Scheduling a Lightning Deal on Amazon is easy. Measuring how it actually performed afterward is not - the data you need is scattered across multiple reports, making it difficult to know whether the promotion was truly worth running.
That's where Kapoq's Lightning Deal Performance tool comes in. It analyzes each promotion across six key performance areas, grades the results, and rolls everything up into a single overall score at both the deal level and the individual item level, so you can see exactly which products drove (or dragged down) performance.
The Comparison Period
Before diving into the scoring, it helps to understand how we establish a baseline. Each Lightning Deal is graded against a 4-week daily average from the period immediately preceding the deal. This gives us a steady, representative benchmark to compare against. For reference, the grid also displays the 4-week totals (not the average) so you can see the full pre-deal context at a glance.
This same logic is applied at both the overall deal level and the individual item level.
The Six Key Performance Areas
Incremental Sales Lift. Compares sales on the day of the deal against the prior 4-week daily average. This is the most direct measure of whether the promotion actually moved the needle - did sales increase, stay flat, or even decline?
Discount & Profit Efficiency. This section evaluates two related questions: how deep was the discount, and what did it do to your margin? Together, these reveal whether the promotion was financially sustainable or whether you essentially gave away profit to drive volume.
Traffic & Conversion Shift. Combines the change in glance views or page views with the change in conversion rate compared to the prior period. A healthy promotion typically lifts both - more eyeballs and a higher percentage of those visitors converting.
Buy Box Win Rate. Losing the Buy Box during a deal can quietly sabotage performance. When near-real-time Buy Box change data is available, we use that for the most accurate read; otherwise, we fall back to the Buy Box percentage on the day of the promotion. The win rate translates directly to the score (for example, a 90% win rate produces a score of 9).
Advertising Impact. Ad bidding dynamics often shift during promotions, so we review ACOS (Advertising Cost of Sales) on the day of the deal to gauge how efficiently your ad spend converted while the promotion was live.
Post-Deal Halo. Measures how many days sales remained elevated after the deal ended before returning to baseline. Kapoq reviews up to 14 days post-deal. A strong halo suggests the promotion drove lasting customer acquisition rather than just a one-day spike - an important signal for deciding whether to repeat the deal.
Overall Score and Recommendation
Each of the six areas carries its own weighting (see table below) that contributes to a single overall score from 0 to 10, displayed at the top of the report. Each score range comes with a clear verdict and recommended next step:
0 - 4.99: Weak Performance - Reconsider strategy
5 - 7.49: Moderate Performance - Optimization needed
7.5 - 10: Strong Performance - Worth repeating
KPI Dimension | Weight | Scoring Logic |
Incremental Sales Lift | 25% | % lift normalized to 0–10 (e.g., 40%+ lift = 10) |
Discount & Profit Efficiency | 20% | Ratio of margin retained vs discount depth (higher = better) |
Traffic & Conversion Shift | 20% | Combined sessions + CVR lift, normalized |
Buy Box Win Rate | 10% | Direct % mapped (99% = 9.9) |
Advertising Impact | 15% | Inverse ACOS score (lower ACOS = higher score) |
Post-Deal Halo | 10% | Days of elevated performance, capped at ~14 days = 10 |
Bringing It All Together
Lightning Deals can be powerful, but only when you can tell which ones are working and why. Instead of piecing together insights from a half-dozen Amazon reports, Kapoq's Lightning Deal Performance tool consolidates the full picture into one clear, actionable score - making it easy to decide what to repeat, what to adjust, and what to drop.