What it is. Sid is a conversational AI module that sits at the moment of first purchase or signup. It runs a short qualification chat, reads the customer's language for signs of genuine alignment with the product, and offers depth of discount accordingly. Customers who share context and whose interests align unlock the deepest rates. Bargain-hunters and aggressive negotiators get held at list price, warmly.
How it's integrated. Sid drops into the partner's checkout, signup or pre-purchase flow as a conversational overlay, replacing or augmenting the existing voucher-code field. The Analyzer Engine scores each reply on the same five-axis Life History fingerprint Felix uses for retention, but with weights tuned for acquisition signal: alignment, intent, and resistance to manipulation. Discount tier, fields captured, and ZPD output flow back into the partner's CRM.
Why we built it. Blanket voucher codes leak margin. A 15% off sitewide hits the genuinely interested buyer and the price-tourist alike, and the price-tourist has no intention of returning. Sid moves discount from a stimulus broadcast to a reward earned. Generous to those who arrive with purpose. Firm with those who arrive with leverage. The same Paradox Strategy that powers the Felix retention layer, applied at the front door.
Pick a scenario. Choose how the customer responds across three turns. The brain panel on the right shows the alignment and price-focus scores building in real time. At the close, Sid composes a discount tier — or holds list price firm if the score doesn't earn it.
A 15%-off code in a customer's inbox is sent to everyone. Some of those people were going to buy at full price. Some were never going to come back. The brand has no way to tell them apart, so it discounts both. Sid replaces that broadcast with a conversation that distinguishes between them in under a minute.
Sid is not a list of features. It's a single transaction, performed in three parts. The bot opens with a question that probes alignment without asking directly. It listens, scores, and decides. Then it offers, holds firm, or walks away — depending on what the customer revealed.
Sid never asks "do you want a discount." It asks why the customer is here. The opener is calibrated to the product — opera tickets, restaurant booking, craft class, fitness pass — and the question is designed to surface the heuristic that signals fit. Cultural literacy for opera. Food fluency for restaurants. Making interest for craft. Routine commitment for fitness.
For opera: "Quick one — what made you book this production specifically? Anything you've seen recently you loved?" The question is genuinely curious. It's also a screening device. The customer who names a recent staging at the ROH or a favourite conductor is announcing their fit. The customer who says "it was the cheapest" is doing the same in reverse.
Sid acknowledges before asking again. Specific reflections of what the customer just said, not generic platitudes. Two turns in, the customer feels asked-after rather than tested — even though both are happening simultaneously.
The five-axis Analyzer Engine runs as the customer replies. For Sid, the decisive axes are alignment depth and price focus. High alignment plus low price focus unlocks generosity. High price focus plus low alignment triggers resistance — the Paradox Strategy in its original form, refusing to reward extraction even when extraction is rude.
Specific cultural references, articulated reasons, sustained warmth across turns — these lift the alignment score. The customer who shares more, gracefully, ends up with more. They never know that's why.
Aggressive haggling, manipulative politeness pasted from a discount-hunting forum, copy-pasted phrases timed too precisely — the anti-hack layer reads incongruence between language and metadata. Sid stays warm in tone but firm in price. No discount unlocks. No friction is added.
Sid never haggles. It composes a discount tier from the partner's defined inventory, scaled to the composite score. High alignment unlocks the deepest tier. Mid scores unlock the standard tier. Extraction unlocks nothing — the customer pays list, the conversation closes warmly, and Sid wishes them well. Decline without insult is a feature, not a bug.
Partner controls the discount inventory: 0%, 5%, 10%, 15%, occasional partner-bundle. Sid maps signal to tier. The deepest discount goes only to customers whose behavioural fingerprint suggests retention — turning acquisition cost into a retention investment in the same transaction.
For extractive customers, the closing line is short and warm. "I'm afraid I can't get any deeper than list on this one, but it's a wonderful production — hope you enjoy it." No reward. No passive-aggressive hold. The customer is free to buy or not. The brand has just protected ~£X of margin without leaving an angry-customer trail.
Both customers arrive at the Royal Opera House checkout. Both want a 15% discount on Lohengrin. One has a cultural fingerprint that suggests they'll return. The other doesn't. Sid distinguishes between them in three turns.
Sid's question structure adapts to what's being purchased. Each vertical has its own alignment heuristic — the specific behavioural signal that predicts return. Sid is calibrated against these per deployment.
Sid's edge is what it refuses to do. The Paradox Strategy holds that customers who lead with extraction are the wrong ones to discount, regardless of how cleverly the extraction is framed. These three patterns trigger the resistance layer.
Same five-axis Analyzer Engine underneath both bots. Same dialogic register. Different jobs at different points in the customer lifecycle. Together, the pair turns acquisition cost and retention spend into a single coordinated investment in the customers who actually return.