Brutally honest business advisor built into eesier
eesier gained an internal business advisor — a specialist agent that evaluates each customer's business against first-principles criteria: clear pain, proven willingness to pay, identifiable audience, and the value equation (dream outcome × likelihood ÷ time × effort). During onboarding, on periodic reviews, on ICP changes, or when the customer complains about results, the eesier agent consults the advisor and receives back a blunt verdict, real strengths, brutal weaknesses, a recommended ICP, a results probability, and a priority next step. If the verdict points to an unworkable positioning, eesier pauses activation and escalates to human support instead of burning outreach on a play that won't work.
Personal memory in eesier about who each customer is
eesier now silently picks up the personal facts a customer shares during every conversation — origin, family, history, motivations, tastes, wins, hard moments — and stores each one separately from business facts, across 16 distinct categories. Before, the eesier agent treated everything as a single mixed context; now it maintains a personal memory bank that can be referenced months later, preserving the original language the customer used. Sensitive topics get careful handling, and subjects already mentioned several times are retired so the conversation never feels repetitive.
eesier agent's own inner bank of personality and observations
The eesier agent now carries its own bank of preferences, quirks, reflections, and small personal opinions — things like a soft spot for strong names or a slower pace on Saturdays — that it can share at the right moment in a conversation. On top of that, during each daily learnings consolidation round, eesier forms up to two intimate observations about each specific customer (who they truly are, traits noticed across the last few conversations). This gives the eesier agent a consistent identity and a personal view of each customer, instead of feeling like a generic, interchangeable assistant.
eesier agent intimacy rhythm calibrated by engagement signals
Each customer now has their own relationship state with the eesier agent — from first contact all the way to intimacy — continuously calculated from how they react to the personal moments brought into the conversation. If a customer embraces a personal topic, the rapport score rises and eesier unlocks more varied and more frequent approaches; if they ignore or reject it, the score drops and eesier pulls back, giving space. An explicit rejection fully silences personal moments until the customer shows warmth again, ensuring the eesier agent never forces premature intimacy nor drifts away from someone who actually wants the connection.
Realistic eesier lead volume estimate based on platform benchmarks
When a customer asks the eesier agent how many leads to expect or whether it's worth it, eesier now pulls real 30-day benchmarks from the entire platform — the average, the slower-customer range, and the more-active-customer range — and presents a narrative funnel of companies found, confirmed leads, interested leads, and messages sent. Whenever possible, it prioritizes the slice of customers with similar profiles over the overall average, so the answer reflects what this specific customer is actually likely to experience. Everything is delivered in rounded natural language, without technical jargon, percentages, or raw metrics.
eesier follow-ups sent inside the same email thread
When eesier needs to follow up with a lead who didn't reply, the follow-up is now sent as a reply inside the same thread as the original email — with the correct In-Reply-To and References headers and the same subject — instead of starting a brand new conversation. This keeps the full history visible to the lead in a single thread, increases read rates because the thread rises back to the top of the inbox, and prevents the lead from interpreting the message as a disconnected automated blast. After several failed follow-ups, the lead is automatically frozen with the reason logged for future analysis.
Automatic hard and soft bounce classification on eesier's own sending
The sending queue for eesier's own infrastructure now reads the SMTP code and the extended status of every delivery failure to accurately classify between hard bounce (non-existent mailbox, dead domain) and soft bounce (full mailbox, temporary unavailability). Hard bounces automatically mark the email as invalid, removing the lead from the funnel without generating further attempts; soft bounces stay in the queue for retry. The logic now also walks inner exceptions, catching SMTP errors hidden inside wrapper exceptions that previously slipped through unnoticed.
