nu3

Evergreen instead of ad-hopping: How to scale Facebook ads long-term

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1 %

more sales

10 %

higher ROAS

optimization cycles

About nu3

nu3 GmbH is a Berlin-based functional nutrition brand founded in 2011, developing innovative products centered on fitness, health, and mindful eating. Their assortment includes protein shakes, superfoods, snacks, and dietary supplements — all built on natural ingredients, science-backed formulas, and sustainable packaging. Alongside the online shop, nu3 offers expert nutrition knowledge, recipes, and personal guidance — combining premium products with real added value for a healthy lifestyle.

Step 1

The Challenge

When we took over Facebook and Instagram ads for nu3 in October 2019, the team faced a central challenge: The campaigns were performing well operationally, but lacked a clear system for optimization and scaling. This became especially evident with evergreen products — campaigns intended to run year-round — where a structured, data-driven optimization cycle proved essential.

Lack of structure in the optimization process

Campaigns were often shut off after fixed periods (sometimes after just a few weeks), regardless of actual performance. There was no clear methodology for deciding — based on data — when adjustments were appropriate, or when the algorithm simply needed more time to learn.

Seasonality as an uncertainty factor

Products like weight-loss shakes performed strongly only at certain times of the year. A system was needed to allow such campaigns to “learn” early and intelligently compensate for seasonal fluctuations.

Lack of systematic testing for creatives & audiences

New creatives and audiences were often tested intuitively — sometimes too early, sometimes too late. Without a clear structure for creative rotation and audience development, it was difficult to see which factors were truly driving success.

Step 2

Our Approach

To sustainably structure nu3’s Facebook Ads account and stabilize performance long-term, we worked with the nu3 team to develop a data-driven framework for the perfect optimization cycle. The goal was to map seasonal influences, learning phases, and creative rotations within a recurring system — with clear rules for analysis, adjustments, and scaling.

Structured optimization cycle

Establish a never-ending campaign duration: Evergreen campaigns run continuously without pausing or resetting.
Define a 4-week cycle as the standard for analysis and optimization.
Weekly evaluation of core KPIs such as ROAS, CTR, CPM, and conversion rate to identify trends.
Assessment in week three, implementation of optimizations starting week four — repeated continuously.
Prerequisite: at least 1,000 clicks and 15 conversions per cycle.

This creates a stable rhythm of Learn → Evaluate → Adjust, replacing short-term reactions.

Creatives, audiences & events

Data-based creative rotation: Strong creatives serve as templates for new variants; weak-performing visuals are consistently removed.
Dynamic audience building: Interest-based audiences are regularly expanded or refined, and lookalike audiences are continuously differentiated by purchase intensity (e.g., one-time buyers → repeat buyers).
Conversion optimization across the funnel: As data increased, optimization progressed step-by-step from upper funnel (product page visits) to lower funnel (add-to-cart, purchases).
Seasonal learnings integrated: Early “pre-learning” of seasonal products ensured strong performance before peak phases began.

We Create Digital Leaders

Step 3

WEVENTURE delivers Results

After just two full optimization cycles, the effects became clear: The newly structured evergreen campaign turned into a stable performance driver in nu3’s Facebook Ads account. Thanks to clearly defined learning phases, consistent creative rotation, and data-driven audience management, short-term fluctuations were reduced and long-term efficiency improved. (Status: June 2020)

Sales

A clearly defined 4-week optimization cycle boosted evergreen campaign sales by 20% after just two cycles.

ROAS

Data-driven creative rotation and precise audience targeting increased return on ad spend by 15% — while ad costs declined.

Learnings

Key Learnings

Data needs time. Facebook ads only reach their full potential when the algorithm can gather enough data. Intervening too early disrupts learning phases and skews results.
Structure beats intuition. A fixed optimization cycle creates transparency and comparability. Managing campaigns based on KPIs instead of gut feeling leads to better decisions and saves budget.
Evergreen doesn’t mean static. Even always-on campaigns require ongoing adjustments — to creatives, audiences, and conversion events. The goal: continuous improvement without restarting.
Seasonal products benefit from early learning. When campaigns run before peak season, they collect enough data to perform strongly right from the start during high-demand periods.
Synergy between creation & data analysis. The biggest leverage comes when creative decisions are based on performance data — not the other way around.