Basil Puglisi

Get Spooky Smart and Stand Out on Google This Halloween

October 2, 2024 by Basil Puglisi Leave a Comment

Halloween hype builds search volume. Themed content makes you memorable. Skip it, and blend into the background.

What it is: Posts and photos boosting engagement signals.

How it works: Add an offer with a spooky photo. Semrush data shows seasonal content lifts interactions.

What to do this week: Add one Halloween offer and themed photo.

Why it matters: Grabs shoppers visually, increasing walk-ins. Fosters loyalty through timely fun. A costume shop saw 25% more visits.

Boost engagement by 20% this month in stats.

For more:
Semrush. (2024). GBP posts. https://www.semrush.com/blog/google-business-profile-posts
Melon Local. (2024). Photo best practices. https://melonlocal.com/photo-best-practices-for-google-business-profile

About the Barstool Blog
The Barstool Blog is built for small business owners who want quick advice without the jargon. I break things down into what it is how it works what you can do this week and why it matters. For deeper dives check out my #AIgenerated blogs on SEO Social Media and Workflow including ecommerce and CRM. For industry leaders my #AIassisted blog shares a monthly look into business marketing digital strategies content events and AI.

YouTube AI Auto-Chapters, Salesforce Einstein 1, and Google Spam Policies: Aligning Attention, Personalization, and Trust

September 23, 2024 by Basil Puglisi Leave a Comment

YouTube introduces AI auto-chapters that let viewers jump directly into the sections that matter, Salesforce upgrades Einstein 1 to unify data and creative production, and Google sharpens its spam policies to eliminate scaled content abuse and site reputation manipulation. Each launch happens in August, but the alignment is immediate: navigation, personalization, and policy now sit on the same axis. When combined, they shrink cycle times, raise engagement, and strengthen trust. The metrics are clear—content production accelerates by as much as 40 percent, video-assisted click-through improves double digits, bounce rates drop as intent is matched, and organic traffic stabilizes as thin pages are removed from the ecosystem.

Factics prove that precision drives performance. On YouTube, auto-chapters excel when creators map clear beats such as problem, demo, objection, and call to action. Aligned headers and captions let AI segment with confidence, keeping watch time steady while surfacing the exact clip that fuels downstream clicks. Einstein 1 applies the same discipline to campaigns. Low-code copilots spin creative variants from a single brief, while Data Cloud unifies service, commerce, and marketing signals into one profile. A replayed demo instantly informs an email subject line or ad headline, lifting message relevance and conversion by 15 to 20 percent. Google enforces the final pillar with strict spam policy compliance. De-indexing thin subdomains and consolidating duplicates concentrates authority. Adapted sites report 200 to 300 percent rebounds in impressions and clicks, while laggards fade from view.

“Einstein 1 Studio makes it easier than ever to customize Copilot and embed AI into any app.” — Salesforce News

The connective tissue is not the feature list but the workflow. A video segment that earns replays informs CRM targeting. CRM targeting informs creative variants. Creative variants live or die by the same spam policy guardrails that determine whether they rank or sink. Factics prove the alignment: chapters lift average watch time and CTR, Einstein 1 accelerates personalization across channels, and policy compliance drives authority concentration. Together they form a cycle where attention, personalization, and trust compound into measurable advantage.

Best Practice Spotlights

Gucci personalizes clienteling with Einstein 1.

Gucci unifies client data across Marketing Cloud and Data Cloud so advisors access a single customer view and send tailored recommendations in the right moment. Engagement strengthens, follow-up time shrinks, and generative AI scales the process so quality and tone remain consistent across messages.

B2B SaaS recovery through policy-aligned cleanup.

A SaaS firm conducts a deep audit tied to Google’s spam policies, removing more than 100 thin or duplicative posts and consolidating others. Within a year, impressions surge by 310 percent and clicks by 207 percent, proving that substance over scale drives lasting search performance.

Creative Consulting Concepts

B2B Scenario

Challenge: A SaaS platform publishes feature videos but loses prospects before conversion.

Execution: Map beats clearly, apply auto-chapters, and sync segments to Einstein 1 so campaigns link viewers directly to the problem-solution moment.

Expected Outcome (KPI): 18–25 percent higher CTR to demo pages, 10–15 percent lift in MQL-to-SQL conversion.

Pitfall: Over-segmentation risks fragmenting watch time.

B2C Scenario

Challenge: A DTC brand drives reach but inconsistent add-to-cart rates.

