› Create copy variants to use across your campaigns.
› As your data set gets larger, create messaging personas based on collected data, allowing you to create testing variants at scale.
› Make a Hubspot segment of your most engaged contacts via lead score. If you don't have lead scoring set up in HubSpot yet, you can use another metric to build your sample.
› Set up a Zapier workflow triggered by addition to the segment. The workflow will run for each contact who meets your engagement criteria.
› Identify the HubSpot fields you'll want the AI to consider when it creates your content variants. Start with things like company, job title, emails opened, website pages visited, etc.
› In your next step, you'll need to make sure you have Linkedin URLs for every contact. Either collect them manually, or use one of the many Apify scrapers to grab this data. If you already have Linkedin URLs, connect Apify's LinkedIn Profile Posts Scraper. This tool will use the URL to grab the last 20 posts your prospect made. Exclude comments, reactions and other data types--we only care about the posts.
› Lastly, connect a Google Sheet. Create columns for each bit of data you've collected, including the Posts Content from Apify. Next time you are preparing a big piece of content, you'll be able to train your AI to write testing variants for more personalized A/B testing.