Background: I graduated from an Advertising and Marketing program earlier this year, and turned an internship into a job working in digital marketing for an ad agency in my city.

The most enjoyable parts of my job were the more technical and analytical aspects. I would make decisions based on trends in both our clients’ markets and past performance. I decided I wanted my next move to transition into marketing analytics.

However, my only experience with analytics is business analytics, as I am completing a post grad in Business Analytics. With that, the focus is on databases, data cleaning/modelling, and business intelligence. That stuff doesn’t interest me.

While I know and understand the tools needed in business intelligence (Access, Excel, Tableau, Cognos, SQL/R, etc), I’d like to have a better understanding of the typical tools & software used in a marketing analytics role.

Thank you!

Is programming knowledge necessary? Do I need to learn Statistics?

Marketing should never feel like throwing spaghetti at the wall and hoping something sticks. Yet for many businesses, especially in B2B, that’s exactly what it becomes. Campaigns are launched, emails sent, ads go live—and then the big question: "Is this even working?"

If you’ve ever struggled to explain marketing ROI in a way that doesn’t sound like buzzwords and wishful thinking, you’re not alone. The pressure is real. Executives want numbers. Sales teams want leads. And marketers? We just want proof our efforts are making a difference.

Let’s talk about how to quantify marketing efforts in a way that’s practical, clear, and actually useful.

First Things First: What Are You Trying to Measure?

Before anything else, you need to define what success looks like for your campaigns. Different goals require different metrics. Measuring brand awareness isn’t the same as tracking lead generation or conversion rates. Be honest about your objective. You can’t measure everything—so measure what matters.

Here’s a breakdown of common goals and the metrics that make sense for each:

|| || |Goal|Metric to Track| |Brand Awareness|Impressions, Reach, Direct Traffic, Social Engagement| |Lead Generation|Form Fills, CTA Clicks, Landing Page Conversions| |Sales Enablement|MQLs, SQLs, Pipeline Revenue, Close Rates| |Customer Retention|Repeat Purchases, Churn Rate, NPS| |Website Performance|Bounce Rate, Time on Site, Page Views|

Use KPIs That Tie Directly to Revenue

The biggest mistake many marketers make? Focusing too heavily on vanity metrics. Likes and views are nice, but they don’t pay the bills. If you want to justify your budget—or grow it—you need to tie your efforts to real business outcomes.

A few KPIs that execs actually care about:

• Customer Acquisition Cost (CAC) – Total marketing spend divided by the number of new customers acquired.
• Marketing Sourced Revenue – How much revenue can be directly attributed to marketing activities.
• Lead-to-Customer Rate – The percentage of leads that turn into paying customers.
• Return on Marketing Investment (ROMI) – (Revenue from marketing – marketing cost) ÷ marketing cost.

If you’re not tracking at least one of these, you’re working blind.

Track the Entire Funnel—Not Just the Finish Line

Many marketers focus too much on bottom-funnel conversions. That’s a problem. People don’t go from seeing an ad to making a purchase instantly—especially in B2B or high-ticket industries.

To quantify marketing efforts properly, you need visibility into the full funnel:

1. Awareness Stage – How many people are seeing your brand? Where are they coming from?
2. Interest Stage – Are they engaging with your content? Opening emails? Watching videos?
3. Consideration Stage – Are they visiting pricing pages or requesting demos?
4. Decision Stage – What percentage are becoming sales-qualified leads or booking meetings?
5. Action Stage – Are they converting? What’s the average deal size?

By tracking behavior across every step, you’ll get better insight into what’s working—and what’s not.

Use Tools That Do the Heavy Lifting

Data is only helpful if you can organize and analyze it. The good news: you don’t need to be a data scientist. There are plenty of tools that make this easier.

Here’s a basic stack:

• Google Analytics: For website behavior, traffic sources, and conversions.
• Google Tag Manager: Helps track clicks, downloads, and other actions on your site.
• CRM (like HubSpot or Salesforce): Connect marketing efforts to sales activity and revenue.
• Marketing Automation (like Mailchimp, ActiveCampaign, or Marketo): Track email campaigns, drip series, lead scoring.
• Call Tracking Software: If you're running local or PPC campaigns, tools like CallRail help connect phone leads to specific sources.
• Attribution Platforms (like Ruler Analytics or Triple Whale): For deeper insights into multi-touch attribution across channels.

And if you're using ads, always sync metrics from Google Ads, LinkedIn Ads, or Meta’s ad platform with your analytics.

Attribution Models Matter More Than You Think

One of the most common frustrations in marketing measurement? Not knowing which touchpoint deserves the credit.

Here’s a quick breakdown of attribution models:

• First Touch: Gives 100% credit to the first interaction (good for awareness tracking).
• Last Touch: Gives all the credit to the final step before conversion (useful for CRO testing).
• Linear: Distributes credit equally across all touchpoints (great for multi-channel strategies).
• Time Decay: Gives more weight to recent interactions (ideal for long sales cycles).
• U-Shaped or W-Shaped: Hybrid models that prioritize first and last key touches (better for B2B).

The best model depends on your sales cycle, product complexity, and how long it takes people to make a decision.

Don’t Ignore Qualitative Feedback

Numbers are powerful—but they don’t tell the whole story. Some of the most useful insights come from actual conversations:

• Ask your sales team where leads are saying they heard about you.
• Survey new customers: What made them decide to buy?
• Use on-site chat tools to collect questions and pain points.

When you mix hard data with soft feedback, your picture gets a whole lot clearer.

Measure Campaigns, Not Just Channels

Instead of obsessing over channel performance in isolation, focus on how specific campaigns perform. This helps you see what messaging, offers, and creative work best across platforms.

Example: Let’s say you're promoting a new whitepaper. Instead of just tracking Facebook Ads or LinkedIn Ads separately, you’d track the performance of that whitepaper campaign across:

• Paid social (LinkedIn, Meta)
• Email newsletter
• Organic search traffic to the landing page
• Influencer or partner shares
• Direct downloads from QR codes (e.g., from trade shows)

That approach gives you better clarity and makes future planning more effective.

Set a Benchmark—Then Improve It

You can’t improve what you can’t measure. Once your key metrics are tracked, the next step is to establish a baseline and aim to beat it.

• What's your current cost-per-lead?
• How long is your average sales cycle?
• What's the conversion rate from email click to form fill?

Once you have a solid baseline, marketing becomes a game of optimization—not guessing.

Final Thoughts: Proving Value = Job Security

Quantifying your marketing efforts isn’t just about showing off results. It’s about proving your value to the business. When you can speak the language of revenue, pipeline, and growth, you’re no longer just “the marketing person.” You’re a growth partner.

It’s not always easy. But it’s absolutely worth it.

So stop guessing. Start tracking. And take control of your marketing story.

TL;DR

• Define clear goals before choosing metrics.
• Track the full customer journey, not just conversions.
• Focus on KPIs that connect to revenue.
• Use the right tools for tracking and attribution.
• Don’t underestimate feedback from real people.
• Analyze campaigns holistically, not channel by channel.
• Set benchmarks and iterate based on real performance.

Quantifying your marketing efforts takes discipline, but it’s how good marketers become great.

If you're already doing some of this, what’s working best for you? If you’re struggling, where are you stuck? Let’s share real strategies!

TLDR Summary:

40 hyper-optimized ChatGPT prompts that cover every aspect of digital marketing - from content strategy to conversion optimization. Each prompt includes specific variables, context parameters, and output formats that deliver agency-level results.

The Ultimate ChatGPT Marketing Playbook: 40 Battle-Tested Prompts That Actually Convert

Listen up, marketers.

These aren't your generic "write me a blog post" prompts. These are precision-engineered, variable-rich frameworks that output marketing gold every single time. These can be used on ChatGPT, Claude or Gemini. The key to getting great results for these is to attach the right inputs, attachments and context about your company, products, and campaigns to the prompts below. The more specific you are the better results you will get.

It makes sense to test these prompts across the three major LLMs and compare outputs
Gemini has the largest context window for large outputs
Claude can generate spreadsheets and presentations
ChatGPT and Claude give some of the best writing

Why these prompts hit different:

• Each includes specific context parameters for maximum relevance
• Built-in quality checks and optimization layers
• Structured outputs that plug directly into your workflow
• Tested across B2B, B2C, SaaS, and e-commerce

Let's dive in.