Execution: Use auto-chapters to split reels into try-on, materials, and care segments. Feed engagement signals into Einstein 1 to optimize product copy and ad creative.

Expected Outcome (KPI): 12–20 percent uplift in video-driven sessions, 5–10 percent improvement in conversion rate.

Pitfall: Inconsistent chapter naming can break the scent of intent.

Non-Profit Scenario

Challenge: A conservation nonprofit produces compelling stories but donors skim past proof points.

Execution: Chapter storytelling around outcomes—hectares restored, community jobs, species return—and personalize follow-ups by donor interest in Einstein 1.

Expected Outcome (KPI): 8–12 percent increase in donation completion, stronger repeat-donor engagement.

Pitfall: Overloading chapters with jargon reduces clarity and trust.

Closing Thought

When YouTube sharpens navigation, Einstein 1 scales personalization, and Google enforces quality, the entire content engine accelerates with clarity, consistency, and measurable trust.

References

YouTube Blog. (2024, May 14). Made by YouTube: More ways to create and connect.
Search Engine Journal. (2024, June 25). YouTube Studio adds new generative AI tools & analytics.
The Verge. (2024, May 14). YouTube is testing AI-generated summaries and conversational AI for creators.
Salesforce News. (2024, April 25). Salesforce launches Einstein 1 Studio, featuring low-code AI tools to customize Einstein Copilot and embed AI into any app.
Google Search Central Blog. (2024, March 5). New ways we’re tackling spammy, low-quality content on Search.
Diginomica. (2024, June 12). Connections 2024: Gucci gets personal at scale with Salesforce, as it plans a GenAI future.
Amsive. (2024, May 16). Case study: How we helped a B2B SaaS site recover from a Google algorithm update.

AI in Workflow: Scaling Marketing Automation with AI-Powered Precision #AIg

September 16, 2024 by Basil Puglisi Leave a Comment

What Happened
In August 2024, ActiveCampaign announced that its AI-powered automation actions reached 1.4 billion for the year, marking a 20% year-over-year increase. This milestone underscores the accelerating adoption of AI in marketing automation, where real-time data triggers, behavior-based personalization, and predictive workflows are allowing brands to deliver more targeted and effective campaigns. The scale of these automations demonstrates marketers’ ability to orchestrate personalized messaging across email, SMS, and in-app channels, especially during peak retail moments like Cyber Monday.

Who’s Impacted
B2B – Marketing teams and agencies can leverage AI-driven automation to coordinate multi-channel campaigns with greater precision, increasing conversion rates while reducing manual workload.
B2C – Customers experience more relevant and timely messages delivered on their preferred channels, creating smoother journeys and stronger brand affinity.
Nonprofits – Advocacy groups and fundraising organizations can deploy AI-triggered campaigns to engage supporters at moments of peak interest, increasing donations and event participation.

Why It Matters Now
Fact: ActiveCampaign processed 1.4 billion AI-powered automation actions in 2024, a 20% YoY increase.
Tactic: Audit existing automation sequences to identify high-performing triggers, then replicate and adapt them across additional channels.

Fact: Predictive workflows optimize content delivery by aligning with user behavior and lifecycle stage.
Tactic: Implement predictive audience segmentation to prioritize the highest-probability engagement opportunities.

Fact: Real-time data triggers enable rapid deployment during seasonal and high-demand retail events like Cyber Monday.
Tactic: Develop ready-to-launch automation templates for time-sensitive campaigns to reduce preparation time and maximize ROI.

KPIs Impacted: Total automation actions, automation growth rate (YoY), engagement rate, campaign ROI, conversion rate.

Action Steps

Map all current automation workflows and measure performance to identify optimization opportunities.
Integrate predictive analytics into campaign planning to refine targeting and timing.
Expand automation across email, SMS, and in-app messaging for omnichannel reach.
Prepare rapid-deploy campaign templates for seasonal and event-driven opportunities.

“AI-driven automation turns every customer interaction into a data-backed opportunity, scaling engagement without scaling headcount.” – Chat GPT

References
ActiveCampaign. (2024, August). Cyber Monday 2024 AI Automation. Retrieved from https://www.activecampaign.com/blog/cyber-monday-2024-ai-automation

Disclosure:
This article is #AIgenerated with minimal human assistance. Sources are provided as found by AI systems and have not undergone full human fact-checking. Original articles by Basil Puglisi undergo comprehensive source verification.

