Sophisticated sales engagement platform that generates highly personalized cold email campaigns using AI-powered prospect research, proven frameworks, and advanced deliverability optimization.
Hi Sarah,
Saw TechCorp just closed $45M Series B - congrats! I noticed you're scaling the sales team (15+ openings on LinkedIn).
Most VP Sales we work with struggle with the same thing during hypergrowth: reps spending 4+ hours/day on manual email personalization instead of selling.
We helped CloudScale 3x their meetings booked while cutting research time by 78%.
Worth a 15min chat? I can show you exactly how we'd approach your team.
Best,
Your Name
97% of cold emails never get a response. Prospects can spot a mass email instantly - templated subject lines, generic value props, and zero personalization mean your emails go straight to trash. The average professional receives 120+ emails daily and has become expert at filtering out anything that doesn't feel personally relevant.
Your sales reps spend 4-6 hours daily researching prospects on LinkedIn, scanning company websites, reading news articles, and finding relevant talking points. That's 60-75% of their day on research instead of actual selling. For a 10-person sales team, that's 200+ hours weekly - equivalent to 5 full-time employees - spent on pre-email research alone.
Even when you craft perfect emails, 30-40% never reach the inbox. They're filtered to spam by overzealous filters, blocked by domain reputation issues, or trigger spam words you didn't know existed. You're burning your domain reputation with every campaign, making each subsequent send less effective. Without proper warmup, authentication, and content optimization, you're fighting an uphill battle.
80% of sales require 5+ touchpoints, but most teams send 1-2 emails and give up. Without a strategic sequence, varied messaging approaches, and intelligent timing, you're leaving 80% of potential meetings on the table. Manual follow-up tracking is impossible at scale - reps forget who they've contacted, when to follow up, and what angle to try next.
Your top performer books 15 meetings weekly with brilliant, personalized outreach. Your average rep books 3. There's no system to capture what works, share best practices, or ensure consistent quality. Every rep reinvents the wheel, learning through trial and error. Onboarding new sellers takes 3-6 months before they're producing results, and even then, quality varies wildly.
You're flying blind. Which subject lines get opened? What messaging resonates with CTOs vs VPs of Sales? Do case studies or ROI stats drive more replies? Without granular analytics and A/B testing, you're guessing. You can't optimize what you can't measure, and most teams have zero visibility into why some campaigns crush and others flop.
Hilom researches your prospects, generates hyper-personalized email sequences using proven frameworks, and optimizes every element for maximum reply rates and inbox placement.
Scans LinkedIn profiles, company websites, news articles, funding announcements, social media, and business databases to find relevant talking points in seconds
Employs PAS (Problem-Agitate-Solution), BAB (Before-After-Bridge), and AIDA frameworks with conversational tone that avoids sounding salesy or generic
Generates 3-7 email sequences with strategic timing, varied approaches (value-first, case study, breakup, question-based), and A/B testing variants
Email warmup protocols, spam score checking, domain health monitoring, and sender rotation to ensure 90%+ inbox placement rates
Tracks opens, clicks, replies with detailed insights showing which subject lines and messaging approaches drive best response rates for different personas
Analyzes successful emails from your team to learn what messaging resonates, continuously improving recommendations based on real performance data
Import prospects from your CRM, CSV file, or LinkedIn Sales Navigator. Just provide basic info like name, company, and LinkedIn URL. Hilom handles the rest. Our system integrates with Salesforce, HubSpot, Pipedrive, and 40+ other CRMs for seamless data sync. You can also use our Chrome extension to add prospects while browsing LinkedIn, or bulk upload via CSV with our intelligent field mapping.
Our AI engine automatically researches every prospect using publicly available information from LinkedIn profiles, company websites, news articles, press releases, funding announcements, social media activity, podcast appearances, conference talks, and business databases. It identifies recent achievements, role-specific pain points, company initiatives, hiring signals, funding rounds, shared connections, alma maters, and relevant industry challenges. This happens in seconds, not hours.
