In Gojiberry, you usually work with two main systems:

A very common mistake is creating only the lead-finding agent and forgetting to create the outreach campaign afterward.

Without the campaign, the platform will still find leads, but no automated outreach or contact with those leads will happen 👍

A campaign needs lead lists connected to it in order to perform outreach.

The more qualified leads you provide to your campaign, the better your final results tend to be.

In Gojiberry, you can connect and mix multiple lead sources to a campaign, including:

One common mistake is forgetting to connect all relevant lead lists to the campaign. Always review your campaign setup and make sure all appropriate lead sources are included.

The AI-generated messages are created using default templates and are personalized based on:

If your company/workspace description contains very little information, or if the lead profile itself is incomplete, the generated messages may end up sounding too generic or lacking detail.

Because of this, it’s important to regularly monitor and adapt your messaging strategy based on:

What works well for one group of leads may not work for another.

If you notice low reply rates, good alternatives are:

Testing and optimizing your messaging over time is one of the biggest factors for improving campaign performance 😊

Adding links too early in your outreach can reduce response rates and may look spammy.

A better approach is:

One of the most common mistakes new users make is increasing LinkedIn outreach limits too quickly.

If your LinkedIn account is new, has little outreach history, or is not properly warmed up yet, it’s strongly recommended to follow the suggested safety limits and start slowly.

A safer approach is:

Accounts that are older, already active, properly warmed up, and especially accounts with Sales Navigator usually have more flexibility and can often handle higher limits more safely over time.

Increasing limits gradually helps reduce the chances of:

Signals are extremely important because they define where the AI searches for leads.

Some users:

This can create noise and reduce lead quality.

💡 Good signals usually come from:

Your AI Agent learns over time, but you should still review the leads being generated.

Check:

If needed, refine your ICP, add exclusion keywords or additional criterias to be even more precise.

A common mistake new users make is changing their ICP, signals, or campaign messages too quickly before enough data and results have had time to appear.

In the beginning, the system needs some time to:

At first, signals are usually tested more evenly. After a few rounds, the system starts giving more attention to the signals that are finding higher-quality leads more consistently.

It’s also important to remember that outreach results themselves can take time:

Because of this, making major changes too early can make it harder to understand what is actually working and what is not.

⚠️ In most cases, it’s recommended to let the system run for several days before making major adjustments to your setup.

A very common mistake is creating an ICP that is too broad or not giving the AI enough information about what your ideal lead looks like.

When configuring your ICP, pay special attention to the Additional Criteria and Mandatory Keywords fields.

The Additional Criteria field allows you to add a short custom instruction about the type of leads you want the AI to prioritize 👍

For example, you can:

This field is very useful for customizing targeting beyond the default ICP filters.

The Mandatory Keywords option works as a strict filter.

For a lead to qualify, they must contain at least one of the keywords you define either in:

Because of this, it’s important to use multiple keyword variations and synonyms whenever possible. Otherwise, good leads may accidentally be excluded due to small wording differences.