DTC, Retail & Pricing Science

Myth:A big enough A/B test or attribution platform can pin down each campaign's ROI.

Evidence:Across 25 large field experiments with major U.S. retailers and brokerages, the median confidence interval on ad ROI was over 100 percentage points wide; individual-level sales are so volatile (coefficient of variation ~10) that an informative test often needs 10M+ person-weeks.

Myth:Long checkouts are fine if the product is good.

Evidence:Average large-site checkouts ask for far more fields than necessary; trimming to the minimum viable set is one of the highest-yield conversion changes available.

Myth:Display ad ROI shows up in online conversions.

Evidence:A randomized experiment with 1.6 million Yahoo! users found display ads profitably lifted a major retailer's purchases by 5% - but 93% of the increase happened in brick-and-mortar stores, and 78% came from customers who never clicked the ads.

Myth:Forcing account creation builds your CRM.

Evidence:Mandatory account creation is a top-cited abandonment driver; guest checkout with a post-purchase account offer captures both revenue and the record.

Myth:Retail media ROAS proves the channel works.

Evidence:Most retail-media ROAS counts sales that would have happened anyway; even incremental ROAS is so methodology-sensitive that Ovative, Albertsons Media Collective and Kellogg faculty built a framework just to standardize it.

Myth:A percentage discount converts better than free shipping.

Evidence:Shipping cost is the single most cited reason for abandonment; a free-shipping threshold typically outperforms an equivalent-margin discount and lifts average order value.

Myth:Deep discounts are a harmless volume lever.

Evidence:Frequent deep promotions retrain reference prices and depress baseline sales between promotions, so measured promo ROI overstates true incrementality.

Myth:Site speed is a technical nice-to-have.

Evidence:Field studies across large retailers repeatedly tie sub-second load improvements to measurable conversion and revenue gains, with mobile most sensitive.

Myth:The more personalized the retargeted ad, the better it performs.

Evidence:In a field experiment with an online travel firm, dynamic ads showing the exact product browsed were on average LESS effective than generic brand ads; specificity only wins once browsing behavior shows preferences have narrowed (e.g. the shopper has started visiting review sites).

Myth:Email is a dying channel for commerce.

Evidence:Triggered commerce email (browse, cart, post-purchase) continues to produce the strongest measured revenue per send of any owned channel.

Myth:A cent is a rounding error.

Evidence:Consumers encode prices left to right, so $2.99 vs $3.00 shifts demand far more than one cent warrants - the left-digit effect, shown across lab and field evidence (Thomas & Morwitz, JCR 2005).

Myth:The link penalty is a LinkedIn-only quirk.

Evidence:It replicates across networks. Sprout Social's LinkedIn test recorded 8,136 impressions for link-in-comment posts vs 3,309 with the link in the body (261 vs 141 engagements). Socialinsider's analysis of 51,054,216 Facebook posts found body links roughly halve engagement potential, and Hootsuite's linkless-tweet experiment found 56% of its top-engaging tweets contained no link.

Myth:Star rating is the only review metric that matters.

Evidence:Meta-analysis of 51 studies (339 volume and 271 valence elasticities): eWOM volume elasticity is 0.236 and valence elasticity 0.417 - with stronger effects on independent review sites and for durable, privately consumed, low-trialability products.

Myth:More reviews always mean more sales.

Evidence:Conversion gains from review volume rise steeply from zero to a few dozen reviews, then flatten; recency and response quality matter more after that.

Myth:A 70% cart abandonment rate means your site is broken.

Evidence:Documented average cart abandonment sits around 70% across dozens of studies; most of it is browsing behaviour, and only a minority is fixable friction.

Myth:One hero image and a spec table is enough.

Evidence:Shoppers rely on image sets to answer objection questions; scale, in-use and detail shots reduce returns as well as lifting conversion.

Myth:Charm pricing (.99) reliably boosts sales.

Evidence:Nine-ending prices produce measurable demand lifts in field experiments, but the effect is modest and can invert for premium positioning.