The Agency Discovery Call Playbook for Selling Conversational Commerce as a Monthly Retainer

What Is Conversational Commerce — and Why Agencies Should Sell It on Retainer?

Conversational commerce is the practice of guiding shoppers toward a purchase through real-time dialogue — via chat, DMs, or messaging apps — rather than through a static product listing. The key distinction from a simple chatbot: the server makes the product decision (checking live inventory, price, and stock) while the AI only writes the response. The result is a recommendation that is always accurate, always on-budget, and always purchasable.

For agencies, this matters because it changes the billing model. A one-time chatbot build depreciates. A conversational commerce engine that is continuously optimized — new flows, seasonal catalogs, A/B-tested openers — is a living system that justifies a monthly retainer. Your discovery call needs to surface that gap early.

How Should You Open a Discovery Call for This Service?

Start with the store's current conversion rate, not with your service. Most ecommerce stores convert between 1% and 3% of site visitors. Ask your prospect where they sit, then ask a second question: what happens to the other 97%?

This reframe matters. You are not selling a chat widget — you are selling a second channel for the traffic they already paid to acquire. That framing makes the retainer feel inevitable rather than optional.

A strong opening sequence looks like this:

• "What is your current ad spend, and what is your blended ROAS?" — establishes the cost of acquisition they are protecting.
• "What percentage of your DMs or chat enquiries turn into orders?" — most store owners have no idea, which reveals the gap.
• "If you could respond to every DM within 60 seconds with a personalized product recommendation, what would that be worth?" — anchors the conversation to revenue, not technology.

Which Pain Points Signal a Strong Fit for Conversational Commerce?

Not every ecommerce client is ready for this service. Look for these signals during the discovery call:

• High inbound DM volume with low close rate — the team is overwhelmed or ignoring messages entirely.
• Large or frequently changing catalog — manual recommendations become a liability when SKUs rotate weekly.
• Abandoned cart rates above 70% — these shoppers already showed intent; a timely conversational nudge can recover them.
• Seasonal peaks they cannot staff for — Black Friday, back-to-school, or gift seasons create demand spikes no human team can absorb.
• Repeat purchase businesses — consumables, supplements, pet food — where a recommendation engine compounds over the lifetime of the customer.

When you spot two or more of these signals, you have a client who will feel the ROI of a retainer within the first billing cycle.

How Do You Position Conversational Commerce Against What They Already Have?

Prospects will often say they already have a chatbot or a Klaviyo flow. Here is a clean comparison to use in the call:

Email automation vs. conversational commerce: Email sends a message to a segment at a scheduled time. Conversational commerce responds to an individual, in the moment they express intent, with a product the server has verified is in stock and within their stated budget. The conversion window for email is measured in days; for a DM reply, it is measured in seconds.

You are not replacing their email stack — you are covering the channel their email stack cannot reach: the shopper who sends a message instead of clicking a link.

Tools like SmartBrain are built specifically for this layer: the catalog lives on the server, inventory is checked in real time, and the AI never recommends a product that is out of stock or outside the customer's price range. This is the architecture that makes conversational commerce reliable enough to put on a retainer.

How Do You Structure the Retainer Offer at the End of the Call?

Avoid presenting a flat monthly fee without context. Instead, anchor the retainer to three ongoing deliverables that clients can understand:

• Flow maintenance — updating conversation trees when the catalog changes, new products launch, or promotions run.
• Performance reporting — monthly analysis of conversation-to-purchase rate, average order value from chat, and response time benchmarks.
• Optimization sprints — testing new opening messages, objection-handling scripts, and upsell triggers based on the previous month's data.

A mid-market ecommerce store (doing $500K–$5M annually) can typically justify a retainer between $1,500 and $4,000 per month once the system is live. At that revenue scale, recovering even two additional abandoned carts per day pays for the service.

Close the call by proposing a 60-day pilot: the first month to build and launch the core flows, the second month to measure and optimize. This reduces perceived risk and gives you a natural renewal conversation at day 60.

What Should You Send as a Follow-Up Within 24 Hours?

Send a one-page summary — not a proposal deck — that repeats the three numbers the client mentioned on the call (their ad spend, their current DM close rate or lack of one, their catalog size) and shows how a conversational commerce layer addresses each one. Reference the specific platform they use — Shopify, WooCommerce, or another — and name the integration path.

If you are using SmartBrain, you can include a live demo link built on a sample catalog from their niche. Seeing their own product category in a working conversation does more in 30 seconds than three pages of case studies.

Frequently Asked Questions

How long does it take to get a client's first conversational commerce flow live?

For a focused launch — one product category, one channel (Instagram DMs or Messenger) — most agencies can go live within two to three weeks. A full multi-channel setup with catalog segmentation typically takes four to six weeks.

What objection comes up most often, and how should you handle it?

The most common objection is: "We already have a chatbot." The answer is to ask one follow-up question: "Does your chatbot check live inventory before it recommends a product?" The answer is almost always no — which opens the door to explaining why server-side product logic is the differentiator.

Is conversational commerce only viable for large catalogs?

No. Stores with as few as 20–50 SKUs benefit significantly, especially if products require guidance (size, compatibility, dietary requirements). The smaller the catalog, the easier it is to build high-quality recommendation logic — making it an ideal entry point for a first retainer engagement.

How do you measure success for a client on retainer?

Track three metrics month over month: conversation-to-purchase rate (target: above 15% for warm inbound DMs), average order value from chat versus site average, and response latency. SmartBrain surfaces these natively; for other setups, you will need a simple tagging convention in your CRM.

Can smaller agencies sell this service without a dedicated developer?

Yes. Modern conversational commerce platforms are designed for marketers, not engineers. The catalog sync, inventory checks, and AI copy generation are handled at the infrastructure layer. The agency's job is strategy, copywriting, and optimization — which is exactly the work that justifies a recurring fee.