Outcome analytics

The dashboard that tells you why.

This is the exact analytics surface Avarto puts in your hands — the same charts, rendered the same way. We've loaded one honest story: Avarto found Pace Athletics was losing mobile shoppers to sizing doubt, fixed it, compounded a second win into $188,543 of measured incremental revenue over an 8-week test — statistically significant by week 4 against a 10% randomized holdout — and honestly retired the one tactic that backfired.

Illustrative example — our fictional Pace Athletics demo store. These are not customer results. Your dashboard shows your own data.

$188,543

measured incremental revenue over the 8-week test, against a 10% randomized holdout — 95% CI $72,017–$305,068

week 4

when the uplift cleared significance against the holdout (day 26)

~$2,772,000

assistant-attributed revenue across 16,800 conversions at $165 AOV

1. Where the visitors went

The assistant funnel for the period — and, crucially, WHY the engaged shoppers who didn't buy left. That last read comes from the conversation itself; page analytics and session replay can't produce it.

The funnel

Sessions728,000

visitors in the window

Engaged the assistant280,000

38.5% of sessions started a conversation

Reached a product or decision95,000

got to a product page or a recommendation

Converted16,800

6.00% of engaged sessions ended in a purchase

Why the engaged shoppers who didn't buy, left

From the assistant's own objection labels, share of bounced engaged sessions.

Sizing / fit doubt31% (81,592)
Price vs. a competitor22% (57,904)
Shipping / returns14% (36,848)

Sizing doubt is the #1 objection — and about twice as common on mobile. That single read is what motivated the hero experiment below.

2. What actually moved revenue

Six experiments, each against a 10% randomized holdout. The bar IS the 95% confidence interval — never a bare point estimate. Green helped, red hurt, slate is not yet statistically significant (its CI still crosses the holdout line), and a sample too small to trust is labelled "not enough data" rather than shown as a confident number.

Assertive "buy now" toneAssertive "buy now" toneAvatar on vs. offAvatar on vs. offFree-shipping threshold nu...Free-shipping threshold nudgeProactive price comparisonProactive price comparisonSize-guide prompt (mobile)Size-guide prompt (mobile)Voice greeting (launched la...Voice greeting (launched late)+30%+30%+20%+20%+10%+10%0%0%−10%−10%−20%−20%Conversion lift vs holdoutholdout (0)−9% ✓+2% ns+7% ns+11% ✓+15% ✓not enough data

✓ green — a real uplift; ✓ red — a real drop (the variant hurt).

ns slate — not yet significant; the CI still crosses the holdout line (a positive point estimate here is trending, not proven).

Size-guide prompt (mobile)

Won ✓

6.0% → 6.9% conversion · ~$112,000 incremental

Proactive price comparison

Won ✓

5.4% → 6.0% conversion · ~$76,543 incremental

Free-shipping threshold nudge

Trending

5.8% → 6.2% conversion · trending up but not yet significant — not counted

Assertive "buy now" tone

Retired

5.6% → 5.1% conversion · loss caught and retired (not counted in the total)

Avatar on vs. off

No effect

5.5% → 5.6% conversion · no measurable difference

Voice greeting (launched late)

Not enough data

Launched late — not enough data yet to call it.

3. When it became real

Cumulative incremental revenue measured against a 10% randomized holdout, with 95% confidence intervals, day by day. It's honest about uncertainty: noisy and crossing zero through roughly the first 3.5 weeks, then it clears significance on day 26 (week 4) and climbs to $188,543 by day 56 (95% CI $72,017–$305,068). The two winning experiments reconcile to that total; the retired loss is revenue avoided, not added.

$400.0k$400.0k$300.0k$300.0k$200.0k$200.0k$100.0k$100.0k$0$0-$100.0k-$100.0k-$200.0k-$200.0kCumulative incremental revenue vs holdoutDay 1Day 1Day 8Day 8Day 15Day 15Day 22Day 22Day 29Day 29Day 36Day 36Day 43Day 43Day 50Day 50holdout baseline ($0)significance reached
Cumulative uplift
95% CI band

The shaded band is the 95% confidence interval; the line is the point estimate. Below the dashed baseline the variant is losing money. The marker shows the day the lower bound first cleared zero.

4. The why, in words

Every claim below traces back to a number above — no hype, sourced.

  1. 1

    Sizing doubt was the #1 reason engaged shoppers left — 31% of bounced conversations (81,592 sessions) — and it was about twice as common on mobile.

    Source: objection_label drop-off: sizing/fit 31% (81,592)

  2. 2

    So Avarto tested a mobile size-guide prompt. Conversion went 6.0% → 6.9% (+15%, significant): about +$112k incremental.

    Source: Experiment 1 — size-guide prompt (+15.0%)

  3. 3

    A proactive price comparison added a second significant win (+11%, ~+$76.5k), and the two wins reconcile to the +$188,543 total the uplift band climbs to.

    Source: Experiment 2 + uplift band (+11.1%)

  4. 4

    The one tactic that backfired — an assertive "buy now" tone — lost 8.9% and was retired. That is revenue we avoided losing, not revenue we counted.

    Source: Experiment 4 — retired loss (−8.9%)

  5. 5

    A free-shipping nudge is promising (+6.9%) but not yet conclusive — its CI still touches zero — so it's reported as trending, not counted. The avatar-on test was a null and the late voice greeting hasn't gathered enough data; both are reported honestly, not hidden.

    Source: Experiments 3, 5 & 6 — trending + null + not-enough-data

  6. 6

    Compounded, the program reached ~$188.5k of measured incremental revenue over the 8-week test (95% CI $72k–$305k), statistically significant by week 4 — all against a 10% randomized holdout.

    Source: uplift band — +$188,543 [$72,017, $305,068], significant day 26 / week 4

Illustrative example — our fictional Pace Athletics demo store. These are not customer results. Your dashboard shows your own data.

This is the analytics you'd get on your own data.

Same charts, same statistics, same honesty rules — pointed at your store instead of our demo one. Confidence intervals on every result, a holdout that proves causation, and the objections your shoppers actually raised.