How to Optimize Your Fitness App Development Strategy for Peak Performance

In today's competitive fitness app market, optimizing your ad strategy is crucial to drive engagement and conversions. One effective approach is meal-period targeting, which involves increasing bids and budgets during peak hours when users are most likely to interact with your app.

The general approach is straightforward:

  • Analyze your app's performance on an hourly basis
  • Increase your bids and budgets during these peak hours

By doing so, you'll boost visibility, drive more clicks, and maximize returns. In this guide, we'll explore how to identify your busiest hours, run ads specifically for these peak periods, and avoid costly mistakes.

Identifying Your Peak Meal Periods

To optimize your ad strategy, you need to pinpoint when users are most active and engaged. You can start by analyzing two simple metrics:

  • Orders per hour
  • Revenue per hour

These metrics will often show a similar trend, but identifying where they differ can reveal valuable insights.

For instance, if you notice higher average order values on weekends with the same number of orders, you've just identified an opportunity to optimize your ad strategy.

Most likely, you already have an idea of when your peak hours are – breakfast, lunch, or dinner. However, understanding real-time results by the hour will give you confidence in your optimization strategy and lead to better results.

Finding Restaurant Performance by the Hour

To customize targeting on each platform, you want to approach finding your hourly performance data for each aggregator.

Talabat

Talabat provides an easy-to-understand sales-by-hour report. Navigate to the "performance" tab and find the revenue-by-hour report. Note that you can't see orders unfortunately.

Deliveroo

On Deliveroo, it's more challenging to get the data you need to understand performance by the hour. Go to the "Orders report", choose a weekly time period, and download the report. Here, you'll have to manually process the data to find your orders per hour.

Noon

On Noon, data is limited, and you can't easily see hourly performance. However, they do provide a useful chart that shows meal periods as an average.

Getting Meal Period Data the Easy Way

There are options that combine all your delivery data into a single platform, making it easier to understand your performance.

Revly

Delivery operators using Revly can access hourly performance data for both orders and revenue in a single easy-to-understand format. This shows you exact performance by the hour for every day of the week on Deliveroo.

Strategic Ad Optimization for Peak Periods

Now, let's optimize our ads for meal-period targeting!

Peak hours targeting is a simple yet powerful strategy that can be hard to execute. The general approach involves:

  • Increasing CPC bids and budget during peak meal times to capture more customers when they're most likely to order from your menu.

Note: Some people often get this backwards, thinking bids should be increased outside peak hours to increase orders when there are fewer people ordering. This almost always results in wasted budget and lower performance.

If your goal is to increase orders from non-peak hours, using hourly targeted discounts is usually the way to go.

Implementing Peak Hour Targeting

Now that we know the strategy, let's see how to implement it on delivery platforms!

Talabat

In the campaign setup in the Talabat advertising panel, you'll see there's no obvious way to set up CPC ads to run at particular times of the day. This means the process is 100% manual and requires turning campaigns on and off during peak meal periods.

Talabat with Revly

Revly solves this common limitation by enabling bid adjustments per hour. When creating a CPC campaign in Revly on Talabat, you have more control over the campaign and how it spends your budget:

  • Increase bids for just certain days of the week
  • Or increase bids during pre-defined meal periods

When adjusting bidding, you can optimize your ad spend to target peak hours and maximize returns.

By optimizing your fitness app development strategy with meal-period targeting, you'll drive engagement, conversions, and revenue. Remember to identify your busiest hours, run ads specifically for these peak periods, and avoid costly mistakes.