Hilom creates complete 3-7 email sequences for each prospect using proven cold email frameworks including PAS (Problem-Agitate-Solution), BAB (Before-After-Bridge), and AIDA. Each email includes personal icebreakers referencing their specific situation, relevant pain point identification, concise value proposition, social proof from similar companies or roles, and clear call-to-action focused on booking a call. The system varies approaches across emails (value-first, case study, breakup email, question-based) and generates A/B testing variants to optimize for reply rates.
Before sending, Hilom checks spam scores, optimizes send times based on recipient time zones, and uses email warmup protocols to maximize deliverability. The platform sends emails through sender rotation to distribute volume, monitors domain health to protect your reputation, and automatically manages follow-ups - only sending the next email if the previous one wasn't replied to. Track opens, clicks, and replies with detailed analytics showing which subject lines and messaging approaches drive the best response rates for different personas and industries.
Every email starts with a genuinely personal touch. Hilom references specific details like recent funding rounds, conference appearances, podcast interviews, shared alma maters, mutual connections, role changes, company expansions, or social media posts. These aren't generic templates - they're contextually relevant openers that prove you've done your homework. The AI understands the difference between meaningful personalization (congratulating on a relevant achievement) and superficial flattery (nice shirt!). Recipients immediately know this email was crafted specifically for them.
Hilom analyzes industry trends, company stage, role responsibilities, and recent activities to identify the specific pain points your prospect is likely facing. For a VP Sales at a Series B company hiring 15 reps, it highlights scaling challenges and rep productivity. For a CRO at an enterprise company, it focuses on forecast accuracy and pipeline visibility. The platform uses a database of role-specific and industry-specific pain points validated across 100,000+ successful cold emails, ensuring your message resonates with their actual problems, not generic pain points.
The platform employs battle-tested cold email frameworks that have generated millions in pipeline. PAS (Problem-Agitate-Solution) identifies their pain, emphasizes the cost of inaction, then presents your solution. BAB (Before-After-Bridge) paints their current state, describes the desired outcome, then bridges the gap with your offering. AIDA (Attention-Interest-Desire-Action) grabs attention with a compelling hook, builds interest with relevant details, creates desire with social proof, and drives action with a clear CTA. Hilom knows which framework works best for each persona and situation.
80% of sales require 5+ touchpoints, so Hilom generates complete 3-7 email sequences with strategic timing and varied approaches. Email 1 is a personal icebreaker establishing relevance. Email 2 adds value with an insight, article, or resource. Email 3 shares a case study from a similar company. Email 4 asks a thought-provoking question. Email 5 leverages social proof from comparable roles. Email 6 tries a different angle or asks if you're talking to the wrong person. Email 7 is a polite breakup email. Each email stands alone but builds on the narrative, increasing response probability.
Never wonder which approach works better. Hilom automatically generates A/B testing variants for subject lines, opening lines, value propositions, CTAs, and email length. Test short (under 75 words) vs medium (75-150 words) emails. Test question-based subject lines vs statement-based. Test leading with pain vs leading with social proof. The system tracks performance across all variants and automatically shifts traffic to winning variations. Over time, it learns which approaches work best for different personas, industries, and company stages, continuously optimizing your campaigns.
When you send matters as much as what you send. Hilom analyzes recipient time zones and historical engagement data to send emails at optimal times. For most B2B prospects, that's Tuesday-Thursday between 8-10am or 2-3pm in their local timezone - after they've cleared urgent morning emails but before end-of-day fatigue sets in. The system avoids Mondays (inbox overload), Fridays (mentally checked out), and weekends (low engagement). For follow-ups, it spaces emails strategically: 2-3 days after email 1, then 3-4 days, gradually extending to avoid annoying prospects.
Track every metric that matters: inbox placement rate, open rate, click rate, reply rate, positive reply rate, bounce rate, and meetings booked. Break down performance by persona (VP Sales vs CRO vs Director), industry (SaaS vs FinTech vs Healthcare), company size (SMB vs Mid-Market vs Enterprise), email position in sequence (email 1 vs email 4), subject line type, send time, and sender. Identify which frameworks drive replies for different audiences. See which case studies resonate most. Understand optimal email length for each persona. Export detailed reports for stakeholders.
