How We Taught Magic Berry by Example

At a glanceHow We Taught Magic Berry by Example
  1. 1What changed
  2. 2The two layers
  3. 3Pages

We recut the Magic Berry inventory. The first public wall was 38 rows scored too high. The harvest is now a warehouse plus a storefront: full table, strict Who / Where / What, and the actual clips and quotes on the page.

205harvest rows
25highlight berries
2over 20
026–30

What changed

Dennis reviewed the first ship. The wall was thin, the mid-20s were inflated, and the copy sounded like it was arguing for the mentions. The fix was mechanical: harvest more, score harder, embed the source, cut the voice.

  • Warehouse: 205 named public rows — LinkedIn recommendations, named quotes, podcast guest credits from the appearances tracker, articles, videos.
  • Storefront: 25 highlight berries on /high-powered-positive-mentions/, with YouTube embeds where a clip exists and blockquotes that link out.
  • 21+ reserved for important person × big property × documented result. After recut: HubSpot Academy (23) and Tom Ferry show notes (22). Everything else is 20 or under.
  • LinkedIn recs stay in the teens. A peer rec on LinkedIn is volume, not a marquee stage.

The two layers

The article is the storefront. The table on that page and the public CSV are the warehouse. Cam’s MASTER sheet stays private. Forbes and Adweek paraphrases without a live article URL did not get a row. Anonymous “Community Member” blurbs on the old mentions wall did not get a row.

LinkedIn’s public profile currently surfaces two recommendation texts (Mariam Zaidi, Francois Beaudry). Cam’s June 2 logged-in sweep had 15 named recs. Those 15 are on the public harvest as text so they are readable without a login. That is not “a couple hundred.” The volume is the podcast warehouse (619 credited episodes on the appearances tracker; named scored rows in the harvest).

Pages

PieceWhere
Method/magic-berry/
Harvest + wall/high-powered-positive-mentions/
This note/how-we-taught-magic-berry-by-example/
Scoring rule now in the skill: over 20 needs who + where + a result. LinkedIn recs from peers and clients belong on the thorough sheet. They do not become 22s. Who / Where / What stays the triad.

Still open

Garden Theater stage tape: Leo is cutting it from Detroit iPhone footage (Basecamp todo 9980578110). A full LinkedIn recommendations export, if hundreds exist beyond the 15 named recs, still needs a logged-in dump from Cam or Dennis. Dollar-a-Day ads against the HubSpot and Tom Ferry berries are a human Ads Manager step.

August 18, 2026. Related: collection SOP · Content Factory · podcast appearances.

Companion, 19 August 2026: people directories as the berry in URL form — your network is the berry · how we shipped Cam and Dylan.

Dennis Yu
Dennis Yu
Dennis Yu is the CEO of Local Service Spotlight, a platform that amplifies the reputations of contractors and local service businesses using the Content Factory process. He is a former search engine engineer who has spent a billion dollars on Google and Facebook ads for Nike, Quiznos, Ashley Furniture, Red Bull, State Farm, and other brands. Dennis has achieved 25% of his goal of creating a million digital marketing jobs by partnering with universities, professional organizations, and agencies. Through Local Service Spotlight, he teaches the Dollar a Day strategy and Content Factory training to help local service businesses enhance their existing local reputation and make the phone ring. Dennis coaches young adult agency owners serving plumbers, AC technicians, landscapers, roofers, electricians, and believes there should be a standard in measuring local marketing efforts, much like doctors and plumbers must be certified. He has appeared on 353 podcasts with 619 credited episodes — see the full list of his podcast appearances.