\begin{table}[htbp]\centering
\begin{threeparttable}
\caption{Promotion dynamics in storefront feeds (Model B)}\label{tab:promotions}
\small
\begin{tabular}{p{10.5cm}r}
\toprule
Statistic & Value \\
\midrule
Listing-weeks promoted (inferred, $p \le 0.9\times$ trailing 8-week mode) & 0.046 \\
Median depth (log ref/p), promoted weeks & 0.224 \\
Agreement with current on-sale flag (last week) & 0.902 \\
S.d. weekly $\Delta\log p$, raw & 0.106 \\
S.d. weekly $\Delta\log$ reference & 0.055 \\
Ratio raw / reference (bootstrap 95\\% CI) & 1.92 [1.84, 2.02] \\
Share of weekly price changes that are promotion transitions & 0.504 \\
Episodes (uncensored) & 14,774 (11,705) \\
Episode kinds: return / reset down / reset up & 0.52 / 0.42 / 0.06 \\
Return episodes: median duration (weeks), share 1 week & 1, 0.80 \\
Return episodes: median depth & 0.288 \\
Median recurrence interval (weeks), share of listings with $\ge$ 2 episodes & 3, 0.23 \\
H3 (return episodes): mean $\Delta\log$ reference after vs before (s.e.) & -0.0003 (0.0001), n = 6,049 \\
H3 (all low-price episodes): mean $\Delta\log$ reference (s.e.) & -0.1018 (0.0018) \\
Placebo (random weeks, non-promoted listings) & 0.0003 (0.0007) \\
Event-study pretrend test (weeks $-4..-2$), $p$ & 0.000 \\
Circular items with observed regular price; median observed depth & 0.23; 0.224 \\
Multi-price weeks: single-store shops vs anti-bot storefronts & 0.047 vs 0.228 \\
\bottomrule
\end{tabular}
\begin{tablenotes}[flushleft]\footnotesize
\item Sample: grocery storefront listings observed in $\ge$ 8 of 11 complete weeks. Promotion state is inferred from the weekly modal price; regular prices are not historised in the source. Return episodes end with a price within $\pm$2\% of the pre-episode reference; reset episodes are regular-price changes that the 10\% rule also flags.
\end{tablenotes}
\end{threeparttable}
\end{table}