New email accounts that immediately send 500 cold emails get flagged as spam. Hilom includes automated email warmup that gradually increases your sending volume, exchanges emails with a network of real inboxes to build positive sender reputation, ensures emails land in primary inbox not promotions, and maintains conversations to signal legitimate sending behavior. The warmup process takes 2-4 weeks depending on your target volume, slowly ramping from 10 emails/day to your desired capacity while maintaining high engagement rates that signal legitimate sending to email providers.
Before sending any email, Hilom runs it through comprehensive spam score analysis checking for spam trigger words (free, guarantee, limited time), suspicious link patterns, image-to-text ratio, sender authentication (SPF, DKIM, DMARC), domain reputation, content structure, and formatting issues. Emails scoring above safe thresholds get automatically rewritten to avoid spam filters while maintaining the core message. The system also checks for common deliverability killers like too many links, tracking pixels without proper text, ALL CAPS SUBJECT LINES, excessive exclamation points!!!, and attachments in cold emails.
Protect your domain reputation by distributing sending across multiple team members. Hilom rotates between configured sender accounts to keep individual sending volumes within safe limits (typically 50-100 cold emails per account per day). When Sarah's account hits the daily limit, the system automatically switches to John's account for the next batch. This prevents any single email address from being flagged as a spam source, maintains healthy sender reputation across your team, and allows you to scale outreach volume without sacrificing deliverability.
Your domain reputation is precious. Hilom continuously monitors sender score, blacklist status, bounce rates, spam complaint rates, and engagement metrics. If your domain health starts degrading, the system alerts you immediately and automatically throttles sending to prevent further damage. It checks your SPF, DKIM, and DMARC configuration to ensure proper authentication. It monitors feedback loops from major email providers to catch spam complaints early. It tracks bounce rates by type (hard bounce vs soft bounce vs invalid) and automatically removes problematic addresses.
Go beyond simple mail merge. Hilom dynamically inserts content blocks based on prospect attributes. If they're in SaaS, include a SaaS-specific case study. If they raised funding recently, reference capital efficiency. If they're hiring, mention team scaling challenges. If they attended a specific conference, reference insights from that event. The system maintains a library of modular content blocks (pain points, case studies, stats, social proof) and intelligently selects the most relevant combination for each prospect. This creates truly customized emails at scale without manual assembly.
Hilom gets smarter with every campaign. It analyzes successful emails from your team to identify patterns - which subject lines drive opens for CTOs vs CFOs, what email length works best for enterprise vs SMB, which pain points resonate in different industries, what tone generates positive replies vs requests to unsubscribe. The machine learning model continuously improves its recommendations based on your specific audience and product. It learns your brand voice by analyzing emails your team manually writes. Over time, the AI generates emails that sound increasingly like your top performers.
Extract maximum insight from LinkedIn profiles. Hilom analyzes profile headlines, about sections, experience history, education background, skills endorsements, recommendations, posts and articles, engagement patterns, shared connections, and group memberships. It identifies career trajectory (individual contributor to manager to executive), job tenure (just started vs long-tenured), company hopping patterns, skill gaps, and personal interests. This depth of analysis enables truly personalized outreach that references specific career moments, shared experiences, or professional interests that generic tools miss.
Perfect timing beats perfect messaging. Hilom monitors company news feeds, press releases, funding announcements, hiring activity, product launches, executive changes, office expansions, and industry awards. When a prospect's company announces Series B funding, Hilom automatically triggers outreach congratulating them and offering to help with scaling challenges. When they're hiring 20 engineers, it's the perfect time to reach out about productivity tools. When they launch a new product, reference it in your email. Real-time news monitoring creates natural conversation starters and demonstrates you're paying attention.
