Avatar reaction 3.49 vs 3.06 predicted: run your own two-clip test

To find out whether your audience accepts an avatar presenter, publish two versions of the same message, change one thing, and compare a metric you already track. On Sume that means one script rendered with two avatar_handle values through POST /v1/avatar-1.0/talking-video, each with its own Idempotency-Key, at the same quality and aspect_ratio.

The prompt for this is a pair of numbers in HeyGen's The State of AI Avatars 2026 (September 2026, 1,000+ small business owners). Avatar users rated audience reaction 3.49 out of 5, while non-users predicted 3.06; actual negative reactions were 10.5% against 25.1% predicted. It is a vendor survey of its own market, and it does not say your audience will react the same way, which is why a small test beats borrowing the number.

What should you change between the two clips?

Change exactly one variable, or you will not know what moved the metric. Reasonable single variables on Sume Avatar 1.0 are the presenter (two avatar handles), the framing (9:16 against 1:1 or 16:9, all supported), or the scene direction (scene prompt or photo). Keep the script word for word identical.

Do not change quality between arms unless quality is the thing you are testing. Sume accepts standard, plus (the default when omitted) and max, and they trade turnaround and finish against cost.

How do you submit both arms safely?

Send both jobs asynchronously and give each its own idempotency key so a retry does not create a second paid job. The sketch below uses requests, and it is synchronous because it only submits; polling is in Jobs and results.

Reuse the key only for the same payload. Reusing a key with a different body is rejected as a conflict, so put the handle and a test label in the key.

import os
import requests

URL = "https://api.sume.com/v1/avatar-1.0/talking-video"
HEADERS = {
    "Authorization": f"Bearer {os.environ['SUME_API_KEY']}",
    "Content-Type": "application/json",
}
SCRIPT = "Our spring menu starts Friday. Here are the three dishes to try first."

for handle in ("host_a", "host_b"):
    body = {
        "avatar_handle": handle,
        "script": SCRIPT,
        "aspect_ratio": "9:16",
        "quality": "standard",
        "mode": "async",
    }
    resp = requests.post(
        URL,
        headers={**HEADERS, "Idempotency-Key": f"reaction-test-{handle}-v1"},
        json=body,
        timeout=30,
    )
    print(handle, resp.status_code, resp.text[:200])

How do you keep the test cheap?

Approve composition before paying for two full renders. An avatar video preview creates first-frame stills only; when one looks right you call generate-video on the preview id. The final-render quality can be overridden at that step, and preview stills are reused rather than regenerated.

A changed script, video_inputs, avatar_handle, scene or aspect_ratio needs a new preview, so settle those before you start.

How do you read the result honestly?

Pick the metric before you publish: completion rate, replies, clicks, or a plain poll under the post. With a small audience the difference between two clips can be noise. If both arms perform alike, the avatar is not hurting you, and the cheaper path wins.

Sume produces the clips and keeps job records; it does not measure audience reaction, and it will not tell you which arm won.

What if you want to compare with your own real clip?

Treat your recording as a third arm rather than a replacement. Post it with the same caption, at a similar time, and compare the same metric. Remember that the survey's reaction scores came from avatar users and non-users answering questions, not from a controlled split of one audience, so your own split is a stronger test than the quoted numbers.

Record which Idempotency-Key and handle produced which clip, so a result next month can be traced back to the exact job.