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Motion’s 2026 Creative Benchmarks Report

Most ads fail. Not because your team isn't talented, not because the hook wasn't clever, but because that's how Meta works.

Only 5–8% of ads become real winners, and about half never get meaningful spend.

The best teams know this and have built production machines that keep creating (without burning out or second-guessing every launch).

We wanted to quantify what's really working in ad accounts.

So we analyzed $1.3B in ad spend.

This was an anonymized dataset of +550,000 ads launched by +6,000 advertisers, representing roughly $1.3 billion in spend across Facebook and Instagram between September 2025 and early January 2026.

The window spans one of the most competitive promotion cycles of the year: pre-holiday testing, Black Friday and Cyber Monday (BFCM), and the post-holiday reset.

Motion’s 2026 Creative Benchmarks report answers the four questions we get asked most at Motion:

How many ads are top advertisers actually testing each week?
How many ads typically become winners and where does the spend actually go?
Which formats, hooks, and asset types become winners most often, broken down by vertical?
How does your creative strategy compare to others at your spend level?

How to use our benchmark data in your own ad strategy

First, read the full report. Or watch the video above to get the main points.
Wondering how your account stacks up? The report includes a benchmarks calculator — plug in your vertical and spend tier to see where you stand.
Make your LLM read the report. We’ve packaged up all the information that you can share with ChatGPT or Claude. Download this LLM-friendly version and upload it to ChatGPT/Claude.
Now, ChatGPT/Claude has rich context into creative benchmarks, formats that work, and what healthy ad accounts look like.
Start asking ChatGPT/Claude questions about your own ad strategy, new creative ideas you could try, and brainstorm with this data. This will help the LLM give you sharp and relevant actions to take.

Try this prompt to start - adjust the specifics to fit your brand, industry, and context.

Notice how we’re using the benchmark data for insights around industry, creative testing volume, and giving ChatGPT/Claude key info such as our specific product, team capacity, and monthly spend.

Sample Prompt - Adjust with your brand’s context

You are a creative strategy consultant specializing in DTC personal care brands and Meta ad creative production.

Context

Brand: Personal care — shampoo for wavy hair
Target persona: Women aged 18-35
Monthly ad spend: $100,000
Creative volume: ~50 ads/month
Conversion goal: Purchases via Shopify
Team:

Creative strategist
Video editor
Freelance creator (films ads + social content)
Designer
Media buyer

Instructions (follow in order)

Read the attached benchmark report. Extract insights relevant to personal care, beauty, and DTC brands — especially at or near the $100K/month spend tier. Flag any data points about creative volume, testing cadence, format mix, and performance benchmarks.
Benchmark our operation against the data. Using our stats above (50 ads/month, $100K spend, 5-person team), identify where we are ahead, on pace, or behind comparable brands. Be specific:

Ad volume vs. benchmark for our spend level
Testing velocity (new concepts vs. iterations)
Format mix (static vs. video vs. UGC vs. motion graphics)
Spend-per-creative ratio
Any gaps in team structure or workflow

Build a 30-day creative plan. Structure it as a production calendar that accounts for our actual team capacity. For each week, specify:

Number and type of ads to produce (static, video, UGC, etc.)
Concept themes or angles to test
Which team member owns each deliverable
What to test vs. what to iterate on from existing winners

Prioritize the plan based on the benchmark data. If the benchmarks reveal we're underweight in a format or testing approach, front-load those in the calendar. Explain why each priority ranks where it does.

Constraints

Ground every recommendation in the benchmark data — cite specific data points, not general best practices.
Keep the plan realistic for a 5-person team. Don't suggest output that requires staffing we don't have.
Focus on personal care / beauty / DTC insights. Ignore benchmark data from unrelated verticals unless you explain why it transfers.
Be specific and actionable. "Test more UGC" is too vague. "Week 1: Film 3 creator-led tutorials (wavy hair wash routine, styling, before/after) — freelance creator films, video editor cuts 2 variations each" is useful.

Output Format

Return as a structured report with these sections:

Benchmark Summary (personal care insights at our spend tier)
Gap Analysis (where we're ahead / behind, with data)
30-Day Creative Calendar (week-by-week, with owners)
Testing Strategy Recommendations (what to prioritize and why)

Go even further - use the benchmark data to analyze your specific ads

Using Motion (as we connect to your ad data and we’ve integrated the benchmarks data into our AI system) will dramatically improve the creative insights you get.

Motion’s AI already understands the benchmark data and will ground recommendations against your current performance. It will analyze thousands of ads in your account, apply industry-specific data from the $1.3B in spend we analyzed, and give you some mind-blowing insights.

Even better, Motion’s AI has already categorized every ad in your account with our incredibly accurate AI tags. This is the same AI taxonomy used in our Benchmark report, so Motion’s AI can precisely identify creative gaps, overused ad formats in your account, and the testing depth of your ad strategy.

Open Motion and start an AI Chat. We’ve preloaded Motion with data from the Benchmark report, so you don’t need to upload anything. Motion will automatically reference the benchmark data.

Here are some prompts to explore

Creative Gap Analysis

First, look at my ad account and tell me how many new creatives I'm launching per week. Compare that to the average testing volume for my spend tier and {your vertical} in this report — and tell me what I'd need to produce weekly to hit the top-tier benchmark for my category.
Then, pull the top five best-performing visual formats for {your vertical} from the report, combine those with my top-performing messaging angles from the last 30 days, and give me new creative concepts to explore.

That's your creative gap analysis and your next brief, all before your second cup of coffee. ☕️

Account audit prompts

Look at our current creative portfolio and tell me where we seem underpowered relative to Motion's 2026 benchmark findings: testing volume, portfolio breadth, winner concentration, or diversity across visual format, asset type, and hook/headline style. Call out what is clearly report-backed vs softer exploratory research, ground it in what we're actually running now, and end with the 3 highest-upside creative directions worth exploring next.
Look at our last 30 days of creatives and tell me which parts of the 2026 benchmark story seem most relevant to us right now: testing volume, narrow portfolio breadth, winner concentration, or lack of diversity. Ground it in our actual recent mix, separate stronger benchmark evidence from softer directional research, and finish with the 3 biggest creative opportunities this suggests.
Audit what is live in market right now and tell me where our active portfolio looks thin relative to Motion's 2026 benchmark findings. Focus on visual format, asset type, and hook/headline style, keep the benchmark application directional rather than exact math, and end with the 3 most promising areas to expand next.

Now, you have a data-backed analysis of your creative testing approach, an Andromeda-focused creative diversity and visual format audit, and the highest impact creative opportunities to tackle next.