Not all replies are equal. Hilom automatically categorizes responses into interested (let's talk), not interested (not a fit), not now (timing issue), out of office (auto-reply), question (needs clarification), and referral (talk to someone else). For each category, it suggests appropriate response templates. Interested replies get routed to your calendar booking link. Not now replies get tagged for follow-up in 3 months. Referrals get added to your prospect list with warm intro context. Questions get thoughtful responses. This automation ensures no reply falls through the cracks and appropriate follow-up happens instantly.
Seamlessly sync with Salesforce, HubSpot, Pipedrive, Copper, Zoho, and 40+ other CRMs. Automatically import leads and contacts, sync email activities and responses back to contact records, update lead scores based on engagement, create tasks for sales reps when prospects reply, log meetings booked, and track campaign attribution. Bi-directional sync ensures your CRM is always up to date without manual data entry. Custom field mapping allows you to leverage any CRM data in your email personalization. Real-time webhooks trigger instant updates across systems.
Follow-ups are where deals happen, but manual tracking is impossible. Hilom automatically sends the next email in your sequence only if the previous one wasn't replied to. If they respond, the sequence stops immediately - no awkward follow-ups after they've already engaged. If they open but don't reply, it adjusts timing to send the next email sooner. If they don't open, it tries a different subject line approach. If they click but don't reply, it knows they're interested and adjusts messaging accordingly. Smart logic ensures you're persistent without being annoying.
Build a library of case studies, testimonials, metrics, logos, and customer stories that Hilom automatically matches to each prospect. When reaching out to a VP Sales in SaaS, it pulls your SaaS customer success story. When targeting healthcare, it references your healthcare client. The system maintains detailed metadata for each piece of social proof (industry, company size, role, problem solved, results achieved) and intelligently selects the most relevant proof point for each email. This ensures every prospect sees evidence from someone like them, dramatically increasing credibility.
Not all prospects are equal. Hilom assigns engagement scores based on email opens, link clicks, time spent reading, reply sentiment, calendar availability checks, and repeat engagement. High engagement scores (opened 3+ emails, clicked multiple links, replied with questions) indicate hot prospects that deserve immediate sales attention. Medium scores (opened but didn't click) warrant continued nurturing. Low scores (no opens across 4 emails) suggest it's time to try a different angle or move on. This scoring helps sales teams prioritize their time on prospects showing genuine interest.
Sales is a team sport. Hilom enables multiple team members to collaborate on campaigns with shared templates, unified analytics, internal comments on prospects, sequence approvals for new reps, best practice sharing, and performance leaderboards. Managers can review sequences before they go out, see which reps are generating the best reply rates, identify top-performing messaging for training purposes, and ensure brand consistency across the team. New reps can learn from top performers by seeing their successful emails and adopting proven approaches.
Send emails when prospects are most likely to engage. Hilom automatically detects recipient time zones from email domains, area codes, LinkedIn locations, and IP data. It schedules sends for optimal times in their local timezone - typically Tuesday-Thursday mornings or early afternoons when inbox attention is highest. No more accidentally emailing West Coast prospects at 5am their time or European prospects late on Friday evening. The system respects business hours and cultural norms, ensuring your emails arrive at the perfect moment for maximum attention.
The holy grail of cold email - making every message feel handcrafted while reaching thousands of prospects. Traditional mail merge just swaps in first names and companies. Hilom goes exponentially deeper, analyzing each prospect's LinkedIn activity, recent company news, hiring patterns, funding events, technology stack, competitive landscape, and industry challenges to craft emails that feel personally researched. The system maintains context across entire sequences so email 3 naturally builds on insights from email 1, creating coherent narratives rather than disconnected messages.
Our dynamic content system maintains libraries of modular components - pain points, case studies, statistics, social proof, value propositions - each tagged with relevant metadata. When generating an email for a VP Sales at a 100-person SaaS company that just raised Series B, it automatically assembles the most relevant combination: scaling pain points, case studies from similar-stage companies, stats on rep productivity challenges during hypergrowth, and social proof from other VP Sales. The result feels custom-written without the time investment.
