Gojiberry Alternative for Ecommerce: What 91 Screens Actually Show

On 24 August 2026 we signed up for Gojiberry, recorded twenty minutes of screen capture, and mapped every distinct screen we saw. Ninety one screens across eleven areas: sign up and checkout, a four step onboarding wizard, the dashboard, Ask, Copilot, Agents, Contacts, Inbox, Insights, Settings, and the help links in the sidebar footer.

We did that because almost everything written about Gojiberry today is written by companies that sell an alternative to it, and most of it repeats the same marketing sentences without anyone having opened the product. One competitor review says it plainly: independent analysis is scarce.

So the disclosure first. We build Keaz Signals, which sells buying signals for ecommerce outreach. We are a competitor. What makes this comparison different from the others is that we do not compete for the same channel. Gojiberry runs on LinkedIn. We watch what stores do. We can afford to describe their product accurately, because accuracy does not cost us anything.

One housekeeping note. gojiberry.app is a Shopify survey app made by a different company. This article is about gojiberry.ai, the outreach agent.

Start here, because it matters for the rest.

You enter your website, and the AI reads it. In the onboarding wizard, the exclusions step arrives pre filled, marked with an AI generated badge, listing competitor names it inferred from our site. That is not a demo trick. It works, and it removes the worst part of setting up an outreach tool, which is describing your own business to a form.

The contact list is well built. Every lead carries a fit rating with a tooltip explaining it, an AI score, and the signal that surfaced them. You can select rows, add them to lists, start email enrichment, and export to CSV, which we watched download. Lists have their own index, detail views, and empty states that were actually designed rather than left over.

Settings are more mature than most products at this stage. Nine tabs including members, sender accounts, an API, an MCP endpoint, and an organisation level blocklist. There is a help centre at help.gojiberry.ai with a full tutorial course and a troubleshooting section, and a public roadmap with comments inside the app.

If you sell B2B software or services to people who spend their working day on LinkedIn, this is a serious product at an aggressive price, and you should look at it.

Now the part that decides whether it fits your business.

Open the contact list on a live account and look at the column headed SIGNAL. Every row carries one of two sentences:

Just engaged with a LinkedIn post

Top 5% most active in your ICP

That is the product describing itself. Gojiberry's signals are things a person did on LinkedIn. Liked something, commented on something, changed jobs, appeared in a funding announcement, showed up as unusually active. For markets where buyers live on LinkedIn, that is genuine intent data, and it is fresher than anything a static database will give you.

Choosing which of those behaviours counts is your job, not the agent's. The onboarding wizard has a step for intent signals, another for keywords, another for competitor tracking. The create agent wizard opens with a screen titled Signals to track. You decide in advance which human behaviour means someone wants to buy from you, and the agent watches for it.

That works when your buyers post. It gets thin when they do not.

Here is the same word pointing at something else.

A three person Shopify brand rarely comments on B2B thought leadership. The founder is not building a personal brand in your feed. She is running ads, launching products, swapping her email tool, and rebuilding her storefront. None of that appears on LinkedIn, and none of it requires her to post anything at all.

Those are the events we watch. New Meta ads going live. A product launch. A retention tool being installed. A storefront rebuild. The difference is the trigger, not the data. Both products can find a company. The question is what makes the outreach happen this week rather than last month.

A G2 reviewer put it plainly: signal discovery drops when the target audience is less active on LinkedIn. Ecommerce founders are precisely such an audience. That is not a flaw in their product. It is a description of the market it was built for, which is not the same as ours.

Gojiberry's marketing says you are running in under five minutes. Counted in screens, the route looks like this.

Ten screens from the sign up form to a paid account: the form, the Google account chooser, the Google consent screen, four separate paywall views, then Stripe, a VAT and reverse charge step, and PayPal. The paywall sits before the product. You pay before you see the application.

Then the onboarding wizard, fifteen screens across four steps. Step three alone is nine of them: goals and tone, ideal customer roles, the role picker, target companies, exclusions, intent signals, keywords, competitor tracking, and an ICP review.

Then connecting a LinkedIn account, eight steps. Connecting a mailbox, five more.

None of that is unreasonable for a tool that will message people as you. It is simply not five minutes, and it is worth knowing before you pay rather than after. If you want to see leads before you commit, that is a real consideration.

In the contact list we recorded, the column headed EMAIL was empty on every visible row. Enrichment runs as its own bulk action, which shows a confirmation that email enrichment has started.

This lines up with a review left on G2 in May 2026, from a user who liked the product overall:

It's LinkedIn only for outreach. The enrichment finds emails, but I had to pipe them into a separate tool to actually send anything.

We are not going to tell you how often the enrichment finds an address, because we did not measure it and neither has anyone else writing about this product. What we can say is structural: in Gojiberry, the contact and the email address are two different steps. If your outreach is email first, that shapes your workflow.

This is not a Gojiberry problem. It is a LinkedIn automation problem, and anyone shopping in this category should price it in.

Through late 2025 and into 2026, LinkedIn moved hard against automation tools. Artisan was reported by TechCrunch in January 2026. Apollo and HeyReach were caught in the same wave. Gojiberry's own company page and its founder's account were restricted during that period and later restored, which the founder discussed publicly.

The important part is not who got banned. It is what the terms say about who carries the risk. Gojiberry's terms of service state that the company shall not be held liable for any restriction, suspension, or termination of your accounts on third party platforms, and that fees are non refundable. Their own compliance guidance suggests staying inside roughly twenty to thirty connection requests per day.

Read that together. The tool sends from your LinkedIn account, the platform may act against your account, and the contract places that outcome with you. Every vendor in this category has some version of this clause, which is exactly why it belongs in the decision rather than in the small print.

A store level signal does not carry that exposure, because there is no platform account in the middle. That is a structural difference, not a claim about anyone's compliance.

Plainly, and without hedging.

If your buyers are active on LinkedIn, Gojiberry covers a channel we do not touch at all. We have no LinkedIn signals, no LinkedIn sending, and no plans to add them. Their orchestration between LinkedIn and email in a single agent is ahead of what we offer.

If you need to get leads out of the tool, they export to CSV and sync to CRM. We do not export. Leads move into campaigns and stay there. For some teams that is a dealbreaker, and it should be.

If your market is not ecommerce, we are the wrong tool regardless of anything above, and Gojiberry is one of the better generalists in this category.

Their pricing is public and aggressive. We are not going to compare price per unit here, because what each product meters is not the same thing, and a table that pretends otherwise would be dishonest.

If the people you sell to post on LinkedIn, buy the tool that watches LinkedIn.

If the people you sell to run stores, buy the tool that watches stores.

The full feature by feature comparison, including the rows where Gojiberry wins, is on our Keaz Signals vs Gojiberry page.

• Own screen recording of Gojiberry, 24 August 2026, 19m47s, mapped to 91 screens
• gojiberry.ai product pages and FAQ, retrieved 25 August 2026
• Gojiberry terms of service, sections 3 and 9, retrieved 25 August 2026
• G2 reviews of Gojiberry, retrieved 25 August 2026
• TechCrunch on Artisan and LinkedIn enforcement, 7 January 2026