Fix your Multi channel outreach using AI
Discover how AI can fix multi-channel outreach by prioritizing accounts, identifying pain points, and personalizing messaging across email, LinkedIn, and calls.
Hey, Welcome to this week’s edition of “Future of Prospecting” Newsletter by “Evabot”.
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Prospects are everywhere — Emails, LinkedIn, Calls, Social Media (Twitter, TikTok, Instagram), Closed Communities etc …
That’s why “multi-channel outreach” is trendy…
Sales reps are now reaching prospects on multiple platforms to get a meeting.
Their focus is not just on getting “attention”, but both “attention and interest” → 2 fundamental levers of getting outcomes.
It’s getting harder to earn both together. We will cover this in detail below and how to get it right…
Fundamentals First…
Everyone prefers to talk to people they’re familiar with, not strangers.
But “familiar” doesn’t just mean people they’ve met.
It’s also about people who’ve consistently caught their attention multiple times.
Think about it: a prospect may ignore an email, your comment on their post but respond to your LinkedIn message because you’re now familiar.
Why is Multi-Channel Outreach critical?
1. Reaching Prospects Where They Are Most Active
Everyone has a preference. Some check their email regularly, others engage on LinkedIn, while a few others might be more responsive to texts.
A sales leader once said, “I learned the hard way that the channel I prefer might not be the one my prospect prefers. Once I embraced multi-channel, my close rates skyrocketed.”
2. Building Trust Through Consistent Presence
Trust isn’t built overnight, and it certainly isn’t built with a single message. Being present on multiple channels shows that you’re not just trying to get their attention but genuinely trying to add value.
The more touch points you establish, the more familiar you become. People trust what they recognize.
3. Repurposing the Message Based on Channel creates a different impact.
What works on LinkedIn won’t necessarily work on Twitter.
Tailoring your message based on the platform allows you to align with the prospect’s engagement style.
4. Using Cross-Channel Insights for Smarter Follow-Ups
Few sales champions tried a completely different approach on multi-channel outreach i.e.
“using insights from one platform on another.”
Example: A sales rep notices that a prospect likes several of their LinkedIn posts but hasn’t responded to email. The next email references those posts, creating a personalized touchpoint.
A sales champion mentioned in one of our webinars, “Once I started integrating LinkedIn behavior into my email follow-ups, responses shot up 20%.”
Where is multi-channel outreach broken?
It’s not always about using more channels—it's about using them right.
Even multi-channel outreach is broken across the spectrum:
1. Generic messaging across channels
Too often, sales reps send the same generic messages with custom fields across multiple platforms.
Example: You send an email that says, “We noticed your company is growing,” when the prospect hasn’t hired anyone new in months. It shows you’re relying on generic or outdated / irrelevant information.
2. Targeting the wrong accounts
Often, Sales teams end up focusing on companies that have no immediate need for the product or service.
Example: A company recently completed a merger, and a sales rep assumes that means they need new software. But in reality, the merged company already upgraded their tools, and the outreach is irrelevant. They’ve missed the mark by not looking at pain based insights rather intent signals..
3. Manual research that doesn’t scale
Research is essential, but spending hours digging through social media, news reports, and company updates for every account is not scalable.
It’s time-consuming and often leads to relying on false signals, like assuming every company that raises funding is ready to buy your product.
A sales leader shared, “We spent hours researching one account’s hiring activity, thinking they needed a recruiting solution. Turns out, they had already solved that problem internally. We wasted time on poor signals.”
4. Fragmented view of the customer journey
Prospects interact on multiple platforms — email, social media, calls—but if you don’t have a unified view of these interactions, things get messy.
Sales teams struggle to track engagement across channels. This leads to missed follow-ups or redundant touch points.
Example: A rep follows up via email about a proposal that he sent two weeks ago. He missed noticing that the prospect was engaging with LinkedIn posts. This disjointed approach is a signal that the sales team isn’t paying attention.
