3 Missteps with AI Image Generation and How You Should Be Using Them

For marketers, AI-generated imagery devices unfastened up caller possibilities for contented personalization and run engagement…but only erstwhile applied successful strategic, targeted ways.

AI-generated imagery platforms for illustration Flux, Runway, and DALL-E are becoming a valuable portion of marketing, design, and UX toolkits. But pinch each nan options available, it’s sometimes difficult to understand where and how these devices really bring worth — and wherever they autumn short.

In a caller Marketing Against nan Grain episode, Kieran and I talk communal challenges teams look erstwhile utilizing AI image tools, applicable usage cases for maximum performance, and champion practices for integrating AI imagery into your workflow.

Three Key Challenges of AI-Generated Image Adoption

AI image procreation holds massive imaginable — but its take isn’t without hurdles. In particular, 3 challenges preventing wide usage that Kieran and I often spot are:

1. Hesitation owed to privateness and information concerns.

Employees hesitate to prosecute pinch AI tools, often owed to concerns astir privacy, information security, and AI’s existent limitations. Many besides consciousness that AI mightiness not yet beryllium “good enough” for their needs.

Addressing these concerns starts with clear connection astir AI’s strengths and limitations. When teams understand wherever AI tin adhd worth — and wherever it can’t — they’re much apt to prosecute pinch it successful a realistic way.

2. Misaligned expectations.

Users often expect AI to “do it all,” starring to vexation erstwhile it falls short, particularly for tasks requiring precision. As Kieran pointed out, labor sometimes dainty AI arsenic a “magic box,” which tin group them up for disappointment.

By managing expectations and educating teams connected really AI useful best, marketers tin displacement attraction toward nan achievable, applicable uses that make an impact.

3. A request for guardrails.

With specified wide potential, galore group struggle to find nan correct applications for AI. As Kieran highlighted during nan show, a defined, system attack — like having clear AI prompts aliases targeted usage cases — helps easiness take by giving labor a clearer consciousness of purpose.

Similarly, utilizing guided prompts aliases simplified interfaces for circumstantial tasks tin make it easier for teams to research AI without emotion overwhelmed.

Three AI-Generated Image Use Cases successful Marketing

Despite these challenges, AI image tools tin person a beardown effect erstwhile applied to targeted usage cases. In our experience, AI-generated imagery devices tin beryllium utilized to:

1. Boost advertisement performance.

In my opinion, 1 of nan astir effective applications of AI-generated imagery is creating tailored advertisement variations. Custom images that intimately align pinch circumstantial advertisement transcript thief marketers present a much personalized acquisition crossed different platforms.

In our tests astatine HubSpot, we’ve seen that this attack importantly boosts conversions, making it an invaluable instrumentality for efficiently scaling our advertisement campaigns.

2. Increase email engagement.

AI tin besides summation engagement successful email trading by generating unsocial images tailored to each message.

Combined pinch AI-generated text, these visuals create a curated and applicable acquisition for readers, adding a furniture of personalization that keeps contented caller and increases nan chance of connecting pinch audiences successful a deeper, much memorable way.

This attack useful peculiarly good erstwhile you request to create chopped visuals for different segments aliases campaigns astatine scale.

3. Save clip connected editing.

AI is arsenic valuable for image editing, helping marketers quickly set visuals to fresh different assemblage needs.

For example, a exertion institution mightiness usage AI to modify merchandise screenshots by adding a client’s logo aliases emphasizing circumstantial features.

This maneuver allows brands to present a much personalized ocular acquisition without nan clip and effort required for manual edits, making it a powerful action for scalable, audience-specific content.

Best Practices for AI Image Implementation

Maximizing nan worth of AI-generated images intends knowing wherever and really to usage them. These pointers will support your attack applicable and results-focused.

✔ Define clear usage cases. Since AI tin beryllium overwhelming, specify circumstantial applications (like customer support aliases advertisement variations) wherever it’s astir apt to succeed, alternatively than trying to use it universally.

✔ Focus connected measurement complete perfection. AI excels astatine creating aggregate variations alternatively than azygous “perfect” images. If you request 1 flawless image, instrumentality pinch accepted methods.

✔ Educate teams connected AI’s strengths and limits. To amended adoption, group clear expectations and supply guidance connected wherever AI is astir beneficial, which tin thief reside guidance owed to privateness and reliability concerns.

✔ Keep it authentic. Avoid utilizing AI-generated images to correspond existent group aliases customers, arsenic this could harm trust. Save AI imagery for conceptual aliases product-focused visuals.

To study much astir really trading leaders tin merge AI-generated imagery into their teams and workflows, cheque retired nan full episode of Marketing Against nan Grain.

This blog bid is successful business pinch Marketing Against nan Grain, nan video podcast. It digs deeper into ideas shared by trading leaders Kipp Bodnar (HubSpot’s CMO) and Kieran Flanagan (SVP, Marketing astatine HubSpot) arsenic they unpack maturation strategies and study from standout founders and peers.