Vine ROI Decision

When to use this

• Launching a new ASIN and deciding Tier 0, 1, or 3
• 90 days post-launch, asking if Vine is worth a second enrollment on a variation
• Comparing Vine vs paid Rebates vs PPC review velocity
• A new brand with 18 SKUs and a fixed Vine budget

The framework. The Vine ROI Calc

Incremental gain = (CVR lift in points x Forward sessions over the window x AOV x Margin per order)
Vine net = Incremental gain minus (Vine fee + N units x landed cost)

• CVR lift in points = the percentage-point increase, not a new total CVR applied to baseline
• Forward sessions = sessions expected after reviews post, over the measurement window
• N = 2 for Tier 0, 10 for Tier 1, 30 for Tier 3 (units given away)
• Vine fee = $0 for Tier 0, $75 for Tier 1, $200 for Tier 3, per parent ASIN. confirm current Vine fees in Seller Central, the tiers shown in your account can vary
• Expected CVR lift comes from category benchmarks below

Category CVR lift benchmarks (90-day window, post-Vine)

The hard cap rule

Step by step

1. Pull the inputs. Sessions per day (Business Reports), current CVR, AOV, margin per unit, landed cost per unit, category.
2. Project forward sessions. Sessions per day x the days in the window that fall after reviews post (reviews drip over 30 to 60 days, so the early window earns no lift). Call this Forward Sessions.
3. Apply lift in points to each tier. Use the category benchmark midpoint as a percentage-point increase. Incremental gain = lift in points x Forward Sessions x AOV x margin %. Do this for Tier 0, Tier 1, Tier 3. This is the gain on top of baseline, never a recredit of baseline conversion.
4. Subtract enrollment cost. Tier cost = Vine fee + (N x landed cost). Net gain = Incremental gain minus Tier cost.
5. Apply the hard cap. Per-review cost / projected gross profit over the window. If

   15% on the best tier, skip Vine entirely.

6. Pick the winning tier. Highest net gain that clears the cap. Often Tier 1 wins over Tier 3 because the marginal 20 units cost more than the marginal lift returns.
7. Run the quality check, then deliver verdict.

Output format

## Vine Decision. [ASIN]

**Inputs**
- Sessions/day: [X] | Current CVR: [Y%] | AOV: $[Z] | Margin: $[M]/unit
- Landed cost: $[L]/unit | Category: [cat]

**Forward sessions over the window**: [X]

**Tier comparison**
| Tier | CVR lift (pts) | Incremental gain | Cost | Net gain | Per-review cost % |
| 0    | [pts]          | $[X]             | $[Y] | $[Z]     | [%]               |
| 1    | [pts]          | $[X]             | $[Y] | $[Z]     | [%]               |
| 3    | [pts]          | $[X]             | $[Y] | $[Z]     | [%]               |

**Verdict**: [GO Tier X | CAUTION Tier X | SKIP]
**Reasoning**: [1-2 sentences]

Worked example

Quality check

• Sessions pulled from Business Reports, last 30 days average
• Current CVR is unit session percentage, not order session
• Margin is fully loaded (Amazon fees, PPC ACoS, returns reserve)
• Category benchmark applied at midpoint, not optimistic top
• Hard cap rule enforced on per-review cost

Common mistakes

• Defaulting to Tier 3. The marginal 20 units rarely return their cost. Tier 1 often wins.
• Using list price instead of net AOV. Coupons and promotions are not in list price.
• Ignoring landed cost. A $20 unit at $7 landed has very different math than a $20 unit at $1.50 landed.
• Forgetting the 90-day window. Vine reviews drip in over 30-60 days. Lift does not show up day 1.
• Enrolling SKUs with zero traffic. Vine reviews on a 5 sessions/day ASIN compound nothing. Fix traffic first.

Built by Jay GPT Pro