Dynamic Pacing Algorithms

Why work with Dynamic Pacing Algorithms?

Considerable investments are made in social media and display advertising where our solution delivers a 10% - 30% performance increase. As a result, any advertiser spending more than EUR 10.000 per month will have a positive net result. Since many advertisers are seeing decreasing digital performance our solution should be seen as a critical improvement opportunity.

Watch our 1 min. explainer to understand how and why!

… for Social and programmatic Media

Step 1: It all starts with the data. Give Predictify read-access to your SoMe manager.

Step 2: Conduct an A/B-test and evaluate the performance with Predictify.

Step 3: Implement your very own automised ad-tech algorithm.

Getting started with Dynamic Pacing Algorithms

How are Dynamic Pacing Algorithms working?

Algorithms are best when the market volumes are fluctuating and when volumes are substantial enough to capture significant data signals. We see the best results of algorithms when one or more of the following conditions are met:

  • Weekday performance

  • Time of day

  • Reduce nighttime

  • Day in month

  • High vs. low season

Everything is impacted by weather; therefore Predictify adjust campaign pacing based on meteorological hourly forecasts.

  • Sunshine

  • Temperature

  • Rain

The Future of Digital 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.

The 4 most important benefits from adding algorithms to your digital paid media

Marginal Return on ROAS

Algorithms secure that budgets are allocated based on a marginal return dynamics.

1

Optimising future ROAS

Digital investments are aimed at future opportunities based on actual market dynamics.

2

Time monitoring is reduced

Adjusting budgets is a trivial and time consuming task which is automated with algorithms.

3

Understanding dynamics

The algorithms dynamics are easily displayed and shared with other digital specialists.

4

How are Dynamic Pacing Algorithms applied to clients’ campaigns?

Predictify recommend the following steps to ensure a successful implementation to the SoMe and programmatic platforms:

Access management: Provide access to your META Ads Manager account.

Set-up test: Set-up an testing approach to compare the regular Meta preformance with the Predictify algorithm. This allow you to stay updated on performance.

Allocate budgets: After a successful test, the full budget is allocated to the campaign with the algorithm, which will automatically improve future Meta investments.

Monthly automation: A monthly budget is optimized automatically. This automation procedure reduces client time spent monitoring campaigns.

… and typically questions about Dynamic pacing Algorithms

Does our set-up impact META’s algorithms?

The algorithm builds on top of Meta/Facebook's own algorithms, ensuring even higher performance from Meta/Facebook campaigns.

How much can Predictify improve performance?

By identifying the best periods the algorithm allocates more impressions to periods with high returns and low CPM costs, resulting in a 15%-30% performance improvement.

How much time do Predictify need from us? 

Once the algorithms are set up, it does most of the work by itself, the algorithms continuously adapt and learn. So, you can spend more time on other important things.

In a nutshell, by using Predictify's algorithms to optimize Meta investments, you can save money, get more customers, and remove trivial work. This means you can allocate your time to more value-generating tasks.

User case:
HOW Fitness X WORK WITH digial algorithms

CHALLENGE

Fitness X are attracting many of their leads from META, which saw a decline in effectiveness. Consequently there was a drop in acquititions and cost per acquisition increased.

Fitness X wanted to test opportunities to restore effectiveness.

SOLUTION

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.

IMPLEMENTATION

An A/B test was set-up with two identical campaigns. Campaign A was runnung with “daily budget” and B campaign with an algorithmic budget-setting.

Both campaigns were having the same monthly budget.

RESULTS

Short-term: The algorithmic campaign was named “the winner” in the A/B test.

Long-term: Campaign performance in META is increased with more than 20%.

Other case results ON Dynamic Pacing Algorithms

Retail business

During Spring 2024 we applied algorithms to drive visitation to the retailers weekly offers. This was improved with 38%.

Finance business

In our second round with Dynamic Pacing Algorithms we managed to increase sales with 52% and marginally reduce cost per sale.

Subscription business

Since January 2023 we have improved sign-ups with an acquisition cost 28% lower and increased acquisitions with 3%.

Hotel business

Our client started working with digital pacing during Summer 2024 and experienced a 30% higher ROAS.

Our team on Algorithms

  • Dan Storm

    Experince: I’ve worked with algorithms since joining Predictify.

    My Role: I manage performance data and build rules that max. ROAS. I also monitor performance.

  • Mads Vibe Ringsted

    Experience: I’ve worked with algorithms since joining Predictify.

    My role: I develop wothflows and automated ROAS predictions. And I also work with Dan on building models.

  • Mads Flemming Aunfelt

    Experince: 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.