TELETIES was growing fast in retail, and the mandate for paid was to build DTC in step with that expansion. Most of their Meta campaigns had historically optimized to Max Conversions, chasing raw order volume. Adquadrant ran a clean head-to-head — Value Optimization against Max Conversions on comparable budgets, creative and audiences — to test whether bidding toward value would pull in higher-value buyers without giving up efficiency. Value Optimization won on every measure that touches margin, and it is now the core bidding strategy across evergreen and launch campaigns.

Industry

Fashion Accessories / DTC

Key Services

  • Meta Ads
  • Value-Based Bidding
  • Incrementality Testing

Results

6.95x

return on ad spend in a matched head-to-head

  • $7.32 cost per acquisition at a 16% purchase rate
  • $51 average order value — higher-value buyers, not just more of them
  • Now the core bidding strategy across evergreen and launch
TELETIES

Impact

Because budgets, creative and audiences were held constant on both sides, the read is clean: the bidding objective alone moved order value. That is the difference between a result worth repeating and a result worth explaining, and it is why Value Optimization became the default rather than a test that went well.

TELETIES

's Results

6.95x

Return on ad spend, in a matched head-to-head

$7.32

Cost per acquisition at a 16% purchase rate

$51

Average order value — higher-value buyers, not just more

The adQ team performs great. We hit all of our revenue goals and maintained top‑line ROAS!

icon

From the start, Adquadrant blew us away with their creative. They encourage us to go out of the box with different avenues and different creatives, to think more strategically about the ads we’re putting out. And they also took control of media buying, telling us, “You can leave this channel alone, SEO is good” or “We can ramp up this” and "You should spend more but you'll make more." They helped us make big decisions.

TELETIES moved to Value Optimization and held a 6.95x return at a $7.32 cost per purchase.

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