🎯 CONTENT MARKETING STRATEGY (5 Prompts)

1. Content Calendar Architect

"You are a strategic content planner. Create a 90-day content calendar for [company] in the [industry] space. Target audience: [demographics, psychographics, pain points]. Business goals: [specific metrics]. Include: content pillars (4-6 themes), posting frequency per channel, content formats mix (60% educational, 25% promotional, 15% engagement), topic clusters with semantic SEO keywords, repurposing matrix showing how each piece transforms across platforms, and performance KPIs for each content type. Format as a table with columns: Date, Topic, Format, Channel, Keywords, CTA, Success Metric."

2. Topic Authority Builder

"Analyze the [niche] market and identify 20 underserved topic opportunities where [company] can establish thought leadership. For each topic provide: search volume data estimates, competition level (1-10), content gap analysis, unique angle we can own, supporting subtopics (minimum 5), expert sources to reference, and potential partnership/collaboration opportunities. Prioritize by impact/effort ratio and create a 6-month authority building roadmap."

3. Pillar Content Blueprint

"Design a comprehensive 10,000-word pillar page for [topic] targeting [audience]. Structure: compelling hook (3 variations), executive summary with key takeaways, 15-20 H2 sections with detailed subsections, original data points or industry insights, 10 actionable templates/frameworks readers can implement, internal linking strategy (minimum 20 contextual links), FAQ section addressing top 15 questions, and 5 content upgrades for lead generation. Include meta description, title variations for A/B testing, and social media promotional snippets."

4. Content Repurposing Engine

"Take this [content piece/URL] and create a repurposing strategy that generates 20 unique assets. Break down into: 5 short-form social posts with native formatting, 3 email newsletter sections, 2 video script outlines (60-second and 5-minute versions), 1 podcast talking points document, 1 infographic data story, 5 LinkedIn carousel slides, 10 Twitter/X thread components, 3 YouTube Shorts hooks, and 1 comprehensive slide deck. Maintain core message while optimizing each for platform-specific engagement patterns."

5. Engagement Optimizer

"Audit this content: [paste content or URL]. Provide enhancement recommendations across 10 dimensions: headline power score (1-100) with 5 alternatives, opening hook effectiveness with rewrites, storytelling elements to add, data/statistics to include, visual content suggestions, interactive elements, readability score optimization, emotional triggers analysis, CTA placement and copy variants, and SEO optimization opportunities. Output specific before/after examples for each dimension."

📱 SOCIAL MEDIA MARKETING (5 Prompts)

6. Viral Content Formula

"Create 10 social media posts for [platform] about [topic] optimized for maximum organic reach. Each post must include: attention-grabbing hook (first 7 words), story arc or value proposition, specific data point or surprising fact, emotional trigger (curiosity/fear/desire/belonging), clear visual description or actual visual prompt, engagement mechanism (question/poll/challenge), strategic hashtag mix (3 niche, 3 medium, 2 broad), optimal posting time based on audience, and 3 comment response templates to boost engagement. Format for easy copy/paste with character counts."

7. Community Growth Hacker

"Develop a 30-day community building campaign for [brand] on [platform]. Include: daily engagement tasks (comment, share, create), influencer outreach templates (5 variations), UGC campaign framework with incentive structure, community guidelines and moderation playbook, crisis management protocols, ambassador program structure, engagement pods strategy (ethical approach), content themes that spark discussion, live event/AMA calendar, and metrics dashboard tracking community health indicators. Provide week-by-week implementation timeline."

8. Platform-Specific Optimizer

"Optimize our [platform] presence for [goal: awareness/engagement/conversion]. Analyze current performance gaps and provide: profile optimization checklist (bio, links, keywords), content mix ratio for algorithm favorability, posting schedule based on audience activity, hashtag research with 50 categorized options, competitor analysis of top 5 accounts, content templates for 10 post types, engagement tactics specific to platform culture, paid promotion strategy with budget allocation, influencer collaboration opportunities, and monthly performance benchmarks to hit."