5. Confusion about which insights matter
Various tools are offering different signals (job changes, news alerts, LinkedIn activity) to monitor. Opening a list of 50+ signals with non-actionables is overwhelming sales reps.
They don’t know which signals to use for prioritizing accounts or writing a message.
In one of our webinars, a guest speaker mentioned, “I used to rely on job change alerts as a signal of readiness to buy, but I quickly learned that’s not always a true indicator. I wasted a lot of time initially chasing the wrong leads.”
Challenges with Existing Tools in Multi-Channel Outreach?
Most sales tools today are designed to solve one or two problems really well. But in reality, multi-channel outreach is too complex. Here’s where these tools are still not able to fill the gap:
1. Tools are specialized for one channel
Most existing tools are good at handling a specific task—like writing emails, tracking LinkedIn messages, or gathering intent signals—but they aren’t built to bring everything together in a unified workflow.
Teams end up using separate tools for each channel, leading to data silos and fragmented workflows.
Example: A rep might use an email tool for outreach but a completely different one for LinkedIn. Without a unified dashboard, they end up reaching out to the same prospect on both channels without realizing it, creating redundant touchpoints and potentially annoying the prospect.
2. Hard to align with different sales workflows
Every sales team operates differently. The problem with many outreach tools is that they aren’t flexible enough to fit into various sales workflows, especially in more complex mid-market or enterprise sales.
Sales teams spend too much time trying to adapt tools to their processes instead of the other way around.
One sales leader shared, “We tried using a tool that worked great for quick, product-led growth, but when we moved into enterprise accounts, it couldn’t scale with our needs. It ended up creating more work for the team.”
3. AI Tools aren’t perfect for Mid-Market and Enterprise Sales
There’s been a lot of talk about AI replacing sales development reps (SDRs), but this is far from reality, especially in complex sales cycles. Most of the AI tools work best in product-led growth workflows, not where human relationships and trust are key.
AI-driven outreach, no matter how personalized it is, lacks the personal touch that’s crucial for building relationships in large scale sales environments.
Example: AI might help generate email copy, but when it comes to building relationships, it’s the SDR or account exec who can read between the lines, build rapport, and close deals.
4. Signal overload without substance
Tools that aggregate intent signals (like job changes or investments) often flag accounts that are not relevant. They gather surface-level data but not able to provide precise insights that truly indicate buying intent.
Sales teams waste a lot of time chasing “false positives,” like assuming a company that just posted about hiring must be ready to buy a software.
A rep once mentioned, “We saw a company just raised $10 million, so we started pushing our hiring solution to them. Turns out, they were using that funding to scale their marketing, not on buying new software.”
5. Power Dialers - Volumes not Outcomes
Power dialers are fantastic at dialing calls at 5x rate than a sales rep, but they don’t provide info on who is going to pick the call.
Reps end up calling a list of prospects with a generic script, which seldom leads to meaningful conversations.
Even if you make 100 calls in a day, if the calls are generic and unqualified, the pick-up rate won’t translate to meetings.
Example - A sales team used a power dialer to make hundreds of calls, but reps had no idea what the prospect’s needs were. Meetings were rarely booked, and it turned into a numbers game with little return on investment.
6. LinkedIn automation feels robotic
LinkedIn outreach tools are focused on automating connection requests and messages at scale, but they lack the personal touch required to build relationships.
Prospects can easily tell when messages are automated and not sent personally, which kills any chance of generating real interest.
Example: A LinkedIn tool sends a connection request followed by a templated message, “Hey, I have been following your posts for sometime. They are amazing well written. Let’s connect!”
The prospect immediately knows it’s an AI-generated message and ignores it.
While existing tools solve parts of the problem, they often fall short when it comes to scaling multi-channel outreach effectively. Sales teams need tools that can integrate across channels, provide actionable pain based insights, and balance personalization with automation. Only then can they truly leverage the power of AI to fix their broken outreach.
