Act on a Customer Before the Report Names One
Kana gives retail teams early churn signals, trade answers in seconds, and one honest number for digital spend, so you act before the report can name the customer.


How Agentic Marketing Works for Retail Teams

See which cohorts are slipping, and which intervention is worth the margin, weeks before the retention report catches on.
Category trends, competitor moves, and promo benchmarks on demand instead of a Monday-morning spreadsheet marathon. Merchants make markdown and allocation calls while they still matter.


See campaign spend, basket size, and customer LTV together, grounded in your own connected data instead of platform-reported conversions. Give the CFO a number that survives scrutiny.
Kana connects to Shopify, Salesforce, Klaviyo, your POS, and your loyalty platform, with no migration and no rip-and-replace.
Turn your loyalty data into an early-warning system
Personalization scores churn risk weeks ahead of the monthly report, and every recommendation goes through your team's approval. Retention becomes a compounding advantage.
Unify every channel without moving a single record
Marketing Intelligence sits on top of your ad, e-commerce, POS, and loyalty data, zero-copy and no migration needed. You get one live view, answered in plain language.
Launch new stores and markets before the data exists
Audience Builder: synthetic audiences give new regions and categories a sound starting point on day one, refined as real signal comes in.
Build Agentic Applications That Support Your Entire Retail Team

Personalization scores every customer's churn risk weeks ahead of the retention report and recommends the intervention worth making. Retention spend stops subsidizing customers who were coming back anyway and starts saving the ones who weren't.

Marketing Intelligence unifies your ad, e-commerce, POS, and loyalty data, so plain-language questions replace hours of reconciling numbers. You walk into the meeting with an answer grounded in your own data.

Category Intelligence tracks competitor moves, category trends, and promo benchmarks, and answers merchant questions in seconds with a cited, dated record. The weekly trade pack builds itself.

Audience Builder lets campaign teams build and activate segments in plain language, without SQL or an engineering queue, with reach estimated across Meta, Google, and TikTok before a dollar goes out.

The Omni-Channel Media Planner models saturation curves against your own campaign history across Meta, YouTube, The Trade Desk, and DV360. With CAC up 60% in five years, budget follows modeled marginal return, not last year's channel mix.
How Our Agentic Solutions Augment Your Team
Tailored capabilities designed to address role-specific challenges and achieve your business goals.
- Churn shows up as a lagging line in the monthly retention report, and by publication, the at-risk customers have already lapsed.
- Win-back defaults to blanket discounts that burn margin on shoppers who would have returned at full price anyway.
- Executives are convinced loyalty is climbing; consumers and the cohort data say otherwise (NIQ).
- The Monday trade meeting runs on a hand-built Excel WSSI, hours of data pulls and version conflicts before a single markdown decision gets made.
- Promo post-mortems land weeks after the event, too late to change the next slot on the promotional calendar.
- Enterprise planning suites are six-figure IT projects, so assortment and allocation analysis stays trapped in spreadsheets.
- Audience requests queue behind data-team SQL while promo windows measured in hours come and go.
- Different segment definitions run on Meta, Google, and email for the same campaign brief, and nobody can prove which one was right.
- Batch pipelines refresh segments in days, which is inadequate for BFCM, back-to-school, and clearance cycles.
- CAC is up 60% in five years, and every reallocation decision runs on platforms that grade their own homework.
- Blended ROAS hides a 2x gap between channel medians, so budget follows habit instead of marginal return.
- The weekly CAC:LTV report is reconciled by hand from a dozen disconnected tools before it reaches anyone who can act on it.
- Roughly 84% of retail sales close in-store, leaving the biggest share of marketing-driven revenue invisible to digital attribution.
- Senior marketers lose hours every week pulling and reconciling numbers from disconnected platforms before any analysis starts.
- The board expects an AI story, and most CMOs know their team's AI ambitions are ahead of what the current stack can actually deliver.
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FAQ
Frequently asked questions and answers about agentic AI, agentic marketing, Kana's agentic AI marketing platform, integrations, and enterprise workflows.
Via API. Kana sits on top of Shopify, Salesforce, Klaviyo, your POS, and your loyalty platform, with zero-copy access and no migration required. Setup typically takes 2–4 weeks, handled by Kana's solutions team.
It reads the CRM, loyalty, and marketing automation data you already have, tracking purchase frequency and spend to flag at-risk cohorts weeks before they lapse. Every recommendation goes through your team's approval.
Most retail teams see value within 30 days: onboarding connects your top 3–5 data sources, configures Personalization and Marketing Intelligence, then layers in Audience Builder once those connections are stable. Kana's solutions team works with you throughout.














