Your AI companion for Hyperise.

Find the merge fields that would make a personalisation look careless.

A campaign can be visually polished and still fail on the detail that the recipient sees first: the wrong company, an empty name, an outdated role, or a substitution that does not fit the image.

Strawberry can inspect the template and visible recipient inputs, then produce an exception list before the asset moves into outreach.

Check the destination as carefully as the image itself.

Personalised imagery can create attention, but sending it to an irrelevant landing page or an out-of-date offer breaks the promise immediately.

Strawberry can review the visual asset alongside the linked destination and account context, preparing a relevance check for the campaign owner.

Give sales a small exception queue instead of a bad campaign to apologise for.

Some records will always need a closer look: a recently changed company, a generic inbox, a missing field, or a brand-sensitive account. They should be removed from the automated path, not forced through it.

Strawberry can turn the visible campaign data into a review queue with the reason each recipient needs manual attention.

Run QA immediately before a send window, when the data is freshest.

A pre-send check should happen close to outreach because recipient roles, companies, offers, and landing pages can change between campaign setup and delivery.

Store the approval criteria in a Hyperise skill and schedule a routine just before the team’s weekday send window. It can compile variable and link exceptions for review, but it must not activate a campaign or edit recipient data.

Frequently asked questions