Short reads for short attention spans

Instagram prioritises "Sends per Reach" as top ranking signal

Instagram has officially shifted its algorithm to prioritise "Sends per Reach", the frequency with which a post is shared via Direct Message (DM), as the primary driver for organic distribution.

While "likes" have long been the visible currency of the platform, Head of Instagram Adam Mosseri confirmed that private sharing is now the strongest indicator of content value. This shift is designed to favour "Interest Media" over traditional social graphs; if a user sends a post to a friend, the algorithm views it as highly relevant and is more likely to push it to the "Explore" and "Reels" feeds of non-followers.

For marketers, this means content must move beyond passive "double-tap" appeal and focus on "shareability", content that is either so helpful (tutorials/lists) or so relatable that it sparks a private conversation.

Why it matters

• The "Double-Tap" is dying: Recent data shows "likes" are in freefall, while "Sends" and "Saves" are the only metrics showing consistent year-over-year growth.
• Reach Recession: Brands relying on high-frequency, low-value posting are seeing reach plummet; the algorithm now favours "high-signal" content that travels through DMs.
• Unconnected Growth: Private shares are now the fastest way to reach "unconnected" audiences (people who don't follow you yet) via the Reels recommendation engine.

Further reading at the Sprout Social:

The Instagram algorithm: How it works and strategies for 2026

The "AI Fragmented Messaging" Trust Crisis

A new study from Storyblok reveals that 73% of consumers are less likely to buy from a brand if its messaging appears inconsistent across different AI and digital touchpoints.

As AI-powered search engines (like Gemini, ChatGPT, and Perplexity) and "AI Overviews" become primary research tools, brands are struggling to maintain a "single source of truth." Because these models often scrape different data sources or use older cached information, users are frequently encountering conflicting product details, pricing or brand tones when comparing a brand's website against an AI's summary.

This "fragmentation" is creating a significant trust gap: 80% of shoppers say inconsistent messaging makes them question a brand's credibility, often leading them to abandon their purchase to "double-check" facts elsewhere.

Why it matters

• Trust is a performance metric: In an AI-saturated market, consistency is becoming a competitive advantage; 87% of users now expect a unified experience across all AI and social interfaces.
• The GEO Gap: Despite the risk, only 23% of businesses have a formal Generative Engine Optimization (GEO) strategy to manage how they appear in AI results.
• Conversion Friction: Inconsistency doesn't just hurt the brand image; it adds immediate friction to the funnel, with 48% of users reporting a total loss of confidence in a product when AI and web data don't match.

Further reading at the Storyblok:

Businesses plan to double down on AI investment but security and privacy concerns remain top of mind

LinkedIn reveals "Skills on the Rise 2026" for marketers

LinkedIn’s 2026 "Skills on the Rise" report has identified Performance Analysis and AI Literacy as the two fastest-growing requirements for marketing professionals globally.

The report, which tracks the skills driving hiring success, shows a fundamental shift from "execution-based" roles to "systems-based" roles. Performance Analysis took the #1 spot, driven by increased executive pressure to prove the ROI of marketing spend in a volatile economy. AI Literacy ranked #2, moving from a niche "experimental" skill to a core requirement for nearly all mid-to-senior marketing positions.

Rounding out the top three is Social Media Branding, signaling that as AI-generated content floods the web, companies are placing a higher premium on "human" storytelling and the ability to build distinct, authentic communities that AI cannot replicate.

Why it matters

• Data Fluency is Mandatory: Marketing is becoming more technical; the ability to interpret complex data and connect it to revenue is now the top predictor of hiring success.
• The "Human Premium": As technical tasks are automated, "soft" skills like community engagement and visual storytelling are actually gaining value as brand differentiators.
• Evolving Job Descriptions: AI is not replacing marketers, but it is "nibbling away" at execution tasks (drafting, reporting, QA), forcing a redefinition of what a "Full-Stack Marketer" looks like in 2026.

Further reading at LinkedIn:

Skills on the Rise: The Fastest-Growing Skills in 2026