Dynamic Pacing Algorithms
Optimise your paid social and display performance by 15-40%
Automated pacing that adapts budgets to real-world demand signals: seasonality, time of day, events and weather.
Flexible setup
No long-term commitment – stay because it performs
Cost-effective
Most effective when media spend exceeds EUR 5,000/month (≈ DKK 450,000/year)
Check out how Vero Moda and Aarstiderne have benefited from Dynamic Pacing Algorithms
Getting started with Dynamic Pacing Algorithms
Start with the data
Grant Predictify read-only access to your paid social manager or display advertising account.
Free pre-study & business case
Predictify conducts a free pre-study of your historic performance and outlines a business case to confirm the algorithms will deliver value for your goals and budget. After this, you can decide whether you'd like to move forward.
Implementation & optimisation
We implement your tailored, automated Dynamic Pacing Algorithm, so you can improve performance – with less manual work.
Ready to boost your performance?
Find out whether our algorithms will add value to your business
Why work with Dynamic Pacing Algorithms?
Considerable investments are made in social media and display advertising where our solution delivers a 15% - 40% performance increase.
For advertisers spending EUR 5,000+ per month, the model is typically net positive. Since many advertisers are seeing decreasing digital performance, our solution should be seen as a critical improvement opportunity.
The 4 most important benefits from adding
algorithms to your digital paid media:
Optimising future ROAS
Digital investments are aimed at future opportunities based on actual market dynamics.
Marginal Return on ROAS
Algorithms secure that budgets are allocated based on marginal return dynamics.
Understanding dynamics
The algorithm's dynamics are easily displayed and shared with other digital specialists.
Less time spent on monitoring
Adjusting budgets is a trivial and time-consuming task which is automated with algorithms.
How does Dynamic Pacing Algorithms work?
Algorithms work best when the market volumes are fluctuating and when volumes are substantial enough to capture significant data signals. We see the best results when one or more of the following conditions are met:
Performance Factors
- Weekday performance
- Time of day
- Reduced spend overnight
- Day in month
- High vs. low season
- Events
- Marketing campaigns
Weather Factors
- Temperature
- Sunshine
- Rain
- Snow
The Future of Dynamic Pacing Algorithms
As cost and availability of technology continues to advance, the tipping point towards having company lead automated insights gets lower. The integration of artificial intelligence, predictive analytics, and big data will further refine models, providing businesses with even more accurate management of ROAS.
Typical questions about Dynamic Pacing Algorithms
In a nutshell: By using Predictify's algorithms to optimise paid social or display, you can save money, get more customers, and remove trivial work. This means you can allocate your time to more value-generating tasks.
20%+ Performance Lift on Meta
How Fitness X works with Dynamic Pacing Algorithms
Decline in Meta effectiveness
Fitness X attracts many of their leads from Meta, which saw a decline in effectiveness. Consequently, there was a drop in acquisitions and cost per acquisition increased. Fitness X wanted to test opportunities to restore effectiveness.
Algorithmic pilot project
Fitness X engaged with Predictify in an algorithmic pilot project to test the effectiveness of algorithms on META. Business requirements were 1) allocate budget to best performing days and hours, 2) secure that 'cost per result' in Meta Business Manager was reduced.
A/B test setup
An A/B test was set up with two identical campaigns. Campaign A was running with 'daily budget' and campaign B with an algorithmic budget-setting. Both campaigns had the same monthly budget.
20%+ performance lift
Short-term: The algorithmic campaign was named 'the winner' in the A/B test. Long-term: Campaign performance in Meta increased by more than 20%.
Other case results on Dynamic Pacing Algorithms
Subscription business
28% lower acquisition cost
Since January 2023 we have improved sign-ups with an acquisition cost 28% lower and increased acquisitions by 3%.
Retail business
38% improved visitation
During Spring 2024 we applied algorithms to drive visitation to the retailers' weekly offers. This was improved with 38%.
Finance business
52% sales increase
In our second round with Dynamic Pacing Algorithms, we managed to increase sales by 52% and marginally reduce costs per sale.
Hotel business
30% higher ROAS
Our client started working with digital pacing during Summer 2024 and experienced a 30% higher ROAS.
Our team on Dynamic Pacing Algorithms
Mads Flemming Aunfelt
Senior Data Scientist & Partner
Experience: I have worked with algorithms for the past decade.
My role: My key contribution is to drive development and increased performance of the algorithmic solution.
Mads Vibe Ringsted
Associate Data Scientist & Software Developer
Experience: I've worked with algorithms since joining Predictify.
My role: I develop workflows and automated ROAS predictions. And I also work with Dan on building models.
Tommi Grønkjær Christiansen
Technical Director & Partner
Experience: I have worked with algorithms since we started Predictify.
My role: My role is to help tailor the right setup for you and identify opportunities throughout the collaboration.
Let's Start a Conversation
Have a question or want to discuss how we can help your business? We'd love to hear from you.