9. Social Commerce Converter

"Design a social selling funnel for [product/service] on [platform]. Map out: awareness stage content (5 concepts), consideration stage content (5 concepts), decision stage content with social proof, shoppable post templates with psychological triggers, limited-time offer frameworks, customer testimonial formats, influencer partnership structure for sales, retargeting content for cart abandoners, post-purchase advocacy content, and ROI tracking methodology. Include actual copy examples and visual directions."

10. Trend Hijacker Pro

"Monitor and capitalize on trending topics for [brand] in [industry]. Create: trend identification framework, relevance scoring matrix (brand fit 1-10), rapid response content templates (5 formats), trend-jacking guidelines and boundaries, real-time marketing calendar, meme adaptation templates, viral moment preparation kit, legal/PR consideration checklist, performance prediction model, and post-trend analysis framework. Provide 5 current trend opportunities with execution plans."

🔍 SEO & WEB TRAFFIC (5 Prompts)

11. Keyword Domination Strategy

"Conduct deep keyword research for [website/niche]. Identify: 50 primary keywords with search volume and difficulty scores, 200 long-tail variations with buyer intent indicators, 30 question-based keywords for featured snippets, 20 'People Also Ask' opportunities, 15 voice search optimized phrases, competitor keyword gaps (analyze top 5 competitors), seasonal keyword opportunities with timing, local SEO keywords if applicable, semantic keyword clusters for topical authority, and negative keywords to avoid. Create 6-month ranking roadmap with content priorities."

12. Technical SEO Audit Commander

"Perform comprehensive technical SEO audit for [website]. Check: site speed optimization opportunities (Core Web Vitals), mobile responsiveness issues, crawlability and indexation problems, XML sitemap optimization, robots.txt configuration, schema markup implementation gaps, internal linking structure analysis, broken links and redirect chains, duplicate content issues, canonical tag problems, image optimization needs, SSL and security factors, and international SEO considerations. Provide prioritized fix list with implementation guides."

13. Link Building Machine

"Create link building campaign for [website] in [industry]. Develop: 30 high-authority target sites with outreach templates, 10 linkable asset ideas with production briefs, HARO response templates for 5 categories, guest posting opportunities with pitch templates, broken link building prospects, resource page targets, partnership and collaboration angles, digital PR story angles, infographic distribution strategy, and competitor backlink replication opportunities. Include outreach email sequences and follow-up schedules."

14. Content Gap Assassin

"Analyze content gaps for [website] versus top 3 competitors. Identify: missing topic clusters, underserved search queries, thin content improvement opportunities, FAQ and Q&A gaps, video content opportunities, tool and calculator ideas, template and resource gaps, case study angles not covered, geographic content gaps, and user intent mismatches. Create content production calendar addressing top 20 gaps with keyword targets and success metrics."

15. Featured Snippet Hunter

"Optimize [website/content] for featured snippet domination. Target: paragraph snippets (20 opportunities), list snippets (15 opportunities), table snippets (10 opportunities), video snippets strategy, 'People Also Ask' box optimization, knowledge panel optimization, FAQ schema implementation, How-to schema opportunities, definition box targeting, and comparison snippet formats. Provide exact content formatting, word counts, and HTML structure for each snippet type."

✉️ EMAIL MARKETING (5 Prompts)

16. Welcome Series Architect

"Design a 7-email welcome series for [brand] targeting [customer segment]. Email 1: Brand story and value proposition with 3 subject line variants. Email 2: Social proof and success stories with segmentation triggers. Email 3: Educational content establishing expertise with content upgrades. Email 4: Product/service deep dive with interactive elements. Email 5: Exclusive offer with urgency mechanisms. Email 6: User-generated content and community invitation. Email 7: Feedback request and preference center. Include A/B test variables, timing sequences, and performance benchmarks for each email."

17. Re-engagement Resurrection

"Create win-back campaign for dormant email subscribers of [company]. Develop: segmentation strategy for inactive periods (30/60/90/180 days), re-engagement email series (4 emails per segment), subject lines optimized for opens (10 variants to test), personalization variables beyond just name, incentive escalation strategy, content preference survey, sunset policy for non-responders, list hygiene protocols, and success metrics for campaign evaluation. Include emotional triggers and value reminders specific to each inactivity period."

