Back to all blog posts

Browsi 101 guide for lazy loading ads

By Asaf Shamly | January 28, 2021

Why even bother with lazy loading ads

Lazy loading content is basically a way to withhold loading elements to the page until users arrive closer to the area where the element needs to be inserted.

There are two main reasons why publishers consider utilizing a long-standing technology such as lazy loading elements into the page: first is to reduce page load time and second is to increase ad viewability.

The direct effect of lazy loading is faster page load time, as less content needs to be loaded when the user first gets to the page. The viewability improvement is a side effect of both a page that loads faster and ads that render only when users are close enough to the ad to be seen.

Lazy load approaches

The most common lazy loading practice used by publishers is simply defining a specific distance, by pixel, from a given ad location. Only when the user reaches that distance is an ad request sent to the ad server to start the process of ad rendering.

  1. More advanced approaches include consideration of scroll behavior. For instance:
    When a user scrolls up the content, withhold sending ad requests altogether.
  2. Track user scroll velocity (by pixels) for when users scroll too fast

There are many options to optimize the lazy load mechanism, and each requires a lot of trial and error to get to an optimal result.

While these more complicated approaches add value, they do not take into account the critical ever-changing elements that impact the primary objective of lazy loading, which is to increase viewability without losing scale.

Elements such as internet speed, device type, unique page composition and various user behavior metrics can significantly improve the success of lazy loading when incorporated into the decision making around rendering an ad, and when precisely to start.

Key Considerations

While there is no denial that page speed will benefit from lazy loading your ads when it comes to increasing viewability, there are some downsides that need to be taken into consideration:

1) Reduced Scale: Switching to use lazy loading for rendering ads reduces impression scale. If done incorrectly, lazy loading has the potential to risk the sustainability of the publication.

2) Damaged Viewability: Though lazy load is typically deployed to increase viewability, it can have the opposite effect. When enabling lazy load on the higher section of a page, a pain point emerges where users scroll quickly through the lazy loaded placement, pushing that placement completely out of view. Lazy load must be defined per placement and more importantly per article.

3) Damaged UX: Miscalculations around where and when to start rendering an ad may cause a user to see an ad opening right in front of the user, making for poor user experience.

The right way to increase viewability, with or without lazy loading

The right way to lazy load is to create a model per impression and placement – rather than fixed-placement rules that squeeze publishers out of scale and viewability. For example: use real-time data to decide when, how and where to lazy load based on a combination of device, connection, page attributes and past/current user behavior.

The other question to ask is: “Why lazy load and risk scale at all?” The answer is a question: “What if you could know dynamically, in real time, the specific ad placements you need to lazy load – and conversely, which ones not to lazy load?”

Meet Browsi

Browsi automatically optimizes the entire value chain of ad viewability and scale for publishers. Working with tier 1 publishers our platform increases ad viewability by 20-70%, adds 10-30% more scale and decrease optimization costs by thousands of dollars.

Our engine is a powerful upgrade from fixed placement rules that consider only a fraction of the elements affecting viewability and scale at the page level, built upon deep learning that optimizes at the page level in real time across an unlimited scale.

A same-day, tag-based implementation enables rapid testing, and with an agile product suite that evolves as a publisher’s priorities change between scale and viewability, Browsi offers strategic levers that enhance the core engine without additional fees, and with extensive strategic support.

Latest Articles

  • Why Bad News Gets Clicks (But Doesn’t Always Pay)

    We’re naturally drawn to bad news but when it comes to ad dollars, it’s not always so straightforward. Read this article to explore why bad news gets clicks but doesn’t always pay and what really impacts engagement and ad revenue.

    View Now
  • Why Perplexity AI’s Approach Might Be Its Downfall in the Battle with News Corp

    News Corp is accusing Perplexity of using its articles to fuel search results without permission in a move that crosses copyright red lines. In other words, News Corp is saying Perplexity is taking advantage of news content without contributing anything back. This type of accusation isn’t the first and probably not the last in the gray area of AI.

    View Now
  • The Open Internet and Direct Deals are Making a Quiet Comeback

    Since 2021, open programmatic ad spending has barely grown by 3% while the walled gardens - think Google and Amazon - have surged ahead with 10% growth. This gap raises questions about the future of the open internet. But, against this data, there are signs this landscape may become more balanced.

    View Now