Copy-Paste Prompts for Every Platform

Use the Blend MCP to run a comprehensive health check across all my ad accounts. Flag any campaigns with spend but zero conversions in the last 7 days, any platforms where CPA increased more than 20% week-over-week, any audiences with frequency above 4, and any creatives running more than 30 days without refresh. Rank issues by estimated wasted spend and give me a prioritized fix list.

Use the Blend MCP to analyze conversion paths across Google, Meta, TikTok, and Microsoft Ads for the last 30 days. Which platform combinations most frequently appear together before a conversion? Are any platforms primarily top-of-funnel assists being undervalued by last-click ROAS? Recommend a budget allocation that accounts for the full-funnel contribution of each platform.

Use the Blend MCP to find every campaign, ad group, or ad across all my ad platforms that has spent more than $50 in the last 14 days with a CPA more than double my account average. Pause them all, calculate the total daily budget freed up, and redistribute that budget to the top 5 performers across all platforms.

Use the Blend MCP to analyze last year's performance data across all platforms for a major sale starting in 2 weeks. Identify which channels, campaigns, and audiences performed best during the promotional period. Build a pre-sale, sale, and post-sale budget plan for each platform, create audience retargeting pools from recent site visitors, and recommend which ad creatives to prepare for each channel.

Use the Blend MCP to calculate the marginal cost per acquisition on each platform at current spend levels. Which platform gives me the cheapest next 100 conversions? Build a scenario analysis showing projected total conversions and blended CPA if I shift 10%, 20%, and 30% of budget from the least efficient platform to the most efficient. Factor in each platform's learning period and minimum viable budgets.

Use the Blend MCP to scan all my Google Ads campaigns for statistically significant performance changes over the last 7 days compared to the prior period. For any anomalies, diagnose the likely root cause - was it a bid strategy change, audience shift, competitor activity, or quality score drop? Prioritize findings by revenue impact.

Use the Blend MCP to analyze my Google Ads search term reports from the last 30 days. Find search terms that converted but aren't added as keywords yet, identify high-spend terms with zero conversions to add as negatives, and flag any keyword cannibalization where multiple ad groups compete for the same queries. Estimate the monthly savings and revenue opportunity.

Use the Blend MCP to analyze the last 30 days of search term reports across all my Google Ads campaigns. Find every search term that triggered an ad but had zero conversions and spent over $10. Add them as negative keywords at the appropriate level - campaign or ad group. Tell me the total spend these terms wasted and the projected monthly savings.

Use the Blend MCP to analyze diminishing returns across all my Google Ads campaigns. Identify campaigns where marginal ROAS is still above my 3x target but are budget-constrained, and campaigns where I'm overspending past the point of efficient returns. Build a reallocation plan and apply it.

Use the Blend MCP to check my Meta Ads for creative fatigue signals. For each active creative, show me the day-over-day trend in CTR, CPA, and frequency over the last 14 days. Flag any creatives that have crossed the fatigue threshold - declining CTR with rising frequency. Recommend which to pause immediately, which to refresh with new copy, and which are still in their growth phase.

Use the Blend MCP to analyze audience saturation across all my Meta Ads campaigns. For each audience segment, show me the relationship between spend, frequency, and marginal CPA. Which audiences still have headroom to scale profitably? Which are oversaturated and need to be replaced? Suggest three new audience strategies based on my top-converting customer profiles.

Use the Blend MCP to find all Meta ad sets that have maintained a CPA below my target for at least 5 consecutive days with a minimum of 10 daily conversions. Duplicate each one with a 30% higher budget and broadened age range by 5 years in each direction, keeping the same creative. Set a CPA alert to notify me if any scaled versions exceed my target by 20% within 48 hours.

Use the Blend MCP to compare the performance of my Advantage+ Shopping campaigns against my manually targeted campaigns on Meta over the last 30 days. Break down by ROAS, CPA, spend, and conversion volume. For Advantage+, analyze which audience segments the algorithm is spending on and whether it's finding customers my manual targeting misses. Recommend which campaigns should switch strategies.

Use the Blend MCP to map the performance lifecycle of each active TikTok creative - show me how CTR, CPA, and engagement rate changed day-over-day since launch. Identify which creatives are in their growth phase, which have peaked, and which are in decline. Based on the decay patterns, predict when each active creative will cross my CPA threshold and build a staggered rotation calendar.

Use the Blend MCP to show me the performance of all my TikTok Spark Ads compared to regular In-Feed ads. Break down by CTR, CPA, engagement rate, and video completion rate. Are organic-boosted posts outperforming studio creatives? Identify which organic posts from the last 30 days have the engagement signals that predict strong paid performance and recommend which to boost next.

Use the Blend MCP to take my three best-performing TikTok audiences by CPA and create an A/B test structure for my two newest video creatives against each audience. Set each test with a $50/day budget, 7-day duration, and cost cap bidding at my current average CPA. Define the winner criteria as statistically significant CPA difference at 90% confidence.

Use the Blend MCP to import my top-performing Google Ads campaigns to Microsoft Ads. Analyze how Bing CPC benchmarks differ for my keywords and adjust bids accordingly. Flag any keywords with low Bing search volume, recommend ad copy adjustments for Bing's typically older and higher-income audience, and set up Audience Network extensions where my display data suggests it would perform.

Use the Blend MCP to analyze my Microsoft Ads conversion data by demographic breakdowns - age, gender, device, and time of day. Which segments are outperforming? Apply bid adjustments to increase bids on high-converting segments and decrease on underperformers. Show me the projected impact on CPA and conversion volume.

Use the Blend MCP to break down my Microsoft Ads performance by network - Bing Search vs. Audience Network. Beyond CPC and conversion rate, analyze the quality of conversions from each network: average order value and assisted conversions. Is the Audience Network driving incremental customers or cannibalizing search? Recommend an optimal budget split between networks.