
Late to Retail Media Means Right on Time: Ace Hardware's Molly Hjelm
Ace Hardware, a cooperative of 5,200 independently owned stores, announced the rollout of its own retail media network last year, positioning itself as a late entrant that can learn from early adopters. The network draws on Ace’s extensive loyalty program and longitudinal shopper data, delivering real‑time, full‑funnel measurement from day one. It offers a full‑stack portfolio—off‑site, on‑site, and in‑store placements—designed in partnership with merchants, ensuring that campaigns are both measurable and aligned with store interests. Executives highlighted the “late mover advantage,” noting that they avoided friction points that older networks now face. The recently introduced “Retailer Reach” feature extends advertising to independent retailers via email, banner ads, ordering platforms, and editorial content—tactics unique to Ace’s co‑op model. For vendors, the platform provides a level playing field to reach a nationwide audience, while merchants gain a data‑driven revenue tool. The move signals that even late‑entering retailers can build sophisticated media ecosystems, potentially reshaping the competitive dynamics of retail media.

Anatomy of a Viral Campaign: How We Built Loop Marketing
The video walks through HubSpot’s Loop Marketing Campaign, a showcase of its new always‑on methodology that replaces traditional 90‑day bursts. The team built the campaign in just over a month, aligning messaging, positioning, and assets for a launch at Inbound’s...

Why Your Google Ads Strategy Needs the Voice of YouTube Creators
The video introduces Google’s new YouTube Creator Partnerships hub inside Google Ads and DV360, allowing advertisers to add creator‑driven content directly to performance campaigns. Melissa Hsieh Nikolic explains that AI—leveraging Gemini—scans billions of signals to surface relevant creators, from nano‑influencers to...

The Marketing Opportunity of a Decade (But Not for Long)
Neil Patel warns that within twelve months AI agents will handle product searches and purchases, reshaping the customer journey more dramatically than Google or mobile did. The shift moves the decision‑maker from humans browsing sites to autonomous agents that scan...

Jasper AI: Unlock Marketing Success with Smart Ads #shorts
The video demonstrates a quick, practical method for marketers to dissect a competitor’s advertising strategy using publicly available tools. By searching "best AI marketing tools" and clicking the Jasper.ai link, the presenter shows how to view the competitor’s landing page...

How Do You Reach Only New Customers?
John Loomer explains that Meta automatically retargets existing customers even when advertisers use broad targeting, so marketers must consciously decide whether to exclude them. He outlines the upside—lower cost per purchase—and downside—potentially inflated conversion metrics and lower average order values—of serving...

Meet Blackstone’s "Accidental Influencer" Who Made LinkedIn Jogs Wall Street’s Must‑watch Content
Jon Gray, president and COO of Blackstone, has turned his LinkedIn feed into a personal branding platform, sharing running selfies, travel tips and investment anecdotes to a following of more than 300,000 users. Gray’s low‑budget, authentic approach contrasts sharply with traditional...

Better Shopping Ads Performance: Build Trust
The video explains that trust is the missing link limiting Google Shopping ad performance, urging merchants to prove legitimacy to unlock full product visibility. It outlines four quick actions: aligning business details with the site’s contact page, claiming and verifying the...

A "Dead Internet" Could Happen Within 3 Years | Profound CEO James Cadwallader #ai #podcast
In a recent podcast, Profound CEO James Cadwallader warned that the internet could become “dead” within three years as AI supplants human browsing. He argues that as users turn to conversational agents for answers, traffic to traditional websites will plummet, eroding...

Targeting Google Ads Keywords - Surfside PPC Podcast Episode 16 (Video)
The episode centers on Google Ads keyword targeting, breaking down match types and how to structure search campaigns for maximum relevance. The host outlines best practices: group keywords by service and geographic location, create separate ad groups, and align each with...

Ep.124: Shiv Narayanan of How To SaaS | The 7-Step AI Marketing Blueprint
In this episode Shiv Narayanan introduces his new bestseller, the AI Marketing Blueprint, and explains why traditional demand‑generation channels such as paid search and SEO are losing effectiveness. Buyers are increasingly turning to large‑language‑model platforms—ChatGPT, Gemini, Claude—to self‑educate, conduct research,...

Server-Side Tracking Explained in 2 Minutes || What Is Google Tag Manager Server-Side Tagging?
The video explains server‑side tagging in Google Tag Manager, contrasting it with traditional client‑side implementations that run in the browser. It outlines three primary benefits: faster page loads because tracking scripts stay off the client; higher data fidelity as custom domains...

Build THIS and You'll Never Struggle to Get Clients
The video explains how premium‑priced business owners can stop chasing mass audiences and instead cultivate "buyer fame"—recognition among the exact prospects who can afford their services. It distinguishes three fame types: wide (mass awareness), niche (industry respect), and buyer (target‑client...

How To Set Up A Meta Business Account in 2026
The video walks viewers through setting up a Meta Business Account in 2026, a prerequisite for running Facebook and Instagram ads or using any Meta‑powered business tools. It explains that the account consolidates assets—Facebook pages, Instagram professional profiles, ad accounts, Pixels—into...
![How to Use AI Max for Search Campaigns in Google Ads [Guide]](/cdn-cgi/image/width=1200,quality=75,format=auto,fit=cover/https://i.ytimg.com/vi/nHNUzkCREvc/maxresdefault.jpg)
How to Use AI Max for Search Campaigns in Google Ads [Guide]
The video introduces Google’s AI Max for Search, a machine‑learning layer that advertisers can enable within existing Search campaigns to automate targeting and creative decisions. AI Max works across three pillars – improved search‑term matching using broad‑match and keyword‑list signals, dynamic...