Research & Analysis Checklist for Digital Marketing

Pull CRM or CDP cohorts with win rate, LTV, payback, and ACV to identify who actually drives profitable growth. Weight personas by revenue contribution, not volume, to focus research and creative on buyers that matter most.

Combine LinkedIn Talent Insights, industry databases, and keyword demand (Google Keyword Planner) to triangulate market size by role, company size, and intent. Use conservative conversion and CAC assumptions to validate realistic SAM for short-term planning.

Benchmark traffic, SERP share, and referral patterns with Similarweb, Semrush, and Ahrefs. Track paid creative volume via Meta Ad Library and TikTok Creative Center to see who is driving mindshare and where gaps exist.

Use SparkToro, GWI, or platform audience insights to learn what your ICP reads, watches, and follows. Prioritize channels based on actual consumption to avoid waste and improve cross-platform consistency.

Classify queries, creative hooks, and offers by problem-aware, solution-aware, and product-aware states. Run on-site polls (Hotjar, Typeform) to capture objections and use them to inform messaging by stage.

Blend Google Trends, Exploding Topics, and internal 24-month performance to forecast seasonal peaks and content decay. Incorporate macro signals like budget cycles or regulatory deadlines to time launches.

Group queries using Semrush/Ahrefs exports and SERP features to identify informational vs transactional clusters. Map clusters to landing pages or hub-and-spoke content to improve topical authority and conversion paths.

Use Ahrefs Content Gap or Semrush Keyword Gap to find missing pages and topics where competitors rank. Prioritize by estimated clicks and business value, not just volume, to accelerate ROI.

Crawl with Screaming Frog or Sitebulb, audit GSC coverage, and check Core Web Vitals via PageSpeed Insights and CrUX. Fix indexation, canonical, and render issues before scaling content velocity.

Target featured snippets, People Also Ask, and video carousels using schema, concise answers, and multimedia embeds. Match format to user expectation to defend against SERP volatility.

Generate an internal link graph, identify orphaned pages, and add contextual links from hubs to spokes. Consolidate thin or overlapping content to strengthen canonical pages and reduce cannibalization.

Measure publish cadence, time-to-index, and ranking decay to set a refresh schedule. Use GSC click curves to prioritize updates that can reclaim lost impressions quickly.

Verify GTM/gtag firing, CAPI events, and deduplication across web and app after iOS 14.5. Confirm events map to GA4 conversions and that parameters (content_id, value, currency) are populated for optimization.

Enforce a casing and delimiter convention and validate Google Ads auto-tagging plus manual UTMs for paid social. Prevent fragmented attribution by locking required params (utm_source, utm_medium, utm_campaign, utm_content).

Pull Google Ads Auction Insights and Meta delivery diagnostics to spot impression share loss, bid caps, and learning phase drag. Adjust budgets by marginal CPA and daypart performance to control volatility.

Consolidate to high-signal groupings (broad + audience signals, Performance Max asset groups, or simplified ad sets). Use first-party lists and modeled audiences to offset tracking gaps and stabilize delivery.

Track frequency, CTR decay, and CPAs by concept rather than ad ID only. Rotate hooks and formats when performance drops 20 percent below cohort average or after retention falls at the same second mark across edits.

Align headlines and hero copy with ad promises, and test page speed and stability on mobile. Monitor Quality Score, expected CTR, and conversion rate to catch mismatches causing wasted spend.

Build boolean queries in Brandwatch, Talkwalker, or Sprout for brand, category, and competitor terms. Monitor volume, sentiment, and topic clusters weekly to spot narrative shifts early.

Use platform analytics to pinpoint first-drop and re-engagement seconds for TikTok, Reels, and Shorts. Rewrite hooks and edit pacing where 3-second or 30-second retention consistently underperforms benchmarks.

Archive best-performing ads from Meta Ad Library, TikTok Creative Center, and YouTube Ads. Tag by hook, angle, and proof type to speed up concept iteration and reduce creative downtime.

Analyze hashtag graphs and Reddit communities to find bridging topics that link your niche to broader conversations. Prioritize creator collaborations where overlap with your ICP is provable.

Use HypeAuditor or Modash to check audience quality, fraud signals, and geographic skew. Compare rate cards to historical CPMs and insist on whitelist rights for paid amplification.

Plan content pillars against emerging trