Optimizely Mark prompts
Prompting is how you communicate with Mark (Optimizely Agent Platform) in Mark chat to get accurate, useful results. The way you phrase your request impacts how well Mark understands and responds. The following information provides best practices for writing clear, effective prompts and includes examples to help you structure your requests. Use these techniques to get better answers, streamline your workflows, and make the most of Mark's capabilities.
Prompt engineering for Mark chat
Make the most of Mark by communicating your requests clearly and effectively. Prompt engineering involves crafting precise prompts to get the best results. You can boost Mark's ability to support your marketing and product development work with a few simple principles.
Key principles of effective prompting
- Clarity and specificity – Just like giving instructions to a human assistant, clarity and specificity are crucial for Mark chat. Avoid vague or ambiguous language. The more precise you are with your request, the more accurate and relevant Mark's response is.
- Instead of – Tell me about marketing.
- Try – Generate a list of content marketing strategies for ecommerce businesses targeting Gen Z.
- Context and background – Provide relevant context and background information to help Mark understand your request better. This can include details about your target audience, campaign objectives, brand guidelines, or specific Optimizely functionalities you want to utilize.
- Instead of – Create a campaign brief.
- Try – Create a campaign brief for a new product launch targeting millennials, with a budget of $10,000, focusing on social media channels, and aligning with our brand's sustainability values.
- Desired output format – Specify the desired format for Mark's response, such as a list, a paragraph, a table, or code. This information helps Mark structure its output in a manner that is useful to you.
- Instead of – Analyze our A/B test results.
- Try – Analyze the A/B test results for the homepage banner, comparing variations A and B, and provide a table summarizing the click-through rate, conversion rate, and statistical significance for each variation.
- Iterative refinement – Do not expect the perfect response on the first try. Prompt engineering is an iterative process. Start with a general prompt, then refine it based on Mark's initial response. Experiment with different phrasings, keywords, and levels of detail to fine-tune the output.
- Examples and demonstrations – Provide examples or demonstrations of the desired output to improve Mark's understanding. You can refer to past campaigns, content pieces, or reports as templates for Mark.
- Instead of – Write a blog post about A/B testing.
- Try – Write a blog post about A/B testing, similar in style and tone to the example provided in this link: [link to example blog post]. Focus on the benefits of A/B testing for Optimizely Experimentation users.
Tips for effective prompting
- Be clear and specific in your requests.
- Provide context and background information.
- Use examples to illustrate the desired output.
- Break down complex tasks into smaller, more manageable steps.
Example prompts for Mark
Use the following example prompts in Mark chat to guide your requests. Replace placeholder text shown in UPPERCASE_WITH_UNDERSCORES with your actual information.
General prompts
- What is the latest news from COMPANY_NAME?
- Example – What is the latest news from Optimizely?
- Tell me more about PRODUCT. I am particularly interested in TOPIC.
- Example – Tell me more about Optimizely Content Management System (SaaS). I am particularly interested in competitor analysis.
- Generate a list of keywords related to THEME with a monthly search volume AMOUNT suitable for use in PRODUCT.
- Example – Generate a list of keywords related to 'artificial intelligence' with a monthly search volume greater than 1000, suitable for use in Optimizely Content Marketing.
- Create a call-to-action for GOAL.
- Example – Create a call-to-action encouraging sign-ups for our free trial.
- Given this DATA, create a targeted email campaign promoting our new product line.
- Example – Given the customer data in the attached Optimizely Data Platform (ODP) segment, create a targeted email campaign promoting our new product line.
- Using PRODUCT, how would I complete TASK?
- Example – Using Optimizely Feature Experimentation, how would I create a feature flag for our new checkout flow?
- Suggest metrics I should track for GOAL.
- Example – Suggest metrics I should track for increasing subscription conversions.
Image file uploads
These prompts assume you have uploaded an image in the current chat or chat thread. See Supported file types in Mark.
- What can you tell me about this image?
- Provide three examples of alt text for this image.
- Update the image's style to cartoonish, change the mood to happier, and give four variations.
Other file uploads
These prompts assume you have uploaded a file in the current chat or chat thread. See Supported file types in Mark.
- Summarize this file. Focus on TOPIC.
- Example – Summarize this file. Focus on how this competitor compares to Optimizely.
- Analyze this DATASET and identify trends.
- Example – Analyze this customer behavior dataset and identify purchase patterns by region.
Note
If you use Opti ID, administrators can turn off generative AI in the Opti ID Admin Center. See Turn generative AI off across Optimizely applications.