

A clearly defined deliverable list protects both agency and client. Every conversational commerce proposal should include:

• Conversation architecture document: A written map of every intent, branch, and fallback in the flow before a single line of automation is built.
• Catalog audit report: What is in scope, what is excluded, and what needs cleaning before the system can recommend accurately.
• Channel setup confirmation: Provisioned API credentials, verified business accounts, compliance documentation (especially for WhatsApp Business API).
• Recommendation logic specification: Explicitly documented rules for how products are selected — by margin, inventory level, tag match, or a ranking algorithm. This is where tools like SmartBrain add value: the selection logic is deterministic and auditable, not a black box.
• Test conversation transcripts: A set of recorded test sessions covering the top five customer intents before handoff.
• Client operations playbook: A concise guide covering how to update product tags, add seasonal logic, and escalate edge cases to a human agent.

Project-Based Fee vs. Retainer: Which Model Is Better?

Both models work. The choice depends on how much ongoing value you can deliver.

• Project-based: Clean, easy to sell, lower ongoing commitment. Risk: clients underinvest in optimization after launch and then blame the build when results plateau.
• Retainer: Higher lifetime value, deeper client relationship, better data for proving ROI. Risk: if you cannot show measurable monthly improvement (conversion rate, average order value, response-to-purchase time), clients churn within three months.

The strongest agency positioning is a project fee plus a performance retainer: charge for the build, then charge monthly for A/B testing flows, refreshing catalog rules ahead of peak seasons, and reporting on DM-to-purchase conversion. This aligns agency incentives with client results and is far easier to renew than a maintenance contract.

Frequently Asked Questions

Can a small agency with no AI background sell this service?

Yes. The technical complexity is in the catalog integration and conversation design, not machine learning. Platforms that ground recommendations in live Shopify data handle the hard part; the agency's value is in scoping, flow design, and client management.

How do I justify a $10,000+ price tag to a skeptical client?

Anchor to revenue. If a store does $500,000 per year and a conversational channel converts at even 2% of DM volume with an average order value of $80, the math closes quickly. Show the calculation explicitly in your proposal.

What is the biggest scoping mistake agencies make?

Treating catalog work as free. Cleaning product tags, standardizing variant naming, and writing recommendation-ready descriptions can consume twenty or more hours on a messy Shopify store. Always audit the catalog before finalizing the quote.

Should I price by channel or by conversation flow?

By channel first, then layer in flow complexity as a modifier. Channels determine infrastructure cost; flows determine design and testing cost. Separating the two makes negotiations cleaner.

When does a retainer make sense for the client?

When the product catalog changes frequently — seasonal collections, frequent promotions, new SKU launches — a retainer pays for itself. Static catalogs with stable flows need less ongoing attention and are better served by a project-plus-support-hours model.