Perfect emails are worthless if they hit spam folders. Hilom treats deliverability as a first-class feature with comprehensive email warmup, authentication management, content optimization, and reputation monitoring. Before your first campaign sends, our warmup system gradually increases volume over 2-4 weeks, exchanges emails with real inboxes to build positive engagement history, and establishes sender reputation that signals legitimate sending to email providers.
Every email undergoes pre-send validation checking for spam trigger words, suspicious patterns, proper authentication (SPF, DKIM, DMARC), link safety, image ratios, and content structure. Our spam scoring algorithm mirrors how Gmail, Outlook, and other providers filter emails, catching issues before they impact deliverability. Domain health monitoring tracks sender score across major providers, monitors blacklist status, watches bounce and complaint rates, and alerts you to reputation issues before they become serious problems.
The platform implements sender rotation to distribute volume across team members, prevents any single account from exceeding safe sending limits (50-100 cold emails per day per domain), manages IP reputation for dedicated sending infrastructure, and maintains separate domains for cold outreach vs transactional email. This multi-layered approach consistently achieves 90%+ inbox placement rates even at scale.
Most cold email campaigns fail because they give up too early or follow up too aggressively. Hilom implements sophisticated sequence logic that balances persistence with respect. The system tracks engagement signals - opens, clicks, time-to-open, scroll depth, link clicks, and calendar checks - to dynamically adjust follow-up timing and approach. If a prospect opens your first email within an hour but doesn't reply, the system knows they're interested and adjusts the second touchpoint to arrive sooner with a different angle.
Sequence emails use varied frameworks to avoid feeling repetitive. Email 1 is a personal icebreaker. Email 2 adds value with insights or resources (no ask). Email 3 shares a relevant case study. Email 4 poses a thought-provoking question. Email 5 leverages social proof from similar companies. Email 6 tries a different angle or confirms you're contacting the right person. Email 7 is a polite breakup email that often generates replies through FOMO. Each email stands alone in case it's the only one they read, but together they tell a coherent story.
The platform automatically stops sequences when prospects reply, preventing awkward follow-ups after engagement. It detects out-of-office replies and pauses sequences until they return. It identifies not interested signals and removes prospects from further outreach. It recognizes referrals and creates new prospects with warm intro context. This intelligent management ensures you're persistent without being annoying, respectful without being passive.
Hilom doesn't just send emails - it learns from every campaign to continuously improve performance. The analytics engine tracks granular metrics across multiple dimensions: persona type, industry vertical, company size, email position in sequence, subject line style, email length, time of day sent, sender identity, and content approach. This multi-dimensional analysis reveals insights impossible to spot manually.
For example, you might discover that CTOs respond better to technical deep-dives while CEOs prefer high-level ROI discussions. That enterprise prospects need 6+ touchpoints while SMB prospects respond by email 3. That question-based subject lines outperform statement-based by 28% for prospects in financial services. That case studies drive 2.3x more replies than feature explanations for mid-market companies. These insights automatically feed back into the email generation engine, making every subsequent campaign smarter.
The machine learning model analyzes successful emails to identify patterns in structure, tone, content, and timing. It learns which pain points resonate for different personas, what social proof drives credibility, which CTAs generate meetings, and what email length optimizes for replies without overwhelming prospects. Over time, the system develops a sophisticated understanding of your specific market, product positioning, and buyer psychology - generating emails that sound like your top sales reps wrote them.
Equip your SDR team with AI-powered research and personalized email sequences that book 3x more meetings. New reps achieve productivity in weeks instead of months by leveraging proven messaging templates and automated research. Sales leadership gains visibility into what's working across the team and can quickly replicate top performer strategies. Replace hours of manual LinkedIn research with seconds of AI analysis, allowing reps to focus on high-value activities like phone calls and relationship building.
Execute hyper-personalized ABM campaigns at scale. Target specific accounts with tailored messaging that references their unique challenges, recent company news, and competitive landscape. Coordinate multi-threaded outreach across different personas within target accounts - reaching the VP Sales with rep productivity messaging while engaging the CRO with pipeline visibility benefits. Track engagement across the entire buying committee and identify which accounts are warming up based on aggregate engagement signals.
