Influencer Marketing — Explained with Examples

# campaign_planner.py
def plan_influencer_campaign(budget, audience, platform, goals):
    """
    Plan an influencer campaign based on budget and goals.
    """

    if platform == "youtube":
        avg_cpm = 25  # $25 per 1000 views
        avg_engagement = 0.04
        content_type = "Video review or tutorial"
    elif platform == "instagram":
        avg_cpm = 15
        avg_engagement = 0.03
        content_type = "Photo post + Stories + Reel"
    elif platform == "tiktok":
        avg_cpm = 10
        avg_engagement = 0.06
        content_type = "Short-form video (15-60s)"
    else:
        avg_cpm = 20
        avg_engagement = 0.03
        content_type = "Post or thread"

    # Micro-influencers give best ROI for most niches
    influencer_count = max(1, budget // 2000) if budget > 5000 else max(1, budget // 500)

    print(f"=== Campaign Plan: {platform} ===")
    print(f"Budget: ${budget:,}")
    print(f"Targeting: {audience}")
    print(f"Content type: {content_type}")
    print(f"Influencers: ~{influencer_count} micro-influencers")
    print(f"Estimated reach: {budget // avg_cpm * 1000:,} impressions")
    print(f"Estimated engagement: {(budget // avg_cpm * 1000) * avg_engagement:.0f} interactions")

    print(f"\nTimeline:")
    print(f"  Week 1-2: Research and outreach")
    print(f"  Week 3-4: Negotiate and brief")
    print(f"  Week 5-6: Content creation")
    print(f"  Week 7-8: Post and promote")
    print(f"  Week 9-10: Measure and report")

    return {
        "platform": platform,
        "influencers": influencer_count,
        "estimated_impressions": budget // avg_cpm * 1000,
        "estimated_engagement": (budget // avg_cpm * 1000) * avg_engagement
    }

plan_influencer_campaign(10000, "Java developers (25-45)", "youtube", "brand awareness")

<!-- YouTube influencer campaign tracking -->
<a href="https://dodatech.com/download?ref=influencer-yt&utm_source=youtube&utm_medium=video-review&utm_campaign=spring2026"
   target="_blank" rel="nofollow sponsored"
   data-influencer="techwithtim"
   data-campaign="spring2026">
  Download Doda Browser — Sponsored Review
</a>

<script>
// Track YouTube influencer campaign performance
document.querySelectorAll('[data-influencer]').forEach(link => {
  link.addEventListener('click', function() {
    gtag('event', 'influencer_click', {
      'influencer_name': this.dataset.influencer,
      'campaign': this.dataset.campaign,
      'platform': 'youtube'
    });
  });
});
</script>

# influencer_roi.py
def calculate_influencer_roi(campaign_cost, attributed_revenue,
                              impressions, clicks, conversions):
    """
    Calculate key ROI metrics for an influencer campaign.
    """

    roi = (attributed_revenue - campaign_cost) / campaign_cost * 100
    cpm = campaign_cost / (impressions / 1000)
    cpc = campaign_cost / clicks if clicks > 0 else 0
    conversion_rate = conversions / clicks * 100 if clicks > 0 else 0
    revenue_per_dollar = attributed_revenue / campaign_cost

    print(f"=== Influencer Campaign ROI ===")
    print(f"Campaign cost:         ${campaign_cost:,.2f}")
    print(f"Attributed revenue:    ${attributed_revenue:,.2f}")
    print(f"ROI:                   {roi:+.1f}%")
    print(f"Impressions:           {impressions:,}")
    print(f"Clicks:                {clicks:,}")
    print(f"Conversions:           {conversions:,}")
    print(f"CPM (cost per 1K):     ${cpm:.2f}")
    print(f"CPC (cost per click):  ${cpc:.2f}")
    print(f"Conversion rate:       {conversion_rate:.1f}%")
    print(f"Revenue per $1 spent:  ${revenue_per_dollar:.2f}")

    benchmarks = {
        'roi': (roi > 300, f"Industry avg: 300%"),
        'cpm': (cpm < 25, f"Industry avg: $25 CPM"),
        'conversion_rate': (conversion_rate > 2, f"Industry avg: 2%")
    }

    print(f"\nBenchmarks:")
    for metric, (passed, benchmark) in benchmarks.items():
        status = "PASS" if passed else "BELOW AVG"
        print(f"  {metric:20} {status:12} ({benchmark})")

# Example: DodaTech YouTube campaign
calculate_influencer_roi(
    campaign_cost=8500,
    attributed_revenue=42000,
    impressions=380000,
    clicks=12500,
    conversions=420
)

<!-- Blog disclosure example -->
<p class="disclaimer" style="background:#fef3c7;padding:12px;border-radius:6px;font-size:14px;">
  <strong>Disclosure:</strong> This post is sponsored by DodaTech.
  I received free access to Doda Browser Pro for this review.
  All opinions are my own. As an affiliate, I may earn a commission
  if you purchase through links on this page.
  <a href="/privacy#sponsored-content" target="_blank">Learn more</a>.
</p>