18. Segmentation Scientist

"Build advanced email segmentation strategy for [business] with [list size] subscribers. Create: demographic segments with personas, behavioral segments based on engagement patterns, purchase history segments with RFM analysis, content preference segments, lifecycle stage segments, geographic and timezone segments, device and email client segments, lead scoring model, dynamic content rules for each segment, and automated workflow triggers. Provide campaign ideas tailored to each segment with expected performance metrics."

19. Newsletter Money Machine

"Transform [company] newsletter into revenue driver. Design: content structure balancing value and promotion (70/20/10 rule), monetization opportunities without sacrificing trust, sponsored content integration guidelines, affiliate marketing implementation, product placement strategies, exclusive offer frameworks, cross-sell and upsell sequences, advertiser media kit template, subscriber growth tactics, and retention optimization strategies. Include 12-month revenue projection model with growth scenarios."

20. A/B Testing Laboratory

"Create comprehensive A/B testing framework for [company] email program. Test: subject line formulas (15 variants), preview text optimization, sender name variations, send time experiments, design layouts (3 templates), CTA button variations (copy, color, placement), personalization depth levels, image vs. text ratios, email length optimization, and urgency/scarcity tactics. Provide testing calendar, sample size calculator, statistical significance thresholds, and results documentation template."

💰 PPC ADVERTISING (5 Prompts)

21. Google Ads Dominator

"Build Google Ads campaign for [product/service] with [budget]. Create: campaign structure with ad groups, 50 keyword variations with match types, 20 negative keywords to exclude, 10 responsive search ads with multiple headlines/descriptions, 5 ad extensions (sitelink, callout, structured snippet, call, location), audience targeting parameters, bidding strategy recommendations, landing page optimization checklist, quality score improvement tactics, and day-parting schedule. Include competitive analysis and budget allocation across campaigns."

22. Facebook Ads Alchemist

"Design Facebook/Meta ads funnel for [business] targeting [audience]. Develop: campaign objectives for each funnel stage, detailed audience personas with targeting parameters, creative briefs for 10 ad variations (image, video, carousel), copy frameworks emphasizing different psychological triggers, custom audience strategies (lookalike, retargeting, exclusions), placement optimization across Meta properties, budget distribution using campaign budget optimization, pixel event tracking setup, iOS 14.5+ workarounds, and performance benchmarks by industry."

23. LinkedIn Ads B2B Sniper

"Create LinkedIn advertising strategy for [B2B company] targeting [job titles/industries]. Build: account-based marketing campaign structure, matched audiences using company lists, job title and seniority targeting matrix, content formats for each funnel stage (sponsored content, message ads, video), thought leadership ad templates, lead generation form optimization, conversation ad sequences, retargeting strategies for different engagement levels, integration with CRM for lead scoring, and ROI calculation model including pipeline attribution."

24. Shopping Ads Optimizer

"Optimize shopping campaigns for [e-commerce store] with [product catalog size]. Structure: campaign architecture by product category/margin, feed optimization checklist (titles, descriptions, images), bidding strategies for different product types, negative keyword sculpting, custom label strategies for segmentation, promotion extensions setup, competitive pricing intelligence, seasonal adjustment calendar, cross-selling campaign structure, and performance max campaign integration. Include automation rules and scripts for optimization."

25. Retargeting Revenue Machine

"Build retargeting ecosystem for [website] across all platforms. Create: audience segments based on behavior (viewers, cart abandoners, purchasers), dynamic product ads setup, sequential messaging strategy, cross-platform retargeting (Google, Facebook, LinkedIn), email retargeting integration, frequency capping rules, creative refresh schedule, offer escalation timeline, exclusion audiences to prevent fatigue, and attribution model for measuring impact. Provide platform-specific setup guides and budget recommendations."

📊 ANALYTICS & REPORTING (5 Prompts)

26. KPI Dashboard Architect

"Design comprehensive marketing dashboard for [company] tracking [goals]. Include: North Star metric definition, leading and lagging indicators, channel-specific metrics (organic, paid, social, email), conversion funnel visualization, cohort analysis setup, attribution modeling recommendations, custom dimensions and metrics, automated alerting thresholds, competitive benchmarking metrics, and ROI/ROAS calculations. Provide Google Analytics 4 setup guide, Data Studio template, and Excel/Sheets backup dashboard."

