This formula confuses people but it’s really quite simple

Key Concepts

• Learning Phase: The initial period when Facebook and TikTok algorithms are testing ad performance and haven’t yet optimized for conversions.
• CPA (Cost Per Action): The cost incurred for each desired action (e.g., sale, lead generation).
• Adset: A specific grouping within a Facebook or TikTok advertising campaign, defining targeting and budget.
• Conversion: A completed desired action resulting from an ad click (e.g., purchase, form submission).
• Multiplier (7.14): A factor used to calculate the minimum daily ad spend based on CPA, aiming to achieve 50 conversions per week.

Determining Minimum Daily Ad Spend on Facebook & TikTok

The core issue addressed is the optimal minimum daily budget for adsets on Facebook and TikTok to efficiently exit the algorithm’s “learning phase” and achieve effective ad optimization. The speaker frequently consults with clients facing this challenge and presents a data-driven approach to resolving it.

The Importance of Exiting the Learning Phase

The speaker emphasizes that reaching a minimum of 50 conversions per week is crucial for exiting the learning phase on both platforms. This phase is characterized by algorithmic testing, and escaping it allows the algorithms to more effectively optimize ad delivery and improve performance. While acknowledging that successful ads can emerge directly from the learning phase, consistent and predictable results are more reliably achieved after exiting it.

The CPA x 7.14 Formula

The primary methodology presented is a formula: CPA x 7.14 = Minimum Daily Ad Spend.

• CPA (Cost Per Action) is defined as the cost associated with achieving a specific desired outcome, such as a sale. This is a key metric for understanding ad efficiency.

• The multiplier of 7.14 is derived from the goal of achieving 50 conversions per week. The speaker demonstrates this with an example:

  • If CPA = $20 (cost per shoe sale)
  • $20 x 7.14 = $142.80 (approximately $143) daily spend.
  • To verify, 50 conversions x $20 CPA = $1,000 weekly spend. $1,000 / 7 days = $142.86 (approximately $143) daily spend.

This formula is presented as universally applicable; plugging in any CPA value will yield the corresponding minimum daily spend required to reach the 50 conversions/week target.

Handling Unknown CPA – Initial Budgeting Strategies

The speaker addresses the scenario where a new product or campaign lacks historical CPA data. In these cases, a range of $50 to $200 daily spend is recommended as a starting point. This range is contingent on the product’s price point and the campaign objective.

• High-Ticket Items: Products with a higher expected CPA necessitate larger budgets to achieve the 50-conversion threshold.
• Lead Generation Campaigns: Simpler campaigns focused on lead capture (e.g., email sign-ups) often have lower CPAs (potentially around $1) and can therefore operate effectively with smaller adset budgets (e.g., $20-$50 daily).

Logical Flow and Interconnections

The video progresses logically from identifying the problem (determining minimum ad spend) to presenting a solution (the CPA x 7.14 formula). The discussion then expands to address a common challenge – unknown CPA – and provides tailored recommendations. The example using shoe sales effectively illustrates the formula’s application and reinforces its practicality.

Notable Quote

“The rule of thumb on both Facebook and Tik Tok is you want to hit a minimum of 50 conversions per week to get out of that learning phase.” – The speaker, emphasizing the importance of conversion volume for algorithmic optimization.

Data & Statistics

• 50 conversions per week: The target conversion volume for exiting the learning phase.
• 7.14: The multiplier used in the formula to calculate minimum daily spend.

Conclusion

The video provides a practical, formula-based approach to determining the minimum daily ad spend for Facebook and TikTok adsets. By focusing on achieving 50 conversions per week and utilizing the CPA x 7.14 formula, advertisers can accelerate the learning phase and optimize their campaigns for improved performance. The guidance on initial budgeting for new products or campaigns adds further value, offering a flexible strategy for diverse advertising scenarios.