NEO — Attention Recovery at Scale – 2
NeoBoost for Preventing Drift
NeoBoost is an attention layer that embeds into existing email programmes from any platform. It does not require migration. It does not require replacing the current ESP. It simply adds the attention mechanics of the APUs — the micro-rewards, the interactive elements, the habit-formation triggers — on top of whatever email infrastructure already exists.
This matters because platform switching is expensive and risky. Many organisations are locked into multi-year contracts, deeply integrated with existing systems, or simply unwilling to undertake the disruption of migration. NeoBoost offers the attention benefits without the switching costs.
The mechanism is straightforward: embed APU-earning interactions into existing email templates. Turn passive consumption into active engagement. Give customers a reason to interact rather than just read. The existing platform handles delivery and tracking. NeoBoost handles the attention economics.
NeoNet for the Already Lapsed
Test customers present a harder problem. They have stopped engaging with the brand’s owned channels. Emails go unopened. Push notifications are ignored. The brand has lost access.
The traditional solution is programmatic advertising: pay Google or Meta to reach these customers through ad inventory across the web. This works, but it is expensive. Programmatic CPMs are high. Targeting is probabilistic. The brand pays acquisition-level costs for customers it already “owns” in a database sense but cannot reach in a practical sense.
NeoNet offers an alternative: a cooperative identity network that allows brands to reach lapsed customers through other brands’ authenticated channels.
The logic is simple. The customer who stopped opening Brand A’s emails still opens Brand B’s. They are not disengaged from email. They are disengaged from Brand A. If Brand A could reach them through Brand B’s channel — with appropriate consent and compensation — the reacquisition problem becomes a coordination problem rather than an advertising problem.
NeoNet enables this coordination. Brands contribute authenticated reach to a shared network. They can access other brands’ engaged audiences for customers they have lost. The targeting is deterministic — based on actual identity, not probabilistic matching. The cost is a fraction of programmatic rates. The customer experience is better because the message arrives through a channel they already trust.
This is “Never Pay Twice” made operational. Why pay Meta fifteen dollars CPM to probabilistically reach someone in your database when you could reach them deterministically through NeoNet for a dollar fifty?
The shared substrate
Meridian and NEO run on the same Context Graph infrastructure. The difference is resolution.
Meridian uses the full individual trajectory — every signal, every decision trace, every nuance of a single customer’s evolving relationship. This depth is justified for Best customers whose value warrants the investment.
NEO uses cohort-level patterns — what works for customers who look like this, behave like this, and are at this stage of disengagement. This breadth is appropriate for Rest and Test customers whose individual value does not yet justify deep intelligence but whose aggregate value is enormous.
Same infrastructure. Different application. Matched to economic reality.
Together, Meridian and NEO form a complete retention architecture. Deep intelligence for those who have earned it through demonstrated value. Scalable recovery for those who have not — yet.
But even intelligence plus execution does not guarantee outcomes. Economics do.