27. Attribution Decoder

"Solve attribution challenges for [business] with [customer journey complexity]. Develop: multi-touch attribution model comparison, channel interaction analysis, conversion path mapping, assisted conversion evaluation, time lag analysis, device cross-tracking setup, offline conversion tracking, view-through attribution for display/video, incrementality testing framework, and marketing mix modeling basics. Create attribution reporting template with channel contribution calculations."

28. Conversion Forensics Expert

"Analyze conversion rate for [website/funnel] and identify optimization opportunities. Examine: funnel visualization with drop-off points, user behavior flow analysis, device and browser performance, page speed impact on conversions, form analytics and abandonment, checkout process friction points, pricing page optimization, trust signal effectiveness, mobile experience gaps, and A/B test prioritization matrix. Provide 30-day CRO roadmap with expected lift calculations."

29. Competitor Intelligence System

"Build competitor monitoring framework for [company] tracking [top 5 competitors]. Monitor: traffic and ranking changes, content publishing frequency and topics, social media engagement rates, ad creative and copy changes, email marketing frequency and offers, new product or feature launches, pricing changes and promotions, partnership announcements, technology stack changes, and customer sentiment shifts. Create automated reporting system with alert triggers."

30. ROI Proof Generator

"Create marketing ROI reporting for [stakeholder type] showing [time period] performance. Include: executive summary with key wins, channel-by-channel ROI breakdown, customer acquisition cost trends, lifetime value calculations, marketing-influenced pipeline, brand lift measurement proxies, cost per acquisition by segment, marketing efficiency ratio, contribution margin analysis, and future performance projections. Design visual storytelling flow with data narratives that connect marketing to business outcomes."

🤖 MARKETING AUTOMATION (5 Prompts)

31. Lead Nurture Architect

"Design multi-touch lead nurturing system for [business] with [sales cycle length]. Create: lead scoring model with behavioral and demographic factors, progressive profiling strategy, content mapping to buyer journey stages, automated workflow triggers and branches, sales handoff criteria and SLA, re-engagement loops for stalled leads, lead recycling protocols, personalization token strategy, multi-channel orchestration (email, SMS, ads), and performance optimization framework. Include Marketo/HubSpot/Pardot implementation guide."

32. Behavioral Trigger Matrix

"Build behavioral automation for [platform/tool] based on user actions. Map: website behavior triggers (page visits, time on site, scroll depth), email engagement triggers (opens, clicks, forwards), purchase behavior triggers (cart, browse, buy), content consumption triggers (downloads, video views), social engagement triggers, milestone and date-based triggers, lead score threshold triggers, integration triggers from other tools, abandoned action recovery sequences, and trigger conflict resolution rules. Provide workflow diagrams and timing recommendations."

33. Chatbot Conversation Architect

"Create intelligent chatbot flows for [website/platform] serving [use cases]. Design: welcome message variations by traffic source, qualification question trees, intent recognition patterns, FAQ handling with 20 common questions, lead capture mechanisms, appointment booking flows, product recommendation logic, support ticket creation, human handoff triggers, and conversation recovery for abandoned chats. Include personality guidelines, error handling, and performance metrics to track."

34. Lifecycle Marketing Machine

"Develop lifecycle marketing automation for [SaaS/subscription business]. Build: onboarding sequence for new users (14-day flow), activation triggers and milestones, feature adoption campaigns, usage-based messaging triggers, upgrade and expansion campaigns, renewal and retention sequences, win-back campaigns for churned users, advocacy and referral programs, NPS/feedback automation, and customer health score automation. Map all touchpoints with message frequency governance."

35. Dynamic Content Engine

"Implement dynamic content strategy for [company] across all channels. Create: personalization variables inventory, content variation matrix by segment, dynamic email template system, website personalization rules, ad creative versioning system, landing page variation logic, product recommendation algorithms, geo-targeted content rules, time-based content scheduling, and testing framework for personalization impact. Include privacy compliance and fallback content strategies."

