llea.ai for agencies and partners: proving ROI across client stores
Multi-store access, reporting your clients will actually read, and how llea.ai fits alongside Triplewhale and Northbeam.
Agencies are the toughest customer for any analytics tool. You're not running one store; you're juggling 8, 15, 30. You need to spot problems before clients raise them, prove ROI on retainer renewals, and avoid adding another login your team has to remember. This post walks through how llea.ai is structured for agencies and the specific workflows partner teams build on top of it.
One workspace, every client store
Each client store installs llea.ai independently from the Shopify App Store. As the agency, you get linked into their workspace as a partner, with the same role-based access as their internal team, but with an additional agency roster view that rolls up all your clients into a single dashboard.
You don't have to switch logins. You don't have to remember which client uses which credentials. And you don't have to brief the team manually. The roster surfaces what actually changed across the portfolio this week.
Proving ROI to clients
Retainer renewals turn on the question "what did you do for me this quarter?". Vague answers lose accounts. llea.ai's reporting is structured to make the answer specific:
- High-intent audience size: grown, shrunk, or held, and what drove the change
- Attributable revenue from intent-gated campaigns vs the previous baseline
- Discount usage cut and the margin recovered
- Funnel-stage diagnostics: which step you fixed, which is still leaking
Each metric exports as a slide-ready chart or a CSV the client's finance team can reconcile. The point is to let the client connect the dots themselves: "these are the segments my agency built, this is the revenue they moved, this is the line on our P&L it touches."
Pinpointing where the funnel is broken
Every agency knows the moment: a client says "our conversion rate dropped, what happened?". Without intent data, you're guessing: was it the ad creative, the landing page, pricing, the checkout? llea.ai answers that diagnostically.
The shape of the leak tells you what to do:
- Drop between Sessions and PDP: traffic is mis-targeted; review ad audiences and landing-page match.
- Drop between PDP and Add-to-cart: the product page is the problem: pricing, photography, size guide, trust signals.
- Drop between Add-to-cart and Checkout: shipping cost, account-creation friction, payment options.
- Drop between Checkout and Purchase: last-mile issues: slow checkout, payment failures, the urgency moment is missing.
Where llea.ai fits alongside Triplewhale and Northbeam
The most common question from agencies running attribution stacks: "do we still need Triplewhale / Northbeam if we have llea.ai?" Yes. They solve different problems.
| Tool | What it answers |
|---|---|
| Triplewhale / Northbeam | Where revenue came from: channel attribution, blended CAC, marginal ROAS by source |
| llea.ai | Who to talk to next: which shoppers, by name, with what offer, on which channel |
| CEP / messaging tool | How to deliver the message: sends, templates, engagement metrics |
| Shopify Analytics / GA4 | What happened: aggregate sessions, revenue, conversion rate |
A complete agency stack uses all four. Attribution tools tell you where to spend. llea.ai tells you who to act on. They're complementary, not competitive.
Integrating into the CRO workflow
Conversion-rate consultants already have a workflow: traffic audit → heatmaps → hypothesis → A/B test → roll out winning variant. llea.ai slots in at the hypothesis stage by giving you the "why this audience" half of the test brief.
- Run your A/B test only on the high-intent cohort to get statistical significance faster because conversion variance is lower in that segment
- Identify which segments respond differently to the winning variant. Sometimes a "winner" is actually a winner-for-one-cohort and a wash for another
- Build CRO reports that show test outcomes by intent decile, not just aggregate lift
Retention strategy as a service
Agencies running retention engagements typically structure them around 30/60/90-day cohort analysis. llea.ai adds the leading-indicator layer:
- Surface customers about to lapse before they go dormant (intent decay + recency signals)
- Identify the "second purchase moment" in your client's customer base and trigger early-access flows automatically
- Build a winback list weighted by intent, not just recency. Most "we miss you" lists are inefficient because they treat all dormant customers the same
White-label and partner programs
We offer a partner program with revenue share for agencies bringing clients onto llea.ai. White-label of the dashboard is on the roadmap for Q4 2026. Until then, partners typically present llea.ai branded reports to clients and embed the screenshots into their own monthly decks.
The agency summary
The recurring theme: llea.ai gives agencies an actionable layer to work from. Attribution tools tell you the score; llea.ai tells you the next play. The combination is what turns a campaign-execution agency into a strategic partner the client wants to renew.
If you want to walk through the roster view on a sandbox account, book a 30-minute call and we'll set you up.