How Does Adverank Come Up with Budget Recommendations?
One of the biggest differences between Adverank and more traditional campaign management models is how budget recommendations are handled.
Rather than treating ad spend as a fixed monthly number that rarely changes, Adverank is built around the idea that budgets should respond to real performance, search demand, facility goals and operational conditions.
How Budget Recommendations Work
Adverank generates budget recommendations on an ongoing basis through our powerful AI platform. These recommendations are surfaced daily and delivered by email so your team can review them in real time.
Each recommendation can be:
- accepted
- rejected
- modified
Once approved, our team reviews and applies the update quickly, typically within hours.
What Budget Recommendations Are Based On
Adverank recommendations are informed by multiple signals, including:
- past move-ins in relation to ad spend
- current occupancy levels
- advertising performance metrics
- occupancy goals for each facility
- facility strategy settings selected within the platform
- AI machine learning with predicitive occupancy (AI Mode Only)
- Some special sauce (made from bananas)
The purpose is to help operators make more informed decisions about when to invest more, when to hold, and when to pull back.
Why Adverank Uses a Dynamic Budgeting Approach
Self-storage demand does not stay flat, and marketing budgets should not always stay flat either.
A dynamic budgeting model allows operators to respond to real conditions instead of relying on the same number month after month out of habit. When a location needs more demand and the return supports it, increasing budget may be the right move. When conditions change, the recommendation can change too.
What Happens If a Recommendation Feels Too Aggressive
Some customers are surprised when Adverank recommends a higher level of spend than they originally planned. That usually happens because the system is identifying an opportunity to capture more qualified demand.
If a recommendation feels too aggressive, you are not forced to accept it as-is. You can modify the recommendation before approval, or reject it entirely.
Many operators also use Adverank’s ROAS tools to help explain why a higher spend level may still make business sense if the expected return is strong.
Budget Recommendations Are Meant to Support Decision-Making
The purpose of the system is not to increase spend for the sake of it. The purpose is to help operators make smarter spending decisions based on performance, demand, and occupancy goals.