AURA METRIC.

Precision Growth for High-Ticket E-commerce.

We engineer predictable revenue ecosystems for DTC brands. Scaling brands since 2018 through data-backed acquisition and retention modeling.

Request an Audit Over 500+ campaigns optimized
Data analytics dashboard showing e-commerce growth metrics

Beyond Surface Metrics.

Operating out of our headquarters in Austin, TX, Aura Metric was founded on a singular premise: most marketing agencies optimize for the wrong event. They look at immediate return on ad spend (ROAS) while ignoring the long-term health of the customer base.

Our niche specialization lies in LTV:CAC ratio optimization through predictive cohort analysis. By analyzing historical purchase data, we build models that predict which customer segments will yield the highest lifetime value over a 12, 24, and 36-month horizon. This allows our media buying teams to bid aggressively on high-intent cohorts that competitors ignore.

The result? Our partners see an average 42% decrease in blended CPA within the first 90 days of engagement, while simultaneously increasing average order value (AOV).

42% Avg. Blended CPA Decrease
3.8x Target LTV:CAC Ratio
Aura Metric strategy team analyzing cohort data in Austin office

Growth Ecosystem

Our 3-Phase Deployment

  1. Phase 1: Data Infrastructure Audit - Ensuring attribution models are sound.
  2. Phase 2: Predictive Modeling - Identifying high-LTV cohorts.
  3. Phase 3: Omnichannel Scaling - Deploying budget across Meta, Google, and TikTok.
Performance marketing setup

Paid Acquisition

Algorithmic media buying focused on profit margin, not just vanity metrics.

Retention strategy planning

Retention Engineering

Email and SMS workflows designed to maximize the 90-day repurchase rate.

Common Inquiries

We typically partner with DTC brands generating at least $1M in annual revenue to ensure enough data volume for our models.

Meta, Google/YouTube, TikTok, and Klaviyo form our core ecosystem.

Initiate a Partnership

Submit your details for a complimentary data infrastructure review.