Your best growth is already in your database.
SocialHub.AI builds your Agentic Retention Loop — AI agents capture every online and in-store action, decide the next best move, and turn it into the next purchase. You set the goals and guardrails.
Customer acquisition costs are up 222% in eight years (DTC industry data). Apple’s ATT alone cost Meta an estimated $10B in a single year (Meta investor guidance). The buy-your-way-to-growth era is breaking.
Two forces are squeezing every retailer at once.
The funnel resets to zero every quarter.
You buy traffic, convert some, and start over next quarter — paying more each time. 88% of subscription brands report rising acquisition costs (DTC industry data).
Paid growth is going blind.
Apple’s ATT cut the data paid ads depend on — costing Meta an estimated $10B in one year (Meta investor guidance). You can’t prove the ROI you used to.
The fix isn’t buying more traffic. It’s wringing more out of the traffic you already have — one cycle at a time.
Proven at global enterprise scale.
Three global American brands — VF Corporation, McDonald's, and General Motors — running the loop at enterprise scale. See how we de-risk your own fit with a 90-day pilot, below.
40% member growth, with 67% of sales now through brand-owned D2C channels.
Read the evidence →From 5% to 41% member sales 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 →We’ll be honest about the odds.
McKinsey reports that nearly two-thirds of companies have tried AI agents — but fewer than 10% have scaled them to measurable value, and only ~30% report a dollar ROI (McKinsey). Most “agentic” programs never make it. The numbers above are ours, with the clients, samples and sources named. And if you’d rather not take our word for it — run a 90-day pilot on your own data.
Start a 90-day pilotHere’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 read lifecycle, intent & churn risk.
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 dormant points into a reason to return ›
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 read lifecycle stage, intent, and churn risk, 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. $100B in points sit unredeemed across North America (Bond) — the loop turns that liability into repeat revenue.
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 sales from 5% to 41% 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
DEFACTO cut promotional cost from ~20% to ~7% of revenue with precision targeting. — DEFACTO (SocialHub client)
Your team works on strategy, not setup.
222%
rise in CAC over 8 years
DTC industry data
$10B
ATT’s one-year cost to Meta
Meta investor guidance
$100B
loyalty points unredeemed in North America
Bond (n>28k)
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 — built to be autonomous and governable.
Built to run in North America.
Data residency in US regions.
Mercer Island, WA.
(also GDPR for global markets).