Build strategic partnerships by reaching out to potential integration partners, channel partners, and co-marketing opportunities with personalized value propositions. Reference their technology stack, customer base, and go-to-market strategy to demonstrate genuine partnership fit. Move beyond generic partnership inquiries to specific collaboration proposals based on deep research into their business model, target market, and growth initiatives. Track responses across partnership types to understand which relationships are most receptive.
Reach potential investors with tailored pitches that align with their investment thesis, portfolio companies, and market focus. Reference their recent investments, fund focus areas, and public statements about market trends. Craft compelling narratives that position your company within their strategic interests. Track engagement to understand which investors are actively reviewing materials and prioritize warm relationships for deeper conversations. Maintain professional cadence that respects their time while demonstrating traction.
Maximize ROI from industry events by reaching out to attendees before, during, and after conferences. Send pre-event emails proposing meeting times, day-of reminders with booth locations, and post-event follow-ups referencing conversations or sessions attended. Personalize outreach based on their speaking engagements, panel participation, or networking activity. Track which events and outreach timing generates the most meeting conversions to optimize future conference strategies.
Identify upsell and cross-sell opportunities within your existing customer base by monitoring usage patterns, team growth, and new pain points. Reach out to different personas within customer accounts with tailored expansion proposals based on their specific role and challenges. Reference their current product usage, success metrics, and team feedback to demonstrate deep account knowledge. Coordinate account expansion campaigns across customer success, account management, and sales teams with unified messaging and tracking.
Most sales teams waste 60-75% of their time on manual research and email personalization. Calculate how much time and pipeline Hilom can unlock for your team.
Traditional mail merge simply swaps in basic fields like {FirstName} and {Company}. Hilom's AI researches each prospect across 15+ data sources including LinkedIn, company websites, news articles, funding announcements, and social media to find genuinely relevant talking points. Instead of "Hi {FirstName}, I see you work at {Company}" it generates "Hi Sarah, saw TechCorp just closed $45M Series B and you're scaling the sales team (15+ openings on LinkedIn)." The difference is depth - referencing specific, recent, relevant details that prove you've done real research, not just swapped in a name.
Beyond personalization depth, Hilom maintains context across entire sequences. Email 3 naturally builds on insights from email 1, creating coherent narratives rather than disconnected messages. It dynamically assembles modular content blocks (pain points, case studies, social proof) based on prospect attributes, and continuously learns from successful emails to improve recommendations. This creates genuinely personalized emails at scale, not just templated blasts with names inserted.
Hilom customers average 94% inbox placement rate, significantly higher than the industry average of 60-70% for cold email campaigns. We achieve this through comprehensive email warmup (gradually building sender reputation over 2-4 weeks), automated spam score checking before every send, proper email authentication (SPF, DKIM, DMARC configuration), sender rotation to distribute volume, domain health monitoring, and content optimization to avoid spam triggers.
The platform implements intelligent sending patterns that mimic human behavior rather than bulk sending, respects individual account limits (typically 50-100 cold emails per domain per day), and maintains separate infrastructure for cold outreach vs transactional email to protect your primary domain. We also provide detailed deliverability reports showing inbox placement by provider (Gmail, Outlook, etc.) and alerts when reputation issues emerge, allowing you to address problems before they impact campaigns.
Email warmup typically takes 2-4 weeks depending on your target sending volume. For teams planning to send 50 emails per day per account, 2-3 weeks is usually sufficient. For higher volumes (100+ emails daily), we recommend 3-4 weeks. The warmup process gradually increases sending from 10 emails per day in week 1, to 25 in week 2, 50 in week 3, and full volume by week 4. During warmup, emails are exchanged with a network of real inboxes to build positive engagement history and sender reputation.
While warmup requires patience, it's essential for long-term deliverability. New domains that immediately send hundreds of cold emails get flagged as spam sources and permanently damage sender reputation. Proper warmup establishes your domain as a legitimate sender, dramatically improving inbox placement for all future campaigns. We handle the entire warmup process automatically - you just need to connect your sending accounts and let the system build your reputation before launching campaigns.
