The Rise & Fall of Short Form vs Long Form Content

This post was most recently updated on March 14th, 2024

As publishers, we’ve witnessed an intriguing oscillation between the dominance of short form and long form content. Initially heralded as the era of brevity, the digital age brought with it a penchant for bite-sized, swiftly consumable content. Social media platforms, with their micro-posts, further fanned this wave. Yet, just when it seemed like short form had firmly established its reign, there was a resurgence in the appreciation for in-depth, comprehensive long form content.

Audience preferences, SEO algorithms, and engagement metrics have all played their roles in this back and forth tug-of-war. Let’s embark on an exploration of the rise and fall of these two content giants, and understand their evolving significance in the eyes of publishers.

6 Things marketers should put in mind

1. Creativity is content = how do they interact with content?
2. Formula for when to use what?
3. What works for the idea?
4. Start with the human need, next is the marketing objective.
5. Get people talking about your brand.
6. Take calculated risks.

3 Main ingredients for successful content

1. Medium: Content Platform
2. Format: Content-Type

   3. Reason for Idea: content Occasion

• Planned vs Unplanned

• Franchises, Campaigns, Moments

Can AI-Assisted Content Bridge the Gap Between Short and Long Form?

The advent of Artificial Intelligence (AI) in the content sphere has introduced a transformative dimension to the debate between short form and long form narratives. As publishers grapple with the shifting preferences of audiences, AI emerges as a compelling tool to strike the ideal balance. But how exactly does AI influence this dynamic?

1. Adaptive Content Creation: AI’s ability to analyze vast amounts of data means it can quickly gauge audience preferences. By understanding trending topics, search queries, and user behavior, AI can assist in crafting content that aligns with current demands, whether it’s succinct summaries or comprehensive analyses.
2. Personalization at Scale: One of the challenges with both short and long form content is meeting the varied preferences of a diverse audience. AI algorithms can tailor content presentation based on individual user profiles, presenting bite-sized versions to some while offering extended reads to others.
3. Enhanced Engagement Analytics: AI doesn’t just assist in content creation but also in post-publication analysis. It can delve deep into engagement metrics, highlighting which content lengths are resonating more and suggesting tweaks in real-time. This offers publishers the agility to pivot their strategies promptly.
4. Efficiency in Production: For publishers managing vast content repositories, AI tools can automatically condense longer articles into shorter versions or expand on shorter pieces by pulling in relevant data and insights, ensuring that both content forms are readily available.
5. Future Forecasting: Beyond current trends, AI can predict upcoming shifts in audience preferences, allowing publishers to prepare and adapt. If the winds are changing towards long form content or vice versa, AI offers a heads up.

Key takeaway

When creating content, focus on the needs, wants, and the truth.

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Aleesha Jacob

With over seven years at the forefront of programmatic advertising, Aleesha is a renowned Ad-Tech expert, blending innovative strategies with cutting-edge technology. Her insights have reshaped programmatic advertising, leading to groundbreaking campaigns and 10X ROI increases for publishers and global brands. She believes in setting new standards in dynamic ad targeting and optimization.