Your data
What to do with your Trigify export
Open the export, drop rows older than ninety days and duplicates of the same person, then sort what is left by company: a company with three people engaging is worth more than three strangers. Import the file, watch those companies for their next change, and write to the right person when it comes.
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Is it too late to export from Trigify?
Trigify asked customers to export before their access ended, using the export options already in the product. Access ended at 11:59pm BST on 22 October 2026 for standard customers, and customers on other contract terms were told their own dates. If your date has not passed, export today. If it has, Trigify’s notice says final details go to each customer directly, so look for that email before assuming the data is gone.
What is usually in the file?
Exports differ by what you tracked, so open yours before planning anything. Most rows describe one person doing one thing on one post. Look for these columns, under whatever names your file uses:
- Who: a name, a profile link, a headline or job title.
- Where they work: a company name, and sometimes a website.
- What they did: liked, commented, reposted, or matched a keyword.
- On what: the post link, and whose post it was.
- When: the date of the engagement, which is the column that decides everything below.
How do you clean it in fifteen minutes?
- Save an untouched copy. Every step after this is on a duplicate.
- Delete rows older than ninety days. A like from last spring tells you what someone cared about then, not now.
- Remove duplicates by profile link, never by name alone. Two people share a name more often than you think.
- Delete anyone who is a customer, a colleague, a friend, a competitor or a recruiter. They engage with everything and buy nothing from you.
- Add one column: the company website. Fill it for every row with a company, because the company is what you will watch.
Who should you contact first?
Sort by company, not by person. Three people from one company engaging in the same month is a pattern; one stranger’s like is noise. Then sort companies by how recent their newest row is. The top twenty are your week.
For each of the twenty, the strongest opener is never the like itself. “You liked my post” reads as surveillance. Open with what is true about their company now: a role they are hiring, a page they changed, a product they launched. The engagement tells you who to write to; the change tells you what to say.
How do you import the file into InstinctGTM?
- Create your account and finish setting up your venture, so it knows what you sell before it scores anybody.
- Open Bring your data and choose your cleaned file, CSV or JSON. It is read in your browser first, and nothing is saved until you press import.
- Match the columns. Each column in your file gets a field: profile address, name, company website, what they did, when, keyword. There is no ready-made Trigify mapping yet, so you pick them once, and you can save the match for your next file.
- Choose what the rows become: people, engagers on your own posts, watched companies, keywords, and a deal for each person if you want one. Tick that the engagements are on your own posts only if they are; rows from other people’s posts come in as people, with no note.
- Read the preview: how many rows were read, which were left out and why, who is already here, and the first ten rows as they will come in. The rows left out download as a file with the reason beside each.
- Import, and keep the page open while it runs. The summary says what was added, what matched someone already here and what was left out. For 7 days, Undo removes only what this import added.
A person is matched by profile address, email, or company website with the name, never by name alone, so two people called Sam Patel stay two people. Nothing is looked up on LinkedIn to fill a gap.
The screen after the import shows the people warmest to you from the file, each with a drafted note in your voice, and the companies now watched. You copy a LinkedIn or X note and send it yourself. When several changes happen at a watched company, it shows on Home with the dated evidence and a message to approve.
If you would rather not do it yourself, send us the export from the switch page and we import it with you.
What should the first twenty messages look like?
- One reason, dated, in the first line: what changed at their company and when.
- One sentence on why that change makes your product relevant now.
- One small ask that is easy to say yes to.
- Nothing about the post they liked, unless they commented and the comment gave you something to answer.
Questions this answers
- How do I export my data from Trigify?
- Trigify asked customers to use the export options already in the product before their access ended. Standard access ended at 11:59pm BST on 22 October 2026; customers on other contract terms were given their own dates.
- What should I do with a Trigify CSV?
- Remove rows older than ninety days and duplicate people, delete customers, colleagues and competitors, then sort by company. Watch the top companies for their next dated change and write to the right person when it comes.
- Should I message everyone who liked my post?
- No. Group by company and start with companies where several people engaged recently. Open with a change at their company, not with the like.
- Can InstinctGTM import a Trigify export?
- Yes. Bring your data takes a CSV or JSON file, you match its columns once, and its people, engagers on your own posts, watched companies and keywords come in. It can be undone for 7 days, and it never visits LinkedIn to fill a gap.
Facts and sources
Read next
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- Trigify alternatives for founders: what to use after the shutdown
- How to see who engages with your LinkedIn posts without scraping or getting banned