Absolutely. Hilom offers flexible workflows for different team needs. You can set campaigns to manual review mode where generated emails appear in a review queue requiring approval before sending. This is great for new team members, highly regulated industries, or when you want extra control. Review mode shows the AI-generated email alongside the prospect research that informed it, making it easy to verify accuracy and relevance before approving.
More experienced teams typically use automatic sending with spot-check reviews, where the system sends emails automatically but you can review a sample to ensure quality remains high. You can also set approval workflows where manager approval is required for certain prospect tiers (executive level, enterprise accounts) while SDRs can auto-send to lower tiers. The platform tracks which emails get edited before sending and learns from your changes to improve future generation, gradually requiring less manual editing over time.
Hilom integrates with 40+ CRMs including Salesforce, HubSpot, Pipedrive, Copper, Zoho, and Microsoft Dynamics through native integrations and APIs. The integration is bi-directional, meaning data syncs both ways automatically. You can import leads and contacts from your CRM with one click, leveraging existing data for personalization. All email activities (sends, opens, clicks, replies) automatically log back to the contact record in your CRM, giving your team full visibility without manual data entry.
When a prospect replies, Hilom updates their lead status, creates tasks for sales reps, and can trigger workflows in your CRM (moving them to a different pipeline stage, assigning to an AE, etc.). Meetings booked through campaigns automatically create calendar events and log activities. You can also leverage custom fields from your CRM in email personalization - if you track industry, company size, or product interest in your CRM, Hilom can use that data to further customize emails. The integration setup typically takes 10-15 minutes with step-by-step guidance.
Yes, absolutely. Hilom automatically detects replies and immediately stops the sequence to prevent awkward follow-ups after someone has engaged. The system monitors your inbox for replies in real-time and pauses all pending emails for that prospect. It also categorizes the reply type (interested, not interested, not now, out of office, question, referral) and suggests appropriate next steps or response templates based on the category.
For interested replies, the system alerts the assigned rep immediately and provides quick-action options like sending a calendar link. For "not now" replies, it tags the prospect for follow-up in 3-6 months based on their response. For referrals ("talk to my colleague instead"), it creates a new prospect with warm intro context. For out-of-office replies, it automatically pauses the sequence until their return date. This intelligent reply handling ensures every response gets appropriate attention without manual monitoring.
Hilom defaults to 5-7 email sequences based on data showing that 80% of sales require 5+ touchpoints. However, the optimal length depends on your market, deal size, and buyer persona. For SMB prospects with shorter sales cycles, 3-5 emails often suffice. For enterprise deals with longer consideration periods, 7-10 emails may be appropriate. The platform provides benchmark data showing typical sequence performance for your industry and deal size.
More important than length is the variety and timing of touches. Each email should offer new value or try a different approach - not just "following up on my previous email." Hilom automatically generates varied sequence emails: personal icebreaker, value-add resource, case study, thought-provoking question, social proof, different angle, and breakup email. This variety keeps your outreach fresh and gives prospects multiple reasons to engage. You can also A/B test sequence lengths to optimize for your specific audience.
Yes, Hilom includes compliance features for regulated industries. The platform supports mandatory approval workflows where legal or compliance teams review email templates before use. You can configure restricted word lists to prevent using terms that violate industry regulations. All emails include proper CAN-SPAM compliance (physical address, unsubscribe links, honest subject lines). GDPR controls allow you to exclude EU prospects or only contact those with documented legitimate interest. The system maintains detailed audit logs of all activities for compliance reporting.
For financial services, healthcare, and other highly regulated sectors, we recommend using Hilom's template library feature to pre-approve messaging frameworks, then letting AI personalize within those approved templates. This ensures compliance while still achieving personalization at scale. You can also set custom policies like requiring approval for emails mentioning specific topics, restricting outreach to certain personas, or adding legal disclaimers automatically. Our compliance tools give you control without sacrificing the efficiency benefits of automation.
