Practical thinking on data, growth, and marketing — from the team behind the dashboards.
Most win-back flows default to an escalating discount ladder that trains customers to wait for the next markdown instead of buying at full price. Here's how to structure a win-back sequence that reactivates without eroding margin.
Visitors who use on-site search convert at meaningfully higher rates than those who don't — but most Shopify stores ship the default search experience and never look at what people are actually typing. Here's what to fix first.
A long-established beauty supply distributor was paying to reach consumers who could never buy from them. Here's how we rebuilt their targeting to reach real buyers, cut wasted spend, and drove a 5% lift in conversion rate.
Competitors and affiliates bidding on your own brand name can quietly siphon off your cheapest, highest-intent traffic. Here's how to tell if it's happening and what actually stops it.
Walmart Marketplace has a fraction of Amazon's seller competition and lower referral fees in several categories — but the integration and fulfillment overhead only pays off past a certain revenue threshold. Here's how to tell if you've crossed it.
A well-built product quiz doesn't just help customers find the right SKU — it consistently outconverts a standard PDP as an ad landing page. Here's how to build one that earns its data collection, not just its conversion lift.
Most D2C brands treat returns purely as a margin problem to minimize. The brands with the best repeat purchase rates treat the return experience itself as a retention touchpoint — here's the difference.
Most Shopify stores only ask for a second sale in the next email campaign. Post-purchase upsells ask at the moment intent is highest — right after checkout — and convert at rates on-site upsells can't match.
Platform attribution and even multi-touch models overstate the channels that get last credit. Marketing mix modeling shows which channels actually drive incremental revenue — here's how to build a lightweight version without a data science team.
Blended repeat purchase rate hides more than it reveals. Cohort analysis shows exactly which acquisition month, channel, or offer produces customers who actually stick around.
Most B2B teams have automation tools but no scoring model, so every lead gets treated the same and sales ignores half of what marketing sends over. Here's how to build scoring sales actually trusts.
Most D2C loyalty programs are glorified point trackers nobody redeems. Here's how to structure one that changes purchase behavior instead of sitting unused in a widget.