🎯 CONVERSION RATE OPTIMIZATION (5 Prompts)

36. Landing Page Optimizer

"Optimize landing page for [offer/product] targeting [audience]. Analyze: headline testing matrix (10 variants), value proposition clarity and hierarchy, social proof placement and types, form field optimization, CTA button psychology (copy, color, size, placement), page speed optimization checklist, mobile responsiveness audit, trust signals and security badges, urgency and scarcity implementation, and exit-intent strategies. Provide A/B test roadmap with statistical significance calculator."

37. Checkout Flow Surgeon

"Redesign checkout process for [e-commerce site] to minimize abandonment. Optimize: checkout steps and progress indicators, form field reduction strategies, guest checkout implementation, payment option optimization, shipping calculator placement, security and trust messaging, error handling and validation, save cart functionality, cross-sell/upsell opportunities, and post-purchase experience. Include abandonment recovery email sequences and remarketing strategies."

38. Pricing Page Psychologist

"Design high-converting pricing page for [product/service]. Structure: pricing table layout with visual hierarchy, feature comparison matrix, psychological pricing strategies, anchor pricing implementation, social proof integration, FAQ section addressing objections, money-back guarantee messaging, urgency triggers for decision-making, calculator or ROI tools, and plan recommendation algorithm. Provide copy templates emphasizing value over cost."

39. Social Proof Amplifier

"Maximize social proof impact for [website/product]. Implement: testimonial collection system, case study templates, review aggregation strategy, influencer endorsement display, media mentions and logos, user-generated content integration, real-time activity notifications, trust badges and certifications, customer success metrics, and community size indicators. Create placement strategy for maximum conversion impact with A/B testing framework."

40. Mobile Conversion Maximizer

"Optimize mobile experience for [website/app] conversions. Address: thumb-friendly navigation design, mobile-first form optimization, click-to-call implementation, mobile payment options, app download prompts, AMP or PWA implementation, mobile-specific offers, location-based features, offline functionality, and cross-device journey continuity. Include mobile-specific A/B tests and analytics setup for mobile behavior tracking."

PRO TIPS FOR MAXIMUM IMPACT

1. Variable Customization: Replace all bracketed variables with your specific details. The more specific, the better the output.
2. Chain Prompting: Use outputs from one prompt as inputs for another. Example: Use keyword research output for content creation.
3. Version Control: Save successful outputs and create prompt templates for recurring tasks.
4. Testing Protocol: Always generate 3-5 variations and test performance before scaling.
5. Human Touch: These prompts generate foundations. Add your brand voice, industry expertise, and creative flair.

Marketing isn't about working harder. It's about building systems that compound.

These prompts aren't just time-savers. They're force multipliers.

Your competition is already using AI. The question is: are you using it better?

Start with 5 prompts. Master them. Then add 5 more.

You don't have to cut and paste all these prompts - you can add them to your personal prompt library on Prompt Magic with just one click for free. Get great prompts like the ones is this post at PromptMagic.dev

You can easily create your own personal prompt library, customize prompts and organize all your prompts into folders (collections) on Prompt Magic 

Hi everyone,

One of the major feedback that I have received after talking to my manager was that I am not good in data analysis. They feel I am not someone who understands data, asks correct questions based on it, and basically takes decision-based on data, do analysis on raw data points etc. The whole organization is very data-driven, you are required to do your own analysis from raw data sets.

I also feel I have not been great in this aspect, and I really want to improve.

I have tried to go through the posts on Reddit and most of them deal with learning pro level things. I really don't know where to start so that I can achieve the above things and become better.

​

Any help or guidance would be really appreciated.

​

I’ve been working with the new automated goal-based campaign named “performance Max” since now 2-3 months and I would love to hear your feedback or experience on this campaign because so far, I’m not impressed.

A little context here: I’m working for a company who own multiples health clinic across the US and Canada. Sometime it can get a little tricky because we manage the marketing for 7 different brand that give the exact same services. So it’s very important to manage the different account to avoid artificially increasing the CPC since we bid on the same keyword in the same market with different brand that we own. Plus, it’s very important not to bid on the other brand by using negative keyword to avoid bidding on the brand of our other clinic. For our entire clinic and market we spend multiples millions by years only on Google Ads.

