Martech, rebuilt on a Consumer World Model.
SocialHub.AI runs your Agentic Retention Loop around a living model of every member — a Behavior Model of what each member does, a Digital Twin of what they'd do next. AI agents capture every online and in-store action, decide against the model, and turn it into the next purchase. You set the goals and guardrails.
Trusted by leading brands across three continents
Retail and consumer leaders in the Americas, Europe, and Asia-Pacific.
Logos shown for identification of clients, not as a performance endorsement.
Proven at global enterprise scale.
Three global American brands — VF Corporation, McDonald's, and General Motors — running the loop at enterprise scale.
40% member growth, with 67% of sales now through brand-owned D2C channels.
Read the evidence →From 5% to 85% member GMV as it scaled to 200M+ members.
Read the evidence →700,000 qualified sales leads in 6 months through a direct-to-consumer community.
Read the evidence →Here’s the machine behind those numbers: your Agentic Retention Loop.
Four agents, one self-optimizing loop. Each cycle makes the profile richer, the decision sharper, the activation cheaper, and the loyalty asset heavier — then feeds the next cycle.
- 1Capture — Behavior Capture
- 2Decide — Intelligent Decision
- 3Activate — Cross-Channel Activation
- 4Accumulate — Asset Accumulation
Humans set goals & guardrails
Online + in-store POS events, captured live.
Resolving a register swipe to a member ›
AI agents decide against a Consumer World Model of your base.
Spotting churn risk → DEFACTO cut promo cost 20%→7% ›
Agent-run journeys across email / SMS / app / store.
Firing the next message in seconds, not days ›
Points, tiers & repeat-purchase lock-in.
Turning points into points-mall coupons that drive the next purchase ›
Core technology
At the center of the loop: a Consumer World Model.
The agents don't decide from a spreadsheet. Flash builds a complete, living model of your member base in two halves — a Behavior Model that learns how your members actually behave, trained per brand on their own event stream, and a Digital Twinthat simulates what they'd do next, rehearsing a campaign (and the option of doing nothing) before a single message goes out.
Every decision in the loop — the audiences it finds, the members it saves, the moments it picks — is made against that model, not a guess.
Behavior Model
learns the pastEach member's behavioral fingerprint plus a live read on what comes next — purchase or lapse, and when. Powers lookalike audiences, churn & value-at-risk, and per-member timing. Only goes live once it beats a transparent baseline on your own held-out data.
Digital Twin
rehearses the futureCounterfactual simulation of your member base: the campaign versus the silence, member by member, calibrated against held-out reality — read the expected difference before you send.
Capture every action — online and at the register.
Online behavior, email/SMS clicks, and in-store POS swipes resolve to one live profile. The swipe at the register feeds the loop in seconds.
Let AI agents decide the next best move.
Agents decide against a Consumer World Model of your base — a behavior model of what each member does, a digital twin of what they'd do next — then choose the next-best-action: which offer, which journey, when. You set goals and guardrails.
Activate across every channel, automatically.
Decisions fire as journeys across email, SMS, app and store — no exporting a list into another tool, no multi-day lag.
Accumulate it into loyalty that fuels the next cycle.
Every purchase becomes points, tiers and a reason to return. McDonald's China grew member GMV from 5% to 85% at 200M-member scale, turning its points mall into repeat business.
Three loops, one engine.
The same loop, pointed at your three biggest leaks.
Unify your data & act in real time.
Marketers lose up to 36% of the week manually pulling data across platforms. — Coupler.io / Asana
Capture → AI reads it → journey fires. No lag, no rule rot, no human hand-off. — SocialHub.AI
The loop closes the gap between having data and acting on it.
Grow member revenue — turn each purchase into the next.
A 5% lift in retention can raise profits 25–95%. — Bain/Reichheld, via HBR
Every purchase becomes points, tiers and a reason to return — fueling the next cycle. — SocialHub.AI
McDonald’s China grew member GMV from 5% to 85% as it scaled to 200M+ members.
Cut waste & self-optimize — agents re-tune themselves.
Agents test send times and offers, watch conversions, and re-tune themselves. — SocialHub.AI
Precision targeting replaces blanket discounts — promo spend follows conversions, not the calendar. — SocialHub.AI
Your team works on strategy, not setup.
5% → 85%
member sales contribution
McDonald’s China (SocialHub client)
85.95%
member repurchase after replacing blanket discounts
DEFACTO (SocialHub client)
>50%
promo spend cut while revenue grew 8%
YATA (SocialHub client)
800+
campaigns a year, one internal team
YATA (SocialHub client)
“Give your lean team back the hours now spent on manual A/B setup and list exports — the loop runs that for you.”
Classic benchmarks for context: acquiring a new customer costs 5–25× more than keeping one (HBR, rooted in Bain/Reichheld).
The loop you see is run by a 5-layer engine — data, semantics, agents, apps, and governance — with a Consumer World Model at its core: a behavior model plus a digital twin of your member base that every agent decision is made against.
Built for your shelf.
One retention loop, tuned to the signals, decisions, and loyalty mechanics of your industry.