A personalization layer that turns one editorial brief into the version of each campaign that fits each member. Newsletters, offers, and announcements get tailored content, tailored channel, and tailored timing — driven by individual profile, history, and preference. Your editorial team writes once; every member gets the version most likely to land with them.

The engine assembles, it does not invent. Editors approve every campaign and own the brand voice; the system handles segmentation, ordering, channel choice, and performance feedback. Members see fewer irrelevant announcements, departments get better turnout for the programs they care about, and leadership gets a clear view of what communication is actually driving action.

Industry
Specialty Outdoor Retail
Scale
Premium loyalty base · 280K active customers
Timeline
9-week build
Channels
Email SMS Push In-app
Technologies
Personalization Engine · Audience Segmentation · Channel Preference Learning · Editorial Workflow

Capabilities

What It Delivers

  1. Editor-approved per-member assembly

    Per-member content selection from a single editorial brief, editor-approved before send.

  2. Channel preference learning

    Channel preference learning across email, SMS, push, and in-app.

  3. Segment-aware composition

    Audience-specific assembly: ordering, emphasis, and length tuned per segment.

  4. Hands-off segmentation

    Automatic segmentation — no manual list-building or query writing.

  5. Editorial feedback loop

    Performance feedback loop: editorial sees what landed, by segment and by version.

From Our Work

Open rates doubled, revenue per send tripled.

Two campaign cycles. 280,000 tailored versions.

The retailer had a 280K-strong loyalty base and was sending one monthly newsletter to all of it. Open rates were sliding, and the marketing team had segments on paper but no operational way to act on them. We delivered a personalization engine that ingests purchase history, browsing behavior, and seasonal patterns, then composes the version of each campaign that fits each customer. Editors set the editorial brief and the brand rails; the system assembled 280K tailored versions and routed each through the channel the customer actually opens. Open rates more than doubled and revenue per send tripled inside the first two cycles.

39%

Email open rate

From 18%

7.4%

Click-through rate

From 2.1%

$0.94

Revenue per send

From $0.31

0.3%

Unsubscribe rate

From 0.9%

<1d

Time to launch a campaign

From 6 days

Key Insight

One newsletter to everyone is the lowest-cost way to teach people to ignore the inbox. Personalized at scale is no longer a campaign budget question; it is an architecture question.