In May, our google representant never stop asking us to try the Performance Max insisting that it will only bid on keyword we’ll not qualified for the auction (no cannibalisation). We put a lot of money to try it out across our different brand and market (because we could afford to try it) and we let them run for 3 months with constant monitorization.

Here is my personal observation:

At first, the results were amazing. A global cost per acquisition 50% lower than what we normally have for the non-branded keyword. But I was a little sceptical because I was very confident in my global structure, optimization and strategies and there is NO way I’d missed that so hard. After looking at the few data available, I found out that

• 90% of our conversions came from branded keyword
  • Our impression share for all of our branded keyword was 98-99%.

So, we’ve asked to add negative keyword associated to our brand to Google. Immediately, our cost/conv sky rocket and the number of conversion drop near to 800%

• We found out that the rest of the conversions were from competing on our other brands.
  • Around 6% of the others conversion were made by bidding on our other brand. The result was a drastic increase of the CPC for our others brand because performance max increased artificially the cost for our other brand.
  • The other 4% was conversion from our High Value Keyword that we already put a lot of effort manually on them.
• Overall, all medium/source compile, we have no significant gain in conversion for the 3 months we were running performance max

Personal thought:

It might be anecdotic, but my impression is that Google use Performance Max to fill their other product (mail, display, etc.).

First: The lack of transparency is just unbelievable. It is very difficult, near impossible, to know where your money goes and you cannot make simple thing like adding negative keyword without asking directly to Google.

Second: If you have the experience and/or resources to understand the historical data from your Google account, you normally know what give you conversion and build your strategy to max out these keywords, I don’t know what Performance Max can add to yours campaigns except maybe a synergies with other product such as mail, youtube, display, etc.

Third: Even if Google said that there is no cannibalisation, I have some doubt about it, but it’s difficult to prove and I might be wrong on this.

Finally: Like mentioned, this is only my personal observation and maybe you have different results, but for me Performance Max is just another tool push by Google to have more control. I was not impressed at all and will definitively not recommend it. Each time I see this kind of new tool where Google push the AI and algorithm performance, I cannot stop thinking about the scene from Barry: “I guess I was wrong… If anything I've learned is nobody knows anything except the algorithm.”

My client is asking a forecast and a timeline of the traffic he wil get over a two year period in the form of a forecast.

How do i go about this? How are you guys making forecasts and projections about SEO?

On a Mastodon instance, you can go to the site and click “Add to Home Screen” and it gives you a nice integrated web app. How come people don’t use this over mobile apps? It has the full functionality of web, takes up less storage and covers pretty much all disadvantages of apps.

A large history YouTuber I won't identify, who credits a team of professional historians for the quality control of his content, asserting:

>I have a team behind my production. One is a trained historian, former archaeologist, two years of experience digging in Syria. One is a published author, one is an anthropologist with a post-doctoral degree. One is an Egyptologist PhD.

In his critique of another history YouTuber, this creator makes the following statement (emphasis mine).

>[redacted] is not used to using the sources to make his own contributions to the historical field as any advanced academic does. He's used to repeating what someone else says as undergraduates do.

I have only an undergraduate history degree, but in my experience of reading both scholarly books and journal articles by professional historians, this statement is not an accurate representation of typical practice. From what I have read it seems to me professional historians habitually cite secondary sources, and many of them, for various reasons, such as:

• A literature review in a journal article or book, idenitfying the status quaestionis or current consensus, and to demonstrate knowledge of prior work in a field
• Citing significant contributions to a field
• Interdisciplinary research to assist with the analsyis of aspects of a historical event which are beyond the author's own field of competency
• Synthesizing the research of others with their own, to make original contributions

I am interested in the comments of professional historians on the assertion I have quoted, and the extent to which professional historians use secondary sources. I find it hard to believe that professional historians only cite primary sources, and I am very skeptical of the implication that contributions to a historical field can only be the product of personal study of primary sources; surely compiling, synthesizing, and cross-examining secondary sources is also a way of contributing significantly to a historical field?