Build multi-step sequences across email, LinkedIn, and Telegram with approval workflow, reply handling, A/B testing, and per-step templates. One campaign, multiple channels, orchestrated from one place.
Design multi-touch sequences that move across channels: email on day 1, LinkedIn message on day 3, Telegram follow-up on day 7, email follow-up on day 10. Each step has its own template, delay, and channel. Every send goes through an approval queue before going out — nothing leaves without your review.
Powered by campaigns.py module with round-robin SMTP rotation
Design sequences that move prospects across email, LinkedIn, and Telegram — each step a different channel, a different angle, all managed from a single campaign view. Your team executes without switching tools.
See open rates, click rates, and reply rates per channel and per step. A/B test subject lines and message bodies. Know which channel drives the most replies for each segment.
Run small batches with A/B variants, see results per channel, then scale what works. Approval workflow means you review every message before it reaches a prospect — no surprises.
Mailchimp is email-only — you can send newsletters and automated email sequences, but you can't reach prospects on LinkedIn or Telegram from the same campaign. PQ Intel lets you build sequences that cross channels: an email on day 1, a LinkedIn message on day 3, a Telegram note on day 7 — all in one campaign, with reply classification that works regardless of which channel the prospect responds on.
Multi-channel sequences — email, LinkedIn, Telegram — with per-step templates, approval workflow, A/B testing, reply classification, and SMTP health monitoring. One campaign, multiple channels.
Email-only campaigns. No LinkedIn, no Telegram. No reply classification, no signal-anchored drafts, no SMTP infrastructure management for cold email.
Choose a prospect list from Contact Discovery or Signal Monitoring. Filter by ICP score, industry, or engagement history. Your list becomes the seed for the entire campaign.
Add steps — each with a channel (email, LinkedIn, Telegram), a template, and a delay (1–30 days). Enable A/B testing per step to compare subject lines or message bodies. Label each step for your team's reference.
Set who approves what — all steps, first send only, or per-channel. Approvers review each message in the queue, see the template and prospect context, then approve, edit, or reject. Nothing sends without approval.
Campaign runs on schedule. Each step fires at its configured delay. Monitor real-time open, click, and reply rates per channel. Replies are classified automatically — "Interested" triggers stage advancement, "Not Now" pauses the sequence, "Meeting" routes to your Pipeline Kanban.
Review per-step analytics, compare A/B test results at 95% confidence, and identify which channel drives the most engagement. Use learnings to iterate your next campaign.
A SaaS company like Vercel has 200+ deals stuck in late-stage pipeline with no activity in 60+ days. They build a 3-step re-engagement campaign: an email with a new case study (day 1), a LinkedIn message referencing the original conversation (day 4), and a Telegram note with a time-sensitive offer (day 8). Reply classification surfaces the 15% who re-engage, routing them back to active pipeline stages.
Datadog's SDR team monitors signals about infrastructure monitoring pain points. When a prospect's CTO posts about observability challenges on LinkedIn, the signal triggers a campaign: a same-day email referencing their post with a relevant resource, a LinkedIn follow-up three days later, and a Telegram check-in at day 10. The campaign starts from a real conversation, not a cold template.
Snowflake's sales team targets 50 named enterprise accounts. Each account gets a custom 5-step sequence reaching 3-4 stakeholders per account across email, LinkedIn, and Telegram. Approval workflow ensures legal reviews every message. A/B testing on email subject lines optimizes for the finance vertical vs. the engineering vertical — all from one campaign dashboard.
Multi-Channel Campaigns integrates deeply with every part of PQ Intel. Your signal feed feeds prospects into campaigns. Your pipeline tracks what happens after replies come in. Your brand voice keeps messaging consistent.
This feature works best alongside:
Track campaign engagement and deal outcomes side by side.
Build prospect lists to feed into multi-channel campaigns.
Keep campaign messaging consistent across channels.
Trigger campaigns from real-time market signals.
Score prospects before they enter your campaign sequence.
Enrich prospect data before sending your first message.
Email sequences, LinkedIn messages, Telegram messages, and combined multi-channel sequences that move prospects through different channels at different stages.
Manual approval before sending. Manager reviews sequence and targeting. Approvers see each message in the queue with prospect context, template preview, and channel selection. They can approve, request edits, or reject with notes.
Yes. A/B testing with statistical significance tracking at 95% confidence threshold. Test subject lines, message bodies, CTAs, and sending times per step. Results are displayed per variant with clear winner designation.
NLP classifies replies into categories: Interested, Meeting Request, Not Now, Out of Office, or Unsubscribe. Positive classifications trigger stage moves and can create pipeline cards. Negative or neutral replies pause the sequence for that prospect.
Yes. Multi-provider support for your own domains and servers. Configure SMTP settings per sending profile with round-robin rotation, per-provider send limits, and deliverability health monitoring to protect sender reputation.
Monitors deliverability, bounce rates, and sender reputation per provider. Alerts you when bounce rates exceed thresholds or when warm-up phases need adjustment. Helps protect your domain reputation across campaigns.
Yes. Campaigns can be triggered automatically when a prospect's signal score crosses a threshold, when an ICP match is detected, or when a contact is added to a specific list. This enables real-time response to market signals without manual list management.
Bounces are automatically tracked per address. Addresses with repeated bounces are paused and flagged for review. Campaign analytics include bounce-rate breakdowns per provider and per domain to identify infrastructure issues early.
Per-campaign analytics include open rates, click rates, reply rates, bounce rates, stage progression funnels, A/B test results with statistical significance, channel-level breakdowns, and prospect-level engagement timelines.
PQ Intel supports importing prospect lists via CSV and template creation through the UI. For custom migration needs, our API and webhooks enable programmatic campaign creation and prospect import from tools like Outreach, SalesLoft, or your own CRM.
Email, LinkedIn, Telegram — one campaign, one approval flow, one dashboard.