How Signal-Led Prospecting can fix Multi-Channel Outreach
The real game-changer in multi-channel outreach isn’t just more calls, emails, or LinkedIn messages.
It’s about having the right insights—specifically, pain-based insights about your prospects that can hyper-personalize your outreach across channels.
When you truly understand the pain points of your target companies, your outreach becomes far more relevant, human, and effective.
Let’s break it down…
What Does Signal-Led Prospecting Look Like?
Imagine this: You have specific insights about a company’s upcoming plans, not just generic data. You know they’re planning to double their sales team or that they’re looking into AI tools to scale their developer output. How would that change your approach?
Here’s how signal-led prospecting could play out across different channels:
Emails:
You can mention credible sources for your insights and offer solutions to their future challenges.
An email that says, “I noticed your company is gearing up to double its sales team—have you considered tools to streamline your onboarding process?” will grab attention far more than a generic pitch.
Calls:
When you have specific insights, your cold calls aren’t just random dials.
You can start with permission-based openers, then dive into your findings. “I saw that your company is exploring AI for customer support. We’ve worked with teams like yours to cut response times in half—would you be open to discussing this?” This immediately shows it’s not a list call—it’s tailored.
LinkedIn:
Personalize your comments and direct messages by mentioning specific insights you’ve uncovered.
Engaging on a prospect’s post with, “I see your team is growing—have you thought about tools that can help manage that scale?” feels like genuine curiosity, not an automated message.
But how do you get these insights?
This is where most tools fall short. They offer:
- Intent signals: Great for identifying interest, but they lack the depth needed to understand true pain points.
- Generated text: While these tools can generate messages quickly, they often miss the mark in personalization. They sound good but don’t address specific needs.
- Calls: Power dialers can make hundreds of calls, but they don’t help you prepare with relevant insights that would make each call meaningful.
The Power of Pain-Based Insights
Let’s look at an example. A sales leader once shared a story about prospecting a tech company that was in the middle of expanding its AI capabilities.
Rather than sending the usual pitch about their AI tools, the sales rep found that the company was struggling with customer support response times.
Armed with this knowledge, the rep tailored an email that addressed their specific pain: “I see you’re investing heavily in AI. We’ve helped similar companies improve their customer support response times by 50% using AI solutions. Could this be something you’re exploring?”
The result? The prospect replied within hours, and they booked a meeting. The outreach wasn’t generic—it was based on a real pain point the company was experiencing.
Why this works?
Relevance: When you lead with insights specific to the company’s pain points, you’re immediately more relevant than 90% of the other outreach they receive.
Human Touch: Signal-led prospecting doesn’t feel automated. It feels like a real human has taken the time to understand the company’s situation and is genuinely trying to help.
Better Engagement: When your emails, calls, and LinkedIn messages are based on specific insights, prospects are more likely to respond. They see that you’re not just selling—you’re offering a solution to a real problem.
Key Takeaways for Multi-Channel Outreach
To fix multi-channel outreach using AI and signal-led prospecting, focus on:
Finding pain-based insights: Go beyond basic intent signals. Look for specific triggers like hiring plans, expansion efforts, next year goals or operational challenges.
Hyper-personalize outreach: Tailor each message and script based on the insights you’ve uncovered. Use this information to be more relevant and valuable across all channels.
Leverage multiple touchpoints: Use email, calls, and LinkedIn, but adjust your messaging and script to fit each channel’s strengths. Don’t send the same message everywhere.
Signal-led prospecting makes your outreach feel intentional and relevant. It’s not about volume—it’s about making every touchpoint count. That’s how you’ll stand out in today’s crowded landscape.
Unified Platform for Account Research-Based Multi-Channel Outreach
So, what’s the solution to fixing multi-channel outreach using AI?
The ideal approach is having a unified platform that not only handles outreach but does the heavy lifting in account research too.
Let’s dive into what this platform could look like and how it solves the most common problems.
