Turn browsers into buyers with live intent data.

High-intent DTC audiences built from real shopping behavior refreshed every 24 hours so you're reaching active shoppers, not last season's buyers.
The DTC Meta Problem

Most DTC brands burn thousands before Meta's AI starts working

Meta's Advantage+ needs conversion data to optimize. Until it gets ~50 conversions per week, your budget is in "learning phase" and every dollar spent during that phase is an expensive experiment.
The math without audience signal

$2,450/week to exit learning per ad set

Running 3 ad sets? That's $7,500/week just to exit learning. At $10K-$50K/month total budget, most DTC brands can't afford that runway — and if creative doesn't land, you start over.

This is why big brands outperform: they can absorb $30-50K in learning phase spend. You can't.

With Slopeside as an Advantage+ suggestion

More early conversions = faster learning = less waste

When Advantage+ starts with an audience of people already shopping for products in your category, more of those early impressions reach people likely to convert. That means you hit 50 conversion events faster — but more importantly, those conversions teach Meta's AI who your real buyers are. The algorithm doesn't just learn faster. It learns better — and every dollar spent after learning phase is more efficiently targeted.

Think of it this way:Slopeside doesn't change how Meta's AI works. It changes where it starts looking — so your budget works harder from the first impression.

What changes when you add behavioral shopping data

Your Stack

Basic interest targeting with no real shopping intent signal
Broad lookalike audiences built from stale customer lists
Demographic filters — age, location, gender — and deprecated interests
Weak or insufficient first-party data to train the algorithm
Burning budget during learning phase with no audience starting signal

Slopeside Stack

Audiences of shoppers actively researching products in your category
Refreshed every 24 hours with currently active buyers, not last month's
Category-specific behavioral data from real shopping and research behavior
Enough signal to help Meta exit learning phase faster on your budget
Works on any platform — no Shopify Plus required
how it works

Add Slopeside audiences to your existing Advantage+ workflow

Your creative strategy stays the same — Slopeside doesn't change what you're running, it changes who sees it first. No new tools to learn. No changes to your campaign structure. Slopeside works within the Advantage+ setup you're already using.
What this means for your pipeline

Turn targeting guesswork into predictable growth

Stop hoping Meta's AI figures out your audience through trial and error. Give it the right starting signal and let your budget work from day one.

Target shoppers with purchase intent

Slopeside doesn't guess who might be interested based on demographics or platform behavior. It identifies people who are actively researching products in your category right now — reading reviews, comparing prices, browsing competitor sites. You reach them during the buying window, not after it's closed.

Live intent updates daily

Shopping trends move fast. The people researching supplements or skincare today won't be the same ones next week. Slopeside audiences refresh every 24 hours, so your targeting always reflects who's actively shopping — not who was shopping when you last uploaded a customer list.

Better ROAS, lower CAC

When Advantage+ starts from an audience of active shoppers instead of broad demographics, more early impressions reach people ready to buy. Those higher-quality first conversions calibrate Meta's optimization around real buyer profiles — so when the algorithm expands broadly, it expands toward people who look like your best customers, not toward whoever happened to click first.

Target buyers, not bystanders

Most DTC targeting relies on interest categories and demographics. Someone "interested in fitness" might buy workout gear or they might just follow gym influencers. Interest doesn't mean intent.

Slopeside tracks actual shopping behavior — product comparisons, price research, review reading, competitor browsing — across billions of retail and product URLs. When a shopper starts actively researching products in your category, they appear in your Slopeside audience within 24 hours. You reach them while they're in buying mode, not after they've already purchased from someone else.

280 Million

shopper profiles tracked daily

24 hours

audience refresh cycle

60+

DTC audience segments
Pricing

Less than you're spending on the learning phase

Compare the cost of Slopeside to what you're already paying, or burning, to get Meta's AI to perform.
Learning Phase Tax

$2,500+

per week, per ad set

At a $50 CPA, this is the minimum spend to exit learning with no audience signal. Most mid-market brands burn this repeatedly across multiple ad sets.

Other DTC audience tools

$1K+

per month + percentage of ad spend

Transaction-based audiences built from past purchase data. Typically require Shopify integration and weekly refresh cycles. At $25K/month spend, total cost can exceed $3,500/month.

Start for $1
Slopeside

$500

per month, per audience

Real-time shopping behavior audiences, refreshed every 24 hours. Works on any ecommerce platform. No percentage of ad spend. No long-term contracts.

See it for yourself

Run a head-to-head test in your own account

Don't take our word for it. Start a $1 trial, add a Slopeside audience as an Advantage+ suggestion alongside your current targeting, and compare results after 7–14 days. Same creative. Same budget. Let the data decide.
Ad Set A (Control)

Your winning ad set and Advantage+ broad targeting, no audience suggestions and at least a $100 per day budget

Ad Set B (Slopeside)

Advantage+ broad targeting
with Slopeside audience added as a suggestion. Same creative, same budget.

FAQ

Start your trial for $1

14 days. Full access to 60+ DTC audiences. Test against your current targeting and let the results speak.
try it now