How Fetch harvests shopping intent

What the published story shows#

Fetch is a shopping rewards app whose Apple campaign presence is covered in Apple own success stories hub materials. Read the pattern directionally: rewards intent harvested in search, brand defended against copycats and pages that show the scan to earn loop in seconds. The Apple Ads hub frames the family.

Shopping CPT medians print near 2.05 dollars in the US in estimated vendor data, per the AppTweak benchmarks. At those prices the earning mechanic must read instantly.

Keep the account consolidated while rewards intent proves out: one harvest campaign with intent split ad groups plus brand defence beats scattered builds that never exit learning. Our consolidation guide sets the maths.

Brand defence against copycats#

Defend brand terms always on: app name, rewards branded phrases and close spellings in exact match with steady bids. Rewards copycats bid on leader names as a matter of routine, and an undefended brand line leaks the cheapest scanners in the account. Our brand and competitor guide sets the split.

Hold brand in its own campaign with its own budget so harvest surges never borrow its cover. Review search terms weekly for copycat conquest and answer with bids while reporting misuse through proper channels.

Rebuild the brand list quarterly as new feature names and seasonal campaign phrases enter search, keeping each spelling as its own exact entry with tailored negatives.

Harvest rewards intent in exact#

Build exact cores around rewards intent phrases: receipt scanning, grocery rewards, gift card earning and cashback style queries users type when they want value back. Split by intent in separate ad groups, each mapped to a page showing that earning path. Our exact match guide and harvesting guide run the build.

Cap broad match and Search Match as feeders while rewards exact proves scanner value, using Search Match caps. Promote proven variants into exact fortnightly and negate freebie hunters that never scan.

Split grocery, fuel and dining rewards into separate ad groups where volume allows, because each vertical converts on different proof and blended groups hide which vertical pays.

Value plain pages earn scanners#

Rewards pages convert on plain earning mechanics: how scanning earns, what points buy and how redemption works, shown above the fold beside the start button. Vague value promises bleed exits, so demonstrate the loop in three screenshots: scan, earn, redeem. Custom pages per intent keep relevance tight, per our custom page setup.

Lead previews with a real receipt scan in motion and the points balance rising, keeping claims modest and checkable. Localise retailer nods and gift card options per market.

Match each page headline to its ad group intent word for word, because a grocery tap landing on fuel creative reads as a miss. Test earn first against redeem first ordering once the keyword core wins.

Measure scanners, not installs#

Judge rewards campaigns on first scans and repeat scanner mix by intent, reconciled across store and MMP rows weekly. Install volume flatters collectors that never scan, so hold budgets to scanner proof. Our reconciliation guide keeps the read honest.

For illustration, a rewards app might hold brand scanner CPA flat while grocery exact scales only as repeat scan rates confirm, widening in small steps. Treat that framing as illustrative method, and ask our team for a shopping structure review.

Hold the rewards read window at six weeks minimum, because scan habits form across shopping cycles. Short windows punish intents that retain well.

Frequently asked questions#