Why Saves Matter More Than Likes in Influencer Marketing

In the world of influencer marketing, likes have long been the default measure of engagement. But there's a problem: likes are cheap. They can be purchased in bulk for a few dollars, generated by engagement pods, or inflated by bot accounts. As a result, brands making decisions based on like counts are often flying blind.

The Save Signal

When someone saves an Instagram post, they're telling the algorithm — and the creator — something much more meaningful than a like. A save says: "I want to come back to this." It signals genuine intent. The user found something valuable enough to bookmark it for later — a recipe to try, a product to buy, a tip to remember.

This behavior is almost impossible to manufacture at scale. Unlike likes, saves don't happen impulsively. They require a deliberate action that bots and engagement pods rarely replicate convincingly. That's what makes saves the most fraud-resistant engagement metric available on Instagram.

How We Weight Saves at Aklopedia

Our Aklopedia Engagement Score (AES) weights saves at 40% of the total score — the single largest factor. Here's the full breakdown:

• 70–80% Automated: Same-day & exact same-date posting, real views, likes, comments, shares, reposts, and saves, content usage / brand integration accuracy, and consistency across the full Surge.
• 20–30% Human Review (by Youssef + team): Content quality & brand alignment, overall campaign impact and resonance, and special context (e.g. boycott effects).

This hybrid approach is designed to reward creators whose content genuinely resonates with their audience, while penalizing those who rely on artificial inflation. Current average AES across recent Surges: 87–91/100.

What This Means for Brands

When you book a creator through Aklopedia, you're not just looking at follower counts or like totals. You're seeing a score that reflects whether real people found the content valuable enough to save it. That's a fundamentally different — and more useful — data point for predicting campaign performance.

The save-to-like ratio is also one of the five signals in our fraud detection system. Creators whose saves fall below 2% of their likes are flagged for review, because that pattern is inconsistent with genuine engagement.

The Bottom Line

If you're evaluating creators for a campaign, don't just ask "how many likes do they get?" Ask "how many saves?" The answer will tell you far more about whether the audience is real — and whether your investment will deliver real results.