# Postelix > Postelix is LinkedIn market data for B2B companies. It builds a named market: the people who decide and influence purchases in a company's category, by name, with role and LinkedIn profile, re-scored every week. The list is built from six sources (competitor engagers, brand engagers, trusted voices, champions, the room, the company's own inputs) and feeds content, LinkedIn ads, events, creator partnerships and outbound. Every reaction, comment and profile view from that market comes back as a named person with the exact post attached. Postelix also publishes market data journalism: which vendors, posts and people a B2B market actually reacts to on LinkedIn, counted as market reactions per post over 90 days with the sample stated. Key facts (as of September 2026): - Pricing: Basic EUR 490/month (up to 2,000 new people/month; 6,000 active people; one market; readout, draft testing, capture; follow-up drafting for one poster; ad budget stays in the customer's own account, recommended from EUR 500/month). Team EUR 1,190/month (up to 6,000 new people/month; 18,000 active people shared across three markets; trusted-voice ad partnerships; shared view of who is warming up). Enterprise from EUR 3,900/month (up to 20,000 new people/month; 60,000 active people across up to ten agreed markets, quarterly strategy, priority support). Prices exclude VAT. - Start: https://engine.postelix.com/engine/start (work email, setup saves as you go). A readout of a prospect's own market is offered on a call: https://www.postelix.com/book - Who it is for: founders and in-house marketing leaders at B2B companies with roughly 20 to 200 people, whose real market is a few thousand senior people. - The market is built from public LinkedIn engagement (reactions and comments on competitors' and the company's own posts), title-filtered, and from the customer's own inputs. The customer strikes out anyone who does not belong. A title that looks right is not buying authority. - Data posture: built for the European rules. Vendor-level aggregates are published; engager lists are never published. Profile-view capture needs LinkedIn Premium or Sales Navigator on the seat. - Method for every published table: market reactions per post = reactions and comments from the sampled market on a vendor's public posts in a 90-day window, divided by that vendor's posts in the window. Zero is printed as zero with the post count. Sample and window are printed on every table. - Company: Postelix is a brand of Unfair Advantage Ltd, Meleti 2C, 8570 Pegeyia, Cyprus. Support: help@postelix.com ## Main pages - [Homepage](https://www.postelix.com/): what the engine does, where the market comes from, the six sources, champions, the weekly process, pricing, FAQ - [Pricing](https://www.postelix.com/#pricing): three tiers - [Book a call](https://www.postelix.com/book): get a readout of your market - [Blog](https://www.postelix.com/blog) - [B2B LinkedIn Marketing Playbook](https://www.postelix.com/linkedin-marketing-playbook): practical workflows for ads, outbound, events and influencer partnerships, with copyable briefs, worked examples and a free PDF. ## Published findings (August 2026 readouts, sample stated on every table) - Revenue tooling (170 most active of 642 sampled, 90 days, pulled 27 Aug 2026): Gong 13.6 market reactions per post, Outreach 11.0, Salesloft 4.1, Clari 2.8, Sybill 2.8, Revenue.io 1.4, Avoma 1.1, People.ai 0.5, Attention 0 from 24 posts. The person this market follows most is an AE at Gong with a newsletter (29 of 170), ahead of every CEO in the category. - Ecommerce customer-service AI (170 most active of 264 sampled): Kustomer 6.6 per post, Gladly 3.2, Siena 3.1, Loop Returns 2.0, Yuma 2.2, Ada 1.3, parcelLab 1.2, Zowie 0.9, Gorgias 0.8, Narvar 0.2. Siena's two founders reach 40 of the sampled market; the company page reaches 3. - AI agent platforms (4,449 raw reactors, 8 anchors, 90 days): builders and practitioners outnumber service owners and leads on every platform, from 11:1 (Botpress) to 87.7:1 (Gumloop); 79 versus 1,523 overall. - Held across every market pulled so far: craft posts beat product news about 2:1; founders and operators out-reach their company pages by roughly 10x; the person a market follows is rarely a vendor CEO; every market has an invisible vendor. ## Comparisons (older pages from Postelix's outbound-tool period, kept for reference) - [Postelix vs Gojiberry](https://www.postelix.com/gojiberry-alternative) - [Gojiberry reviews on Reddit](https://www.postelix.com/gojiberry-review-reddit) - [AI SDRs on Reddit](https://www.postelix.com/ai-sdr-reddit) - [AI SDR tools compared](https://www.postelix.com/ai-sdr-tools) - [LinkedIn automation on Reddit](https://www.postelix.com/linkedin-outreach-automation-reddit) - [What Reddit says about LinkedIn outbound tools](https://www.postelix.com/linkedin-outbound-tools-reddit) - [Postelix vs Apollo](https://www.postelix.com/postelix-vs-apollo) - [Postelix vs Lemlist](https://www.postelix.com/postelix-vs-lemlist) - [Postelix vs Taplio](https://www.postelix.com/postelix-vs-taplio) - [LinkedIn DM Report 2026](https://www.postelix.com/linkedin-dm-report-2026): Postelix's own data from 117,021 LinkedIn messages across 32,770 conversations (Feb to Jul 2026) ## Legal - [Privacy](https://www.postelix.com/privacy) - [Subprocessors](https://www.postelix.com/subprocessors) - [Terms](https://www.postelix.com/terms) - [Impressum](https://www.postelix.com/impressum) Discovery allowances reset each calendar month (UTC), are shared across markets, and count unique new qualifying people. Discovery pauses at monthly or active capacity. Acquired data stays accessible. Background refreshes gradually slow as active audiences grow; recent activity is prioritised. No complete-market or fixed refresh-time guarantee.