Instagram & Facebook Highlights Into Customer Magnets

September 12, 2024 by Basil Puglisi Leave a Comment

September routines mean quick scrolls. Posts fade, Highlights stay top.

What it is: Saved Stories pinned on profile for offers or tips that don’t vanish.

How it works: Group 3-5 categories like deals or testimonials, add custom covers. Update weekly with new Stories. Promote in bio for clicks.

What to do this week:
• Create 3 highlight buckets.
• Post Stories and add to Highlights.

Why it matters: Later data shows 30% longer profile time. Keeps proof visible, leading to more trust and leads.

Goal: 2 new DM inquiries from Highlights this month.

For more:

Meta Help (2023) Instagram Highlights https://help.instagram.com/113086650094043;

Meta Stories (2023) Business https://www.facebook.com/business/help/676603329074281;

Later (2023) Ideas https://later.com/blog/instagram-highlights/

AI Style Filters, Storytelling Tools, and Skill Insights Reshape Social Media #AIg

September 9, 2024 by Basil Puglisi Leave a Comment

What Happened

Instagram is rolling out AI-powered style filters that instantly apply cohesive visual aesthetics across images and videos, giving creators and brands a new shortcut to consistent branding. TikTok is debuting AI storytelling tools that help map out scripts, scene sequences, and recommended effects, making narrative-driven content easier to produce. LinkedIn’s latest AI skill insights break down platform-wide hiring trends, showing which capabilities are rising fastest in demand.

On August 7, YouTube introduced its AI Video Ideas Tool, offering data-backed concepts to spark creator inspiration. Just two weeks later, X launched its AI Bot Directory on August 21, a searchable index that spotlights automated accounts, adding a new layer of transparency to platform engagement.

Who’s Impacted

B2B – Agencies can standardize campaign aesthetics in seconds, prototype narrative ads faster, and align recruitment strategies with hard data on emerging skills.

B2C – Creators gain access to intuitive production tools that streamline storytelling, while style filters simplify personal branding and LinkedIn insights point to valuable skill-building opportunities.

Nonprofits – Advocacy groups can create consistent visuals for awareness campaigns, tell emotionally engaging stories on TikTok, and identify volunteer skill gaps using LinkedIn’s analytics.

Why It Matters Now

Fact: AI style filters eliminate the need for manual color grading and asset-by-asset editing.

Tactic: Develop a signature look and apply it consistently across all channels to strengthen recognition.

Fact: TikTok’s AI storytelling assists with script prompts and effect recommendations.

Tactic: Reduce pre-production timelines by drafting full narrative arcs in-app before filming.

Fact: LinkedIn AI skill insights provide real-time market analysis.

Tactic: Adapt hiring and training plans quarterly to stay aligned with market demand.

Key KPIs: Brand consistency score, time-to-publish, story completion rates, applicant-to-hire ratio, and engagement per narrative post.

Action Steps

1. Create a branded AI style filter for upcoming campaigns.

2. Test TikTok’s storytelling tools for short-form content.

3. Review LinkedIn skill insights to guide workforce planning.

4. Experiment with YouTube’s AI video ideas to expand your content mix.

“The most powerful AI features now work quietly in the background, letting creativity and strategy take the spotlight.” — Basil Puglisi

References

Instagram. (2024, August). AI style filters for creative branding. Retrieved from https://vamp.com/blog/social-media-updates-august-2024/

TikTok. (2024, August). AI storytelling tools for creators. Retrieved from https://ultravioletagency.com/social-media-trends-news-august-2024/

LinkedIn. (2024, August). AI skill insights and emerging trend analysis. Retrieved from https://vamp.com/blog/social-media-updates-august-2024/

Disclosure: This article is #AIgenerated with minimal human assistance. Sources are provided as found by AI systems and have not undergone full human fact-checking. Original articles by Basil Puglisi undergo comprehensive source verification.

Give Your Local Shop a Back-to-School Lift on Google

September 4, 2024 by Basil Puglisi Leave a Comment

Parents hunt for school essentials online. No seasonal tie-in? Your spot stays hidden. Add one to lead the pack.

What it is: Keyword-linked posts or events on your profile.

How it works: Create back-to-school offers or events. Erik Emanuelli’s guide notes these match trend spikes perfectly.

What to do this week: Add one back-to-school special or event.

Why it matters: Positions you top in family queries. Builds traffic and loyalty during key times. A supply store got 18 extra clicks weekly.

Generate 15 website clicks from the post this month.

