One platform operating at every layer of the lifecycle, from the first anonymous visit to closed-won and beyond.
Twenty-two months in, Power Digital runs one of the most active Apollo sequencing programs in its segment. The question is no longer whether the foundation works. It is which adjacent layer extends it next.
Sequencing is solved. Your team runs the engagement layer at power-user scale. The gap is signal. An anonymous visitor today becomes a company-level identification. A form submission fills three fields. A contact reaches a sequence without a fit score attached. Every one of these is a place Apollo plugs in without displacing what you have.
Each layer feeds the one above it. Data powers scoring. Scoring powers engagement. Engagement powers intelligence. Every signal lands in Salesforce as the single source of truth.
Apollo's waterfall checks eighteen-plus third-party sources in cascade. Fall through for email, then phone, then technographic. The output is a single match request with the highest available hit rate. Your 49 sequences already run on this; the rest of the stack uses the same pipes.
CRM Enrichment syncs verified contact and company data back. Records stay current. No manual data hygiene.
Form enrichment fills qualifying fields before the prospect hits Chili Piper's scheduling surface. Cleaner routing, fewer bad meetings.
Enrichment actions run inside the Workflow Engine. Triggered by signal, scored against ICP, routed into sequences. One object model.
That activation is the signal. We treat it as a first data point. The structure below gets five reps working with AI-generated briefs every day, before pre-call prep becomes the bottleneck.
Size, industry, recent news, tech stack, funding.
Role, tenure, seniority, past titles, likely priorities.
Website visits, intent spikes, job changes, previous touches.
Pain-point-to-product map sourced from your Context Center.
Across the seven-stage journey, AI Research fires at every inflection: qualify handoff, pre-call prep, pre-meeting, post-meeting synthesis, job-change alert, expansion-persona surface.
A custom model reads your Salesforce closed-won history and your Apollo data. Every contact and account carries a real-time score against ICP fit, behavioral signal, and likelihood to convert. Routing flows from the score, not from the gut.
Marco's SDRs open Apollo at 8:30 AM and see the top-scored contacts first. Jessica's weekly cadence reviews team performance against scored-high segments, not raw volume. The scoring writes to Salesforce, the model retrains itself on closed outcomes, and the compound loop begins.
Today your inbound surface knows an account visited. We propose it also know who visited. Apollo's contact-level WVT pairs with form enrichment, inbound routing, and intent signal to surface a named person your team can reach, not a company string.
This is where your 49 sequences live. Where your team already spends the day. The adjacent moves make each sequence sharper, each dial more consequential, each automation run without a ticket to engineering.
Multi-step, multi-channel. Email, phone, LinkedIn, custom action. A/B testing native. 312,378 contacts added in L60D.
Click-to-call, power dialer, parallel dialer. Every call writes to Salesforce Activity on the right Contact and Opportunity.
Triggers on form abandon, job change, intent spike. Fires actions. No engineering tickets.
Drafts sequences in your voice, sourced from the Context Center. A/B test against human-written control weekly.
SPF, DKIM, DMARC. Mailbox rotation. Inbox placement. Your team already runs the warmup infrastructure.
Apollo follows the rep into Gmail, LinkedIn, Salesforce, Calendar. One-click enrollment from any surface.
Apollo CI captures disco-to-demo signal that your forecast-tier tool does not focus on. It extracts repeatable objections and unanswered questions. It feeds them back into sequence variants and Workflow triggers. Two surfaces, two call cohorts, no overlap.
This is the same prospect moving through the funnel, ten stages, two realities. The column on the left of each row shows what happens today in the current PDM motion. The column on the right shows what the activated stack captures once the interventions on the next slide ship.
Apollo is live at the engagement layer. Identification, scoring, research, CI, and expansion signals either drop or live in other tools. The arc breaks after the first touch.
Every stage writes to Salesforce. Nothing drops. The same prospect moves from anonymous visit to closed-won to expansion signal inside one platform.
RB2B fires an account-level alert with no contact attached and no owner assigned, so the signal dies on a Slack channel.
Apollo Contact-Level Website Visitor Tracking resolves the visitor to a known contact and pushes them into the matching SDR's queue.
The record lands in the same static list as 312,378 other L60D adds, with no ICP fit score and no ranking signal attached.
AI Lead Scoring (trained on PDM's SFDC closed-won) tags the contact with a fit-and-intent score the moment enrichment completes.
No AI Lead Scoring is active, so every new contact sits at equal priority and reps work oldest-first instead of best-first.
The contact surfaces at the top of the SDR's scored queue, tagged to the AI Persona that matches their title and industry.
The rep dials down a flat list. Across 576,619 all-time Nooks dials, the org-wide email-to-meeting rate has held at 0.095% because every contact looks equal in the queue.
AI Assistant opens to a ranked daily plan with the top-scored contacts, persona-matched talk tracks, and one-click tasks.
Context Center is empty. The rep opens LinkedIn in one tab and the company website in another while the prospect waits on the line.
AI Research produces a 30-second brief on the account's tech stack, recent news, and pain signals, surfaced in the Chrome Extension overlay.
The SDR joins the call cold. No agenda pulled from prior touches, no competitive notes, no persona-specific discovery questions.
AI Pre-Meeting Insights generates an agenda, a competitive angle, and three persona-weighted discovery questions sourced from Context Center.
The rep rewrites the same generic follow-up template used on every opp because no variant has been tested against PDM's closed-won patterns.
AI Email Composer drafts the follow-up using the prospect's own words from the call summary and PDM's closed-won language patterns.
The rep has no signal that the contact changed jobs last week or that a competitor hit their website three times. The deal stalls.
Apollo Workflows fire on job-change and intent signals. The original Apollo CI call summary (from Stage 07) surfaces the tagged objection for a coached save play.
Closed-won data sits in SFDC without feeding back into scoring. The next 100 MQLs look nothing like the profile that just converted.
The closed-won record auto-retrains AI Lead Scoring and seeds an AI Sequence Writing variant tuned to the buying committee that signed.
The req appears in a monthly report two weeks late. Nobody owns the expansion motion and the window closes.
Workflow automations catch the job-posting signal inside 24 hours and route an expansion play to the AM with a draft sequence attached.
The main pool is on pace. Mobile and Export specialty pools have been fully drawn down. The moves below shift specialty pools from an overage conversation into a signal-driven reload conversation.
Apollo's waterfall delivers 45% fewer bounces. Fewer credits burn on contacts the team was never going to reach. Volume stays. Waste drops.
Lead scoring runs before enrichment. Only scored-high contacts pull Mobile and Export credits. Below-threshold contacts hold in nurture.
First-pass AI output sharpens. Research briefs and sequence drafts require fewer re-generates. Word efficiency rises with every persona populated.