Unsubscribe management is automatic and immediate. Every Hilom email includes a compliant unsubscribe link in the footer. When someone clicks unsubscribe, they're instantly removed from all active campaigns and added to a global suppression list that prevents them from receiving future emails across your entire organization. The system also detects unsubscribe requests sent via email reply ("please remove me from your list") and automatically processes them without requiring manual action.
Beyond explicit unsubscribes, Hilom respects engagement signals. If someone consistently doesn't open emails across multiple campaigns, the system automatically reduces outreach frequency or suggests removing them from lists. If you receive "not interested" replies, those prospects are tagged and can be automatically excluded from future campaigns. The platform maintains detailed unsubscribe reports showing rates by campaign, helping you identify when messaging isn't resonating before damaging your sender reputation. Clean list management protects deliverability and brand reputation.
Hilom researches prospects using publicly available information from multiple sources: LinkedIn profiles (current role, experience, education, posts, articles), company websites (about pages, news sections, blog posts, product info), news articles and press releases (funding, acquisitions, expansions, leadership changes), business databases (company size, industry, technology stack), social media activity (Twitter/X, Medium, personal blogs), podcast appearances, conference talks and webinars, job postings (hiring signals), and public reviews or case studies.
The AI doesn't just collect data - it synthesizes insights. It identifies career trajectory patterns (individual contributor to manager to executive), detects pain points from social media posts or interviews, recognizes buying signals (rapid hiring, funding, new initiatives), finds shared connections or experiences, and surfaces recent achievements worth congratulating on. This deep analysis happens in seconds, providing the context needed for genuinely personalized outreach without hours of manual research. All data comes from public sources - no scraping private databases or violating terms of service.
Absolutely. Hilom includes a social proof library where you upload case studies, customer testimonials, metrics, logos, and success stories. For each piece of social proof, you add metadata: customer industry, company size, role/persona, problem solved, solution provided, and results achieved. The AI then automatically matches the most relevant social proof to each prospect based on similarity.
When reaching out to a VP Sales at a 200-person SaaS company, Hilom pulls your case study from another VP Sales at a similar-sized SaaS company rather than an enterprise healthcare client. This contextual matching dramatically increases social proof credibility - prospects see evidence from someone like them, not generic customer logos. You can also create persona-specific proof libraries (executive decision-makers see ROI metrics, practitioners see product details) and continuously add new case studies as you close deals. The system tracks which social proof drives the most replies and prioritizes high-performing stories.
Hilom automatically generates A/B testing variants for key email elements: subject lines, opening lines, value propositions, email length, CTAs, and structural approach. You can test specific hypotheses (does mentioning ROI or efficiency resonate more?) or let the AI generate multiple variants based on proven frameworks. The system randomly assigns prospects to variants with configurable splits (50/50, 60/40, etc.) and tracks performance across each variation.
As data accumulates, Hilom shows which variant drives better open rates, click rates, and reply rates with statistical significance indicators. Once a clear winner emerges (typically after 100-200 sends per variant), the system can automatically shift traffic to the winning version or alert you to review results. Tests run continuously across campaigns, building a knowledge base of what works for your specific audience. You can test at the campaign level (which campaign generates more meetings?) or element level (which subject line gets more opens?). Detailed reports show performance breakdowns by persona, industry, and company size to understand nuanced results.
We offer a 14-day free trial with full platform access - no credit card required. This gives you time to import prospects, generate email sequences, review quality, and run initial campaigns before committing. During the trial, you have access to all features including AI research, email generation, deliverability tools, and analytics. Our team provides onboarding support to help you get set up quickly and see results within your trial period.
After trial, we offer monthly and annual subscription options with 30-day money-back guarantee. If you're not satisfied with Hilom within the first 30 days of paid subscription, we provide a full refund - no questions asked. We're confident in the platform's value and want you to have adequate time to evaluate ROI without risk. Most customers see measurable improvement in reply rates and meetings booked within the first 2-3 weeks of consistent use.
Join hundreds of sales teams using Hilom to generate highly personalized cold email campaigns that actually get responses. See how AI-powered research and proven frameworks can transform your outbound strategy.