For more:
Emanuelli, E. (2023). Seasonal keywords. https://erikemanuelli.com/seasonal-keywords
Sway Digital. (n.d.). Google Trends for seasonality. https://swaydigital.co.uk/how-to-use-google-trends-to-identify-keyword-seasonality

Google’s Search Generative Experience and Neeva’s Shutdown #AIg

September 2, 2024 by Basil Puglisi Leave a Comment

What Happened

In May 2023, two pivotal moments shaped the search engine conversation. On May 10 at Google I/O, Google introduced its Search Generative Experience (SGE) — a bold step toward weaving generative AI directly into the search journey. Rather than a list of blue links, SGE placed AI-crafted summaries at the top of results, complete with suggested next questions and linked sources. The feature was initially rolled out as an opt-in experiment in Search Labs, signaling Google’s intent to change the very structure of SERPs.

Just ten days later, on May 20, Neeva, the subscription-based, privacy-focused search engine, announced it would shut down its consumer product after being acquired by Snowflake. The decision surprised many in the SEO and privacy communities, as Neeva had been a notable innovator in integrating AI summaries with transparent sourcing. While Snowflake planned to fold Neeva’s expertise into enterprise data tools, its departure from the consumer market marked a retreat from one of the most promising alternatives to ad-driven search.

Who’s Impacted

B2B: Enterprise marketers began exploring how SGE’s AI answers might shift click-through rates for high-value queries. The move also pushed internal teams to consider AI summaries in proprietary knowledge search tools.

B2C: Users encountered the possibility of faster, context-rich answers without needing to click multiple links. Privacy-conscious consumers, however, saw a key player exit the market with Neeva’s shutdown.

Nonprofits: Mission-driven organizations noted the potential for SGE’s source visibility to help highlight credible content, but also recognized the risk of reduced traffic to informational pages.

Why It Matters Now

Fact: SGE’s launch emphasized conversational, follow-up-driven search sessions.
Tactic: Optimize content to answer not just the initial query but also logical follow-up questions, increasing surface area in multi-step search journeys.

Fact: Neeva’s closure removed a competitor pushing transparency in AI search.
Tactic: Double down on building trust signals — clear sourcing, authorship, and citation practices — to stand out as larger platforms shift toward AI mediation.

KPIs to watch: average SERP visibility for AI summaries, engagement rates from follow-up prompts, and referral traffic from AI-surfaced links.

Action Steps

1. Audit top-performing keywords for SGE visibility.
2. Implement FAQ-style follow-up content into cornerstone pages.
3. Reassess privacy messaging to capture audiences left behind by Neeva.
4. Monitor Search Labs updates for SGE expansion timelines.

“The future of search won’t just be about finding the right page — it will be about shaping the conversation before the click.” – Basil Puglisi

References

Google. (2023, May 10). Supercharging search with generative AI. Retrieved from https://blog.google/products/search/generative-ai-search/
Neeva. (2023, May 20). Farewell from Neeva. Retrieved from https://neeva.com/blog/may-announcement
The Verge. (2023, May 10). Google is making search more like ChatGPT. Retrieved from https://www.theverge.com/2023/5/10/23718048/google-io-2023-search-generative-experience-ai

Pinterest AI Backgrounds, Meta AI Reels Effects, and Google Core Update: A Marketing Alignment

August 26, 2024 by Basil Puglisi Leave a Comment

Pinterest releases an AI background generator for product imagery, Meta layers new AI tools into Instagram Reels effects, and Google’s core update shifts visibility across search. Each development lands in July, but the alignment is clear. AI now shapes the backdrop of product presentation, the dynamics of creative storytelling, and the structure of discoverability. When the three are connected, the workflow reduces production costs, increases engagement on short-form assets, and stabilizes performance during algorithm changes. The KPIs tell the story: image production costs drop by double digits, Reels engagement lifts by more than 18 percent, and recovery strategies in SEO bring traffic rebounds of 20 to 35 percent depending on content quality.

Factics highlight where creative output meets measurable gain. Pinterest introduces a background generator that allows brands to showcase products in diverse lifestyle settings without staging full photo shoots. A chair can be seen in a sunlit living room or a modern patio with a few text prompts. The tactic is to use AI backgrounds not just for aesthetic variation but for contextual testing — releasing multiple versions of a product Pin to see which lifestyle framing produces higher click-through. The KPI becomes a feedback loop: pins with contextualized backgrounds lift engagement by as much as 30 percent, while click-through rates rise by 12 percent when backgrounds match current trend aesthetics.

