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Human-first LinkedIn outreach intelligence
Pactando analyzes your official LinkedIn data export to show which messages earned replies, which conversations were left hanging, and what patterns separate the two. Instead of sending more messages, it helps founders, consultants, recruiters and sales professionals learn from the outreach they already did. The free analyzer runs entirely in your browser with no LinkedIn login, no browser extension and no scraping.
Reads messages.csv and Connections.csv from LinkedIn's official data archive, with Invitations.csv as optional context. All other export files are ignored.
The free analyzer parses your CSV files in browser memory. Files and raw conversation text are not uploaded to a server, and 'Clear analysis' wipes the working data.
Moves past a single top-line response rate to show reply status across every contact in your export.
Compares how outreach performed before versus after a connection was accepted, so you can see which context actually earns engagement.
Surfaces conversations worth reopening, flagging signals like requested details, referral mentions and explicit follow-up-later replies.
Filters results by reply status, company, channel and tone to get from an aggregate metric to the individual conversations behind it.
Founders running their own outreach surface customer, partner and investor conversations that stalled without a clear no, and get a prioritized list of who to reopen.
Recruiters find candidates who replied, requested details or asked to be contacted later, then work that recovered list instead of sourcing from scratch.
Independent consultants review which personalized approaches earned replies across clients and markets, and refine their messaging before the next campaign.
Sellers working multi-month cycles audit long threads where timing and follow-up decide the outcome, and catch the ones that quietly went cold.
Uses the optional Invitations.csv to report outgoing invitations, how many carried a note, and how many matched to accepted connections.
Deep Analysis classifies conversation intent and opportunity type, then assigns a priority score to rank which threads deserve attention first.
Deep Analysis reviews message patterns and performance signals and suggests rewrites for the outreach you send.
Loads fictional sample data so you can explore the full dashboard before uploading any of your own export files.
Deep Analysis produces an exportable advanced report with recommended next actions per conversation.
Anyone about to increase outreach volume first checks what their existing messages actually achieved, so they scale a version that works rather than one that does not.

B2B data enrichment and intelligence, now part of HubSpot