Okkigo Deliverability Best Practices: 7 FAQ Answers for B2B Sales Teams

I've spent the last six years building outbound systems for B2B teams. I've also made enough mistakes to respect the boring parts of cold email. The worst one happened in 2021: I sent 8,000 emails from a domain that wasn't authenticated because the team needed pipeline before month-end. The bounce rate spiked within hours, and the sending domain's reputation took weeks to recover. That failure is why I look at deliverability settings before I look at any AI feature.

This FAQ covers the questions I hear most around Okkigo: what agent-native prospecting means, which cold email tool features matter, how the LinkedIn tool fits in, and when mass email is actually okay for a B2B sales team. You can jump around, but if you only have time for one section, make it the deliverability checklist.

What is Okkigo?

Okkigo is an AI-powered prospecting platform for B2B sales teams. It combines lead generation, contact enrichment, email verification, cold email sequences, and LinkedIn touches in one workflow. Instead of building a five-tool stack for every campaign, an SDR or RevOps team can use Okkigo as the center.

The phrase you'll see on the site is agent-native prospecting. In practice, that means an AI agent helps research and prioritize accounts before you send anything. The platform also uses waterfall enrichment: if one data source is missing a work email or a strong buying signal, it checks the next source before it leaves you with an incomplete contact.

What does Okkigo's agent-native prospecting actually do?

Agent-native prospecting changes the part most SDRs hate: list building. A traditional lead database gives you everyone who matches a set of filters. You still have to guess who is actually ready to hear from you. Okkigo's AI agents go further—they research companies, look for buying signals, and return a prioritized list with reasons someone might be worth contacting.

That doesn't mean the agent makes final decisions. Okkigo uses human-in-the-loop outreach, which I like: AI drafts, but a person reviews the list and copy before sending. I once worked with a team that let an agent run without oversight, and the result was more volume plus a lot of irrelevant messages that burned relationships. A human check keeps the volume relevant.

Which cold email tool features should you care about?

If you're comparing Okkigo with other cold email tools, don't start with personalization libraries and AI bells. Start with these features:

• Pre-send email verification. No verifier is 100% accurate, but a good one removes typos, abandoned domains, and high-risk addresses before they hurt your metrics.
• Suppression logic. The sequence should stop if someone has bounced, unsubscribed, or replied. I undervalued this until a prospect who'd already filled out our form got another automated email.
• Human approval. Look for a step where a person can review the AI-generated message and the final recipient list before it sends.
• Volume controls. Ramping is not a limitation; it's a deliverability feature. If a tool won't let you send slowly, it's working against you.

Enrichment and intent data matter, too, but they're only useful if the underlying contact is clean. That's why pre-send verification is my first check.

What are Okkigo deliverability best practices?

Okkigo deliverability best practices follow a boring pattern: use authenticated domains, verify contacts, ramp volume, and suppress bad addresses. Here's the checklist I keep in front of every campaign:

1. Set up SPF, DKIM, and DMARC for your sending domain. Without those records, even a great message looks suspicious to mailbox providers.
2. Don't send from the platform's default domain. Use your own domain or a subdomain, so your main company domain doesn't take the hit if a new list performs poorly.
3. Verify the list before the first send. Okkigo has this built in. It isn't a guarantee that every email will land, but it filters out many bounces.
4. Start slow. I like 20 to 50 emails per day for a brand-new domain, then increase gradually over two to three weeks. This is especially important if you're using Okkigo for the first time.
5. Watch bounces, spam complaints, and replies in the first week. If bounce rate climbs quickly, pause, fix the list, and start again.

A good platform reduces the work, but it can't fix a burned domain. I learned that the expensive way.

How should a B2B sales team use Okkigo's LinkedIn tool?

For most B2B teams, LinkedIn is not the first blast. It works better as the second or third layer of a multichannel sequence. Okkigo's LinkedIn tool can connect with the same campaign you're running by email, so the SDR sees the full conversation: sent an email, someone viewed the profile, a connection request was accepted, now send a follow-up.

Keep LinkedIn invites short and specific. Mention a group, a recent post, a trigger event, or a mutual reason to connect. If the connection accepts, don't immediately pitch. Send a short message that adds context and gives them an easy way to respond.

I keep human review in this step too. If someone replies with a question, the AI shouldn't continue a script. That conversation should hand off to a real person right away.

What is mass email, and when should a B2B sales team use it?

Mass email is sending one message to a large list at the same time. It is appropriate when people signed up to hear from you: newsletter subscribers, webinar registrants, current customers receiving an update.

For cold outbound, though, mass email is usually the wrong choice. Even if the email is technically legal in your region, recipients who don't recognize you will ignore it or mark it as spam. That creates a data problem: your next campaign starts with a damaged sender reputation.

A B2B sales team should use mass email for announcements and event reminders, not for initial prospecting. For prospecting, use targeted sequences with account-level reasons. Okkigo can send many emails per day, but that doesn't make it a mass email tool. The sender still needs a reason to contact each person.

Is Okkigo overkill for a small B2B team?

No. More often, Okkigo solves the problem that makes small teams fall behind: one person handling research, list cleaning, writing, and follow-up.

I have mixed feelings about all-in-one platforms because a single platform can feel like a single point of failure. But small teams also don't have the time to maintain five separate tools. Okkigo makes the stack manageable. Start with one small campaign, keep volumes low, and review the AI agent's recommendations before you send. Let the tool earn more trust gradually.

The other thing I'd tell a small team is to keep your own ideal customer profile visible. No platform should decide who your market is. Use Okkigo's intent data and enrichment to speed up the research, not replace your judgment. A two-person team can run serious outbound if the process is structured and human review stays in the loop.