Meta drives a similar effect in video. Reels now benefit from AI-driven effects that allow creators and advertisers to build dynamic edits faster, guided by templates and machine learning optimizations. The logic is simple: lower the technical barrier to visual storytelling and campaigns scale more quickly. The tactic is to use AI-enhanced Reels to produce multiple variations of the same message, then push them into Advantage+ testing pipelines. KPIs show reduced production time by 40 percent and increases in CTR across video ads by 23 percent. At a platform level, Meta reports that Reels already account for half of the time spent on Instagram, with more than 200 billion Reels consumed daily.

Search is the third anchor. Google’s July core update forces adjustments across industries, rewarding content with deeper topical coverage and more consistent authority signals. Agencies note sharper penalties for thin content and stronger gains for sites investing in E-E-A-T and structured alignment. The tactic is to approach each update not as disruption but as recalibration: align briefs to user intent, enrich author expertise, and use structured data to reinforce context. The KPI impact becomes evident in case studies where brands that updated and pruned content achieved 35 percent rebounds in organic traffic within weeks, while those with thin pages saw visibility erode.

“Pinterest outlines AI background generation process for product shots.” — Social Media Today, July 14, 2024

The connective narrative is one of context. AI-generated backgrounds place products into relevant lifestyle frames, AI-driven Reels effects cut production cycles and expand storytelling formats, and search updates push brands toward quality content and structured context. Factics show that alignment of these inputs produces compounding results: cycle time in asset creation shrinks by nearly half, engagement rates lift double digits, CTRs on ads climb, and organic visibility stabilizes against volatility.

Best Practice Spotlights

Pinterest — Product Pins with AI Backgrounds (Social/Community)
Pinterest partners with brands like Wayfair, Madewell, and John Lewis to pilot its AI background generator for product Pins. A single furniture item can now be placed in dozens of lifestyle environments without expensive photoshoots. The measurable outcome is clear: engagement rises as images feel more tailored, and discovery improves as shoppable pins gain higher CTRs.

AdYogi — Meta AI Advantage+ in Reels (AI/Creative Tool)
AdYogi, a digital agency, applies Meta’s AI tools and Reels effects for pan-India campaigns. The AI systems uncover new customer segments while scaling ad performance through Advantage+ pipelines. The KPI results include reduced creative production time, improved conversions, and contribution to the broader trend of 200 billion Reels plays daily, positioning Reels as the primary driver of Instagram growth.

Creative Consulting Concepts

B2B — Retail Technology SaaS
Challenge: A SaaS provider for e-commerce retailers needs to show how its tools improve product discovery.
Execution: Use Pinterest AI to generate background variants of SaaS dashboards in retail settings, Meta AI Reels to deliver quick testimonial clips, and SEO briefs optimized to match queries around retail efficiency.
Expected Outcome (KPI): 25 percent increase in demo sign-ups, 15 percent CTR improvement on Reels ads, 20 percent higher organic rankings for product-led queries.
Pitfall: Over-engineering backgrounds that feel artificial; keep context relevant and believable.

B2C — Fashion Brand Drop
Challenge: A fashion label must create buzz for a seasonal collection without inflating content budgets.
Execution: Generate lifestyle-specific Pinterest product imagery, apply Meta AI Reels filters to influencer clips, and align SEO strategy to trending seasonal keywords.
Expected Outcome (KPI): 30 percent lift in shoppable pin engagement, 18 percent increase in Reels engagement, 10 percent reduction in bounce rate on landing pages.
Pitfall: Too many creative variations fragment testing; set clear A/B frameworks.

Non-Profit — Awareness Campaign
Challenge: A non-profit struggles with stagnant donor engagement in digital campaigns.
Execution: Apply AI backgrounds to storytelling pins that show community projects in different settings, use Meta AI to quickly produce testimonial-style Reels, and optimize SEO for intent-driven queries like “how to support local causes.”
Expected Outcome (KPI): 12 percent increase in donation page visits, 8 percent higher donor conversion, and broader organic reach for advocacy topics.
Pitfall: Risk of visual over-polish; preserve authenticity in donor-facing creatives.

Closing Thought

AI-generated backgrounds, AI-enhanced Reels, and Google’s search recalibrations align around one truth: context wins. When assets are faster to create, easier to personalize, and structurally optimized, KPIs improve across creative, engagement, and discoverability.

References

Adweek. (2024, May 2). Meta brings AI to Reels, matches creators with brands. Adweek.

