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Business applications for spreadsheets

Below, you'll find links to example use cases that demonstrate how to apply GPT for Excel in a range of business domains. To try out the examples, make a copy of our demo spreadsheet and install GPT for Excel.

E-commerce and digital marketing​

E-merchandising, SEO, and Google Shopping​

Improve e-commerce product and service catalogs for SEO and merchandising purposes in digital marketplaces. Tasks include handling product or service variants, duplicating and normalizing content, and performing large-scale catalog optimization.

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Non-e-commerce SEO​

Generate and optimize digital marketing content outside the e-commerce context. The content includes blog posts, landing page texts, and SEO metadata. The focus is on improving organic visibility and engagement.

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Generate and optimize ad content for digital advertising platforms such as Google Ads, LinkedIn, and Meta (Facebook/Instagram). Tasks include creating headlines, generating descriptions, rephrasing call-to-actions (CTAs), and adapting keywords to maximize relevance and click-through rates (CTRs).

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Social media posts​

Plan, draft, and adapt content for social media platforms such as Facebook, Instagram, LinkedIn, TikTok, and X. Tasks include copywriting posts, suggesting hashtags, generating post variants for A/B testing purposes, and adapting tone and style to match a specific target audience or brand voice.

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Market research and analysis​

Generate concise descriptions of companies or markets, gather information about a company's activities, offerings, and industry classification, and analyze market variables, such as size, growth, share, trends, and key players. The purpose is to inform business strategies.

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Sales and CRM operations​

Lead generation​

Identify potential leads, such as companies or contacts, and evaluate the alignment between their needs and your product offering to determine the likelihood of conversion.

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Sales outreach​

Craft personalized and compelling messages tailored to engage B2B prospects, with the aim of initiating meaningful conversations and driving sales opportunities.

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CRM enrichment, cleaning, and segmentation​

Maintain and enhance CRM data by correcting inaccuracies, enriching the data with additional relevant information, and segmenting the data to improve targeting and personalization.

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Feedback analysis and responses​

Feedback analysis​

Analyze customer reviews and support tickets for sentiment, identify brand and product mentions, and extract and classify key topics.

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Drafting responses​

Craft clear, relevant, and effective replies to support tickets and customer reviews, with the goal of resolving issues and improving customer experience.

Consumer insights and media monitoring​

Consumer insights​

Manage and analyze client surveys to understand customer needs, behaviors, and perceptions. Tasks include writing unbiased survey questions, editing for clarity and to fix errors, cleaning response data, and analyzing responses to extract actionable insights.

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Media monitoring​

Search for articles on specific topics, summarize press articles, and extract relevant information from news content to track media coverage and sentiment.

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