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Product Recommendations

The right product, in front of the right customer.

Twelve-plus recommendation strategies, including collaborative filtering, placed across storefront, email and post-purchase.

MERCHANT DASHBOARD · PRODUCT RECOMMENDATIONS
Product Recommendations screenshot to come
The problem

Your bestseller list is not a strategy.

Showing everyone the same "popular products" row leaves the real money - the right product for this customer, right now - sitting in your catalogue.

One-size-fits-nobody merchandising
A returning VIP and a first-time visitor see identical shelves. Both convert worse than they should.
The long tail never surfaces
Products outside the top ten barely get seen, no matter how well they'd fit a given basket.
Recs set once, never tuned
Whatever the app default was on install day is probably still what's running.
The mechanism

How she does it

01
12+ strategies
Bestsellers, complements, recently viewed, collaborative filtering and more.
02
Self-tuning
Strategies weighted by what actually converts on your store.
03
Everywhere placement
Storefront, cart, email and thank-you pages, consistently.
Works with
ShopifyWooCommerceEmail
Everything included

What her recommendation engine actually runs:

12+ strategies, not one
Bestsellers, complements, recently viewed, collaborative filtering, new-in, back-in-stock and more - deployed where each works best.
Self-tuning weights
Strategies are weighted by what actually converts on your store, and re-weighted as behaviour changes.
Placement everywhere it pays
Storefront, cart, email, post-purchase and thank-you pages - consistent, coordinated, measured.
Segment-aware shelves
The RFM segments from Sales Intelligence drive who sees what.
Readable reporting
Which strategy sold what, in plain numbers, inside your account.

And the risk sits with us, not you: every skill is on the one subscription, you can toggle it off any time, and if you ever leave you keep the account, the data and every automation she built. No lock-in, in writing.

The engine room

Openly powered by HighLevel - the AI-powered business operating system.

No black box. Aiva runs on HighLevel: the CRM, funnels, calendars, workflows and two-way conversations (SMS, email, WhatsApp, Messenger, Instagram DM) that capture, nurture and close leads into bookings, sales, reviews and repeat customers. Every pipeline and automation she uses is visible in your account - and the account is yours.

7.3B+
LEADS GENERATED
179M+
APPOINTMENTS BOOKED
$5.2B+
SALES FACILITATED IN 2025
HIGHLEVEL’S PUBLISHED PLATFORM FIGURES · SOURCE: GOHIGHLEVEL.COM
Aiva - the brain
Answers, qualifies and books across every channel, 24/7.
HL
HighLevel - the operating system
CRM, pipelines, calendars, funnels, sites, workflows - capture, nurture, close.
S
Shopify / WooCommerce - the store
Orders, products and customers, live in every conversation Aiva has.
ONE WORKFLOW: LEAD → AIVA → HIGHLEVEL PIPELINE → BOOKED APPOINTMENT
See how we use HighLevel →

Fair questions about product recommendations.

What exactly does Product Recommendations cover?
12+ strategies, including collaborative filtering. In practice that means: 12+ strategies, self-tuning, everywhere placement.
Where does she do this?
This skill works with Shopify, WooCommerce, Email - and everything lands in the same HighLevel conversation and pipeline you can see.
Is this an add-on?
No. Every skill is included on the one subscription - toggle it on and off like a light switch. No per-seat pricing, no feature gates.
What happens when it needs a human?
Anything Aiva can’t resolve is escalated to you with the full conversation history attached. She qualifies and books - she does not give regulated advice.

From the workshop.

ALL POSTS →

Turn on product recommendations this week.

12+ strategies, including collaborative filtering. Start with this skill, add the other eleven whenever you like.

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