What do you dislike about Hawky.ai?
There is a lot happening inside the product, so it can take some time to understand where everything fits together. As more capabilities are added around creative generation, competitor intelligence, dashboards, and AI, I think the product could benefit from making the primary workflows even more straightforward for new users. I'd also like to see even deeper integrations across the broader marketing stack so that more of our downstream conversion and customer data can feed directly into the recommendations. Review collected by and hosted on G2.com.
Recommendations to others considering Hawky.ai:
To enhance user experience, consider simplifying the primary workflows for new users as more features are added. Additionally, deeper integrations across the marketing stack could allow for more comprehensive data analysis and recommendations. Review collected by and hosted on G2.com.
What problems is Hawky.ai solving and how is that benefiting you?
The biggest problem it solves for us is the gap between understanding performance and actually deciding what to do next. Previously, we could identify that an ad was performing well or that a campaign was declining, but figuring out why and deciding what creative to produce next involved a lot of manual analysis between the performance and creative teams. Hawky helps connect those pieces. We can identify winning creative patterns, understand what competitors are doing, generate new variations, and use those insights to build the next round of creative testing. That has made our creative testing process much faster and reduced the amount of manual research and reporting our team needs to do before launching new campaigns. Review collected by and hosted on G2.com.