What To Expect From Apollo Next with Tyler Phillips - Predictable Revenue

Most outbound tools rely on static filters like job titles, industries, and company size. But sales teams know that’s not enough. The real challenge is finding the right prospects with real buying intent. That’s where Apollo’s AI platform changes the game.

Tyler Phillips, Principal PM of AI at Apollo.io, explains how their latest AI power-ups transform outbound sales:

Apollo’s all-in-one approach makes advanced targeting accessible, especially for smaller sales teams. Unlike Clay, which offers endless customization but requires technical skills, Apollo prioritizes ease of use and automation.

The result? Smarter prospecting, less manual work, and faster conversions.

Finding Alpha

Outbound sales has a signal-to-noise problem. Traditional filters aren’t enough. The real edge comes from “finding alpha”: uncovering hidden signals that indicate a prospect has a real pain point your product can solve.

Apollo’s AI-powered prospecting helps sales teams do exactly that. Instead of relying on outdated targeting methods, Apollo surfaces micro-signals, subtle indicators that a company or prospect is actively experiencing a problem.

Why This Matters

AI That Works for Sales Teams

Unlike technical-heavy platforms like Clay, Apollo prioritizes ease of use:

For sales teams, the message is clear: prospecting success is about finding the right leads.

How Sales Teams Are Using Apollo to Close More Deals

Apollo’s AI power-ups give sales teams an edge in outbound by turning scattered data into targeted, actionable insights. Here’s how companies use it to move beyond basic prospecting and execute smarter sales plays.

Smartling’s Translation Gap Play

Smartling, an AI translation company, used Apollo to identify companies with missing website translations, a problem they could fix. Before AI, this type of research was time-consuming and inconsistent. Now, Apollo automates the entire process:

This approach doesn’t rely on guesswork. It finds a clear, provable problem. Making it easy for prospects to say yes.

Using AI to Spot Market Gaps

Another high-impact workflow? Competitive analysis at scale. Sales teams use Apollo to:

This allows sales reps to frame their pitch around urgency: “[Competitor] is already doing [X]. Have you considered how that might impact your business?”

By presenting precise, relevant data, sales teams shift the conversation from generic outreach to strategic insight.

Automating List Cleaning and Deliverability

Many sales teams still manually export, clean, and re-upload prospect lists. A slow and error-prone process. Apollo is addressing this by:

These updates cut down on busy work and let teams spend more time selling.

Scaling Enrichments and Optimizing Outbound

As sales teams push Apollo’s AI to handle larger lists and more complex workflows, usability becomes critical. The ability to enrich, filter, and act on data at scale without manual workarounds can mean the difference between a smooth workflow and wasted hours.

Smarter Email Matching for Better Deliverability

One challenge power users face is matching email domains for better deliverability. If you send emails through Apollo, keeping Gmail-to-Gmail and Outlook-to-Outlook can increase inbox placement rates and improve the sender’s reputation.

This feature request is in motion, but Apollo is investing in email verification and sending logic to help teams get better results with less effort.

Breaking the 10,000 Enrichment Limit (Without the Clickaround Dance)

Another common frustration? Processing large lists efficiently.

Apollo currently batches enrichments at 10,000 records at a time, which means teams working with 30,000+ records must manually filter, re-run, and check progress. Adding friction to the workflow.

The goal?

Eliminate the “clickaround dance” by allowing automatic batching. That way, users can queue up larger enrichments and let Apollo process them in the background. No manual filtering needed.

Best Practices for Large-Scale Enrichments

For teams running complex workflows, like the Smartling translation gap play or competitive intelligence enrichment, here’s how to avoid wasting time (or credits):

Making Power-Ups and Views Reusable

For teams who frequently use the same AI-driven workflows, Apollo allows users to:

What’s Next for Apollo?

Beyond workflow efficiency, Apollo is expanding AI automation, deliverability improvements, and better enrichment tracking.

If you’re an Apollo user and want to see what’s next:

Need a More Predictable Outbound Motion? We Can Help.

Building a scalable outbound engine requires more than great tools. YOU need the right strategy, process, and execution. That’s where WE comes in.

We help sales teams:

✅ Build repeatable outbound systems that drive consistent pipeline.

✅ Refine targeting & messaging to improve conversion rates.

✅ Scale prospecting efforts without burning out your team.

Want to level up your outbound sales? Let’s talk!

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