{
  "docId": "019dd923-5f69-752d-a9b9-bc26d9d54e36",
  "docSlug": "bjAgdF0yqlPGSN7U2r7B",
  "documentTitle": "We got an exclusive look at the deck market research disruptor Streetbees used to raise $40 million from Lakestar",
  "authorId": "Pitchdecks",
  "authorName": "Streetbees",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 11,
  "pageCount": 13,
  "prevPage": 10,
  "nextPage": 12,
  "slideType": "solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "Includes a screenshot of Google's 'How are your ads personalized?' interface as a reference point.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "screenshot",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f69-752d-a9b9-bc26d9d54e36/11",
  "deckHref": "/decks/019dd923-5f69-752d-a9b9-bc26d9d54e36",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b9-bc26d9d54e36.json",
  "deckAnchorHref": "/decks/019dd923-5f69-752d-a9b9-bc26d9d54e36#slide-11",
  "components": [
    {
      "bbox": {
        "h": 0.4,
        "w": 0.3,
        "x": 0.68,
        "y": 0.45
      },
      "kind": "callout",
      "text": "Example of some key current breadth of Streetbees variables which we can buy against in Google Ads: Brand choice drivers, Preferred brands, Brands bought, Key words, Health orientated, Youtube usage, Home type, Employer, Google places, Store type, Time of day, Geo-location, Lives with, Income, Gender, Age, Hobbies and interests",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b752bf80-1452-44a6-98d8-be70e7eaed0e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "callout",
      "text": "We help you buy variables more efficiently and keep iterating targets to optimise and drive better conversion",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-d060-7262-bcac-1cf61eb3803b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.35,
        "x": 0.35,
        "y": 0.22
      },
      "kind": "image",
      "text": "Google Ads personalization settings screenshot",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "40d3404f-887c-4bd3-8ec5-6dc0375d0f9d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.3,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "title",
      "text": "We help you buy variables more efficiently and keep iterating targets to optimise and drive better conversion",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ada0670e-4a30-4df1-b620-22baa12e05cd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.75,
        "x": 0.05,
        "y": 0.02
      },
      "kind": "title",
      "text": "From the bottom up, we create custom buyable audiences unique to your target segment to drive returns on ad spend and create buying efficiencies",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "368c57b2-ef69-44a6-94cc-d931f93b72c9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "AIDA Model",
      "slug": "aida-model",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "9fd9629c-a268-4c45-b0fc-fd8602ccc0bf",
      "evidence": "We help you buy variables more efficiently and keep iterating targets to optimise and drive better conversion",
      "confidence": 0.5
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 12,
      "from": 8,
      "beatId": "043af1db-7938-440c-beae-8acf7b5cb141",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Product",
      "beatSlug": "sequoia-pitch-product",
      "evidence": "The deck presents the company's solutions and product demos",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 11,
      "from": 9,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "0c5dba44-0d10-4e0e-a432-b0c384cc6edc",
      "evidence": "The deck presents solutions for partners and product demos",
      "position": 1,
      "objective": "To identify quick wins and big bets",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.6,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}