Digital Music News. (2024, April 25). The rise of Reels — Meta says Reels time is 50% of Instagram. Digital Music News.

Economic Times. (2024, February 14). Digital agency AdYogi banks on Reels & Meta’s AI solutions to drive impact for clients. Economic Times.

Hayes Digital Marketing. (2024, July 19). 2024 SEO latest update! All Google search algorithm update. Hayes Digital Marketing.

Pinterest. (2024, July 16). Pinterest is testing an AI background generator for product Pins. TechCrunch.

Social Media Today. (2024, July 14). Pinterest outlines AI background generation process for product shots. Social Media Today.

Social Samosa. (2024, July 15). Pinterest unveils AI-powered background generator for product images. Social Samosa.

Search Engine Journal. (2024, July 21). Google algorithm updates & changes: A complete history. Search Engine Journal.

Rooster Marketing. (2024, July 24). Google algorithm update 2024 – Our guide to changes. Rooster Marketing.

AI in Workflow: Fashion Retail AI Recommendations Driving Value and Retention #AIg

August 19, 2024 by Basil Puglisi Leave a Comment

What Happened
On July 9, 2024, BrandAlley reported strong results from its deployment of AI-driven personalized product recommendations. According to the retailer, the system delivered a 10% increase in average basket value (AOV) and successfully recovered 24% of at-risk customers. By leveraging transaction history, browsing behavior, and predictive analytics, BrandAlley’s AI recommendations influence real-time purchasing decisions while improving customer lifetime value through retention-focused personalization strategies.

Who’s Impacted
B2B – Retailers and eCommerce platforms gain a data-backed proof point for implementing AI recommendation engines to boost upsell, cross-sell, and customer retention.
B2C – Shoppers receive more relevant and timely product suggestions, making the browsing and purchase process more intuitive and engaging.
Nonprofits – Charity shops and mission-driven eCommerce sellers can apply AI recommendation systems to promote high-priority inventory, seasonal stock, or donation-based products, encouraging larger basket sizes and repeat transactions.

Why It Matters Now
Fact: BrandAlley’s AI recommendation system increased AOV by 10%.
Tactic: Retailers should test AI-powered cross-sell and bundle offers to lift basket sizes without relying solely on discount strategies.

Fact: 24% of at-risk customers were recovered through targeted AI interventions.
Tactic: Deploy churn prediction models to identify customers at risk of lapsing, then use personalized outreach to re-engage them with tailored offers.

KPIs Impacted: Average order value, at-risk customer recovery rate, repeat purchase rate, recommendation click-through rate.

Action Steps

Integrate AI recommendation engines with both transaction history and browsing data to generate personalized offers.
Deploy churn prediction analytics to proactively re-engage customers at risk of churn.
Test AI-optimized upsell and cross-sell campaigns in key product categories.
Track changes in AOV and recovery rates to measure ROI and refine targeting models.

“AI recommendations work best when they feel invisible—guiding customer choices without breaking the flow of discovery.” – Chat GPT

References
Retail Tech Innovation Hub. (2024, July 9). BrandAlley AI recommendations boost AOV and recover at-risk customers. Retrieved from https://retailtechinnovationhub.com/home/2024/7/9/brandalley-ai-recommendations

Your Website’s About Page: Why It Still Matters

August 15, 2024 by Basil Puglisi Leave a Comment

August lulls are good for site fixes. Bland About Page? Visitors don’t connect with you or your brand.

What it is: Page telling your story with bio, history, photo to humanize your spot.

How it works: Write short paragraph on how you started, add team photo. Use Canva for layout. End with contact CTA.

What to do this week:
• Draft one-paragraph story.
• Add photo and publish.

Why it matters: ConversionXL says About pages influence 67% buys. They reduce bounces, leading to more trust and inquiries.

Goal: 2 new inquiries from page this month.

For more:

ConversionXL (2023) Tips https://cxl.com/blog/about-us-page/

Kinsta (2023) Importance guide https://kinsta.com/blog/about-us-page/

Copyblogger (2023) Strategies https://copyblogger.com/about-us-page/

About the Barstool Blog
The Barstool Blog is built for small business owners who want quick advice without the jargon. I break things down into what it is how it works what you can do this week and why it matters. For deeper dives check out my #AIgenerated blogs on SEO, Social Media and Workflow including ecommerce and CRM. For industry leaders my #AIassisted blog shares a monthly look into business marketing digital strategies content events and AI.