Category: Researches and statistics

  • eCommerce in 2025: What Became the New Normal – and What 2026 Will Demand Next

    eCommerce in 2025: What Became the New Normal – and What 2026 Will Demand Next


    The Year eCommerce Stopped Experimenting

    2025 was not a year of bold promises. It was a year of quiet decisions. Fewer flashy replatforming announcements. More conversations about margins, returns, data quality, and trust.
    And guess what? =) AI didn’t disappear – it settled.
    It stopped being a “feature” and became part of the infrastructure behind discovery, conversion, and operations.
    In short: eCommerce grew up.

    What 2025 Turned Into the New Normal

    AI Became the Shopping Interface – Not a Trick

    In 2025, AI stopped living in pitch decks and started shaping how customers actually shop.
    According to Salesforce, a growing share of consumers – especially Gen Z – already use AI-assisted tools to discover products, compare options, and make purchase decisions.

    The implication is structural, not cosmetic: search is no longer just SEO.(while we haven;t got aquainted that AI replaced ad standard Google search)

    Content increasingly needs to work in conversational, assistant-driven, and answer-based journeys. That is a new normal!

    Retail Media Grew Up – and Demanded Accountability

    Retail media networks crossed the line from “promising channel” to core revenue driver. Research from the IAB shows continued growth – but with rising pressure for standardized metrics, transparency, and first-party data quality.

    By 2025, retail media was no longer about experimentation.

    It was about controlled, measurable profitability.

    Profitability Replaced Growth-at-All-Costs

    Rising logistics costs, higher CAC, and expensive returns forced a reset. According to Forrester, many brands in 2025 shifted focus from traffic volume to unit economics, operational efficiency, and sustainable margins.

    Growth didn’t disappear. It simply had to prove it belonged in the P&L.

    Returns and Fraud Became Strategic Risks

    Returns management stopped being an operational problem and became a leadership concern. Coverage from Reuters highlights how return abuse,policy loopholes, and AI-enabled fraud began eroding both margins and customer trust.

    The response was predictable – and necessary: stricter return policies, even at the risk of short-term dissatisfaction.

    Mobile UX Became a Baseline, Not a Differentiator

    Reports from Adobe continued to show year-over-year growth in online spending – with mobile performance directly tied to conversion rates.

    By the end of 2025, this truth was unavoidable:


    What 2026 Will Likely Demand

    From AI Assistants to AI Agents

    The next shift is not smarter recommendations – it’s autonomous execution. Salesforce forecasts that 2026 will be shaped by AI agents capable of: handling customer support, optimizing workflows, executing tasks across systems.

    In practical terms: AI will stop advising teams – and start doing the work.

    Digital Trust Becomes a Product Requirement

    In its 2026 outlook, Gartner describes a future that is AI-powered and hyperconnected – but fragile without trust.

    For eCommerce, this means explainable recommendations, transparent pricing logic, stronger fraud prevention, and responsible data usage.

    Returns Will Tighten – UX Must Do More Upfront

    Forrester predicts further tightening of return policies in 2026 as margin pressure continues. That shifts the burden before checkout: clearer product context, better sizing and fit guidance, richer visual and styling cues.

    Pre-purchase UX will become one of the strongest profit levers in modern commerce.

    Retail Media Moves Toward Standardization

    IAB research points to the next phase of retail media:unified metrics, omnichannel execution, and deeper CRM integration.

    Winning strategies in 2026 will connect: onsite → app → in-store → loyalty → CRM as one measurable system, not isolated channels.

    Discovery Will Keep Moving Away from “Search”

    Insights from Reuters and Salesforce show continued growth in:

    -AI-influenced shopping,

    -social-driven discovery,

    -video and conversational commerce.

    Insights from Reuters and Salesforce show continued growth in:


    The Zerna Summary 🌾

    2025 taught the market that AI is not magic but infrastructure.

    2026 will demand proof – in P&L – through agents, trust, smarter returns, and truly measurable channels like retail media.


    Sources

    -Salesforce — State of the Connected Customer, AI Trends in Commerce

    -Forrester — eCommerce Predictions 2026, Retail Profitability Research

    -Gartner — Top Strategic Technology Trends 2026

    -IAB — Retail Media Networks Reports

    -Adobe — Digital Economy Index

    -Reuters — Retail, AI, and Consumer Behavior Coverage

  • Rise at Seven moves into the content marketing space – and here is why

    Rise at Seven moves into the content marketing space – and here is why

    2023 was the year AI went mainstream. ChatGPT, Midjourney, Copilot — these tools became household names, even for people outside the tech bubble. But how did we get here? And what’s next?

    What is AI Today?

    Modern AI is not science fiction. It powers thousands of applications — from chatbots to medical diagnostics.

    Language Models (e.g. GPT-4, Gemini)

    Three major branches of current AI:

    Computer Vision (face, object, and gesture recognition)

    Automation & Robotics (drones, self-driving cars, factories)

    “AI doesn’t replace people — it amplifies them.”
    — Fei-Fei Li, Stanford Professor

    What Does “Search-First” Actually Mean?

    Everything we do starts with intent.

    In advertising, brands are putting products in front of consumers, not actually knowing if that’s what they want.

    But we work in search. We know exactly what people want. Because they’re telling us every minute of the day in search bars on Google, TikTok, Pinterest, YouTube, Amazon and more.

    Social data is a polished, filtered version of ourselves, but search data is raw, unfiltered truth, revealing the secrets of our users’ and consumers’ minds.

    We are tracking this live to create search-first marketing strategies that serve intent and solve true customers’ needs, problems and pain points. We have award-winning case studies that prove any channel marketing activity can be 10 times more effective when driven by search-first data.

    What Does “Search-First” Actually Mean?

    Everything we do starts with intent.

    In advertising, brands are putting products in front of consumers, not actually knowing if that’s what they want.

    But we work in search. We know exactly what people want. Because they’re telling us every minute of the day in search bars on Google, TikTok, Pinterest, YouTube, Amazon and more.

    Social data is a polished, filtered version of ourselves, but search data is raw, unfiltered truth, revealing the secrets of our users’ and consumers’ minds.

    We are tracking this live to create search-first marketing strategies that serve intent and solve true customers’ needs, problems and pain points. We have award-winning case studies that prove any channel marketing activity can be 10 times more effective when driven by search-first data.