A Perfect Solution
Imagine an AI tool that does more than just send emails or make calls. It combines account research and outreach into one seamless process. Here’s how it would work:
1. Automatically Prioritizes Accounts Based on Pain Points
The tool should identify which accounts are most relevant to your product or service by matching the specific pain points you solve. It ranks these accounts by how critical and recent the issues are.
Example: If your product helps companies improve customer support, the tool would prioritize companies that recently had customer service complaints or are expanding their support team.
2. Pulls Relevant Insights Across Multiple Categories
It doesn’t just stop at identifying pain. The tool would scan business reports, revenue growth, sales performance, team size, and funding news to pull relevant insights. That way, you’re not guessing—you know exactly what’s going on in the account.
Example: You find out that a prospect just closed a new round of funding and is planning to double their sales team. You now have a concrete piece of information to use in your outreach.
3. Helps Craft Emails Based on Chosen Insights and Frameworks
The tool uses the insights it pulls to generate tailored email content. It works with proven frameworks like “Problem-Shift-Answer” (PSA) to structure your message for maximum impact.
How it works:
Insight: The company is going to double their sales team.
Framework (PSA):
Problem: Scaling teams can be tough, especially when onboarding sales reps efficiently.
Shift: Many companies struggle to keep up with the fast pace of onboarding while maintaining productivity.
Answer: Our platform can cut onboarding time in half and help you scale your sales team smoothly.
Sample email:
“Hi [Prospect], I noticed that [Company] is gearing up to double its sales team. Scaling this quickly can be a huge challenge—especially when onboarding effectively. We’ve helped teams just like yours streamline the process, cutting onboarding time by 50%. I’d love to share how we can help you scale efficiently. Let’s connect!”
4. Generates Custom Cold Call Scripts and LinkedIn Messages
Beyond email, the tool would generate custom scripts for cold calling and LinkedIn outreach, using insights that make the conversation specific and engaging. You’re no longer just “another call” or “another message”—you’re reaching out with purpose.
For cold calls:
“I saw that you’re about to expand your sales team. We’ve helped similar companies streamline their onboarding process. Is that something you’re focused on right now?”
For LinkedIn comments and DMs:
“Great post! I noticed [Company] is growing its sales team—exciting times! We’ve helped companies like yours with scalable solutions for onboarding. Let’s chat if that’s a challenge you’re tackling!”
5. Uses Proven Frameworks to Capture Attention
The platform should have pre-built frameworks, like Problem-Shift-Answer (PSA) or Observation, Problem, P.S, Simple CTA (OPPS), to structure messages in ways that immediately capture attention and generate interest.
Example: The PSA framework works by acknowledging a known pain (Problem), pointing out why this pain is important (Shift), and then positioning your solution as the answer (Answer).
Evabot - A No Fluff Solution
The goal isn’t to add more noise. It’s to deliver highly relevant, actionable pain based insights that speak directly to the prospect’s needs.
Take the example of Evabot, a tool that helps automate account research and multi channel outreach in sales cycles. Their platform integrates seamlessly into workflows and existing tech stacks, solving key problems without adding unnecessary steps.
How It Integrates:
Works alongside your CRM to keep everything in one place.
Allows teams to pull insights into daily workflows without having to jump between platforms.
Key Takeaways
Prioritize accounts based on pain: Use insights that tell you which accounts are feeling the pain your product solves, and rank them accordingly.
Leverage multi-source insights: Pull information from various categories—business growth, team changes, funding news—to craft relevant outreach.
Tailor messaging with proven frameworks: Use frameworks like PSA to structure your outreach, whether it’s email, calls, or LinkedIn.
No fluff, just relevant outreach: Keep it focused, actionable, and insightful. Don’t waste time with promotions or irrelevant details.
By using a unified platform that combines account research and outreach, you can ensure every touchpoint is informed, relevant, and personal. That’s how you fix multi-channel outreach with AI.
Would you like to evaluate “Evabot AI” for multi-channel outreach using Signal led Prospecting? Book a meeting on the button below.
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