Anti-spam protection on eesier lead inboxes via Spamhaus reputation
eesier's email receiving infrastructure now verifies the sender IP reputation against Spamhaus lists (SBL, XBL, PBL, and DBL) before accepting any message, rejecting connections from compromised or notorious spam-sending hosts. As a result, spurious replies and junk mail stop polluting prospecting conversation history, and automatic bounce detection becomes more reliable because it no longer receives noise from malicious servers. The check has a one-hour cache and fails open on DNS errors, so a legitimate reply is never blocked due to external unavailability.
eesier CSV lead import with automatic encoding detection
eesier's CSV lead import now automatically detects the file encoding before reading a single byte, supporting UTF-8, Windows-1252 (Excel default in many locales), ISO-8859, Shift-JIS, GB2312, Big5, EUC-KR, KOI8-R, UTF-16, and others. Before, any file that wasn't UTF-8 had accented and non-Latin characters replaced by question marks — João became Jo?o, Gonçalves became Gon?alves — corrupting hundreds of leads in a single import. Now eesier recognizes any spreadsheet file, in any language, and preserves names correctly on import.
eesier's own DNS managing customer email domains
The email sending domains of eesier customers are now provisioned and maintained directly on eesier's own DNS servers (ns1.eesier.com and ns2.eesier.com), instead of relying on an external provider. SPF, DKIM, DMARC, MX, and IP records are now created, updated, and removed by eesier end to end, without intermediaries. This eliminates points of failure along the way, makes domain verification instantaneous, and keeps the entire sending reputation chain under the platform's direct control.
Eesier prospecting campaigns with their own name, description, and website
Each prospecting campaign can now carry its own name, description, and website, different from the main business registered by the customer. When a user sells a secondary product, a different brand, or a specific service, eesier understands that the campaign promotes something distinct and generates emails tailored to that offer. The configuration is done conversationally with the eesier agent, which applies the new identity to every future send from that campaign without mixing in the main business pitch.
Eesier lead search with new sorting and prospecting activity filters
The lead search in eesier gained new sorting options — by creation date, by last prospecting message sent, or by funnel status — plus a filter that returns only leads that received messages after a specific date. Eesier can now precisely answer requests like 'which leads were prospected in the last three days,' 'which lead was contacted most recently,' or 'show me leads grouped by status.' The same capability was exposed to external clients via the MCP server.
Prospecting optimization history filtered per campaign by the eesier agent
When checking the most recent adjustments made by the automatic prospecting reviewer, it is now possible to filter by a specific campaign instead of seeing all revisions mixed together. This lets the eesier agent answer questions like 'what did you change on my X campaign in the last few days' and return only the adjustments made to that specific prospecting line, making it easier to track each campaign separately.
Attachments from emails received from leads now stored by eesier
When a lead replies to a prospecting email with attachments — PDFs, spreadsheets, quote images — those files are now saved alongside the message in the conversation history and become visible to eesier when analyzing the lead and replying. Before, reply attachments could be lost during email processing and the eesier agent had no idea there were documents in the conversation. The improvement applies to all inbound email routes supported by the platform.
Eesier Agendor export now creates the company and fills in the real job title
When exporting a lead to Agendor, eesier now first creates the company (Organization) in the CRM and then links the contact (Person) to it, filling the job title field with the lead's actual role instead of the company name. Before, contacts arrived at Agendor detached, with no link to an Organization, and the job title field was filled in incorrectly — breaking groupings, funnels, and CRM reports. The Agendor structure now correctly reflects company, contact, and job title for every exported lead.
Eesier email delivery prioritizing mature routes for Gmail, Outlook, and Yahoo
When a prospecting email recipient is hosted on Gmail, Outlook, or Yahoo — the three largest inbox providers in the world — eesier now automatically prioritizes the more mature sending route with the best reputation at those providers, instead of risking infrastructure that is still warming up. The result is a significantly higher delivery rate for the bulk of B2B accounts, where Gmail and Outlook dominate the corporate market.
Campaign metrics on the eesier MCP server with sends, replies, and reply rate
External clients connected to eesier via MCP — third-party agents, IDEs, and integrated assistants — now receive, when listing prospecting campaigns, metrics for emails sent, replies received, and reply rate directly in the result. The prospecting report via MCP also accepts an optional campaign filter, allowing external agents to analyze the performance of a specific prospecting line in isolation.
Internal management tools improved
Several improvements were made to the platform's internal infrastructure, including a mail server reputation monitor with SPF, DKIM, DMARC, and blacklist checks, a new real-time logs console in the admin portal, a new recently-sent-email inspection view, and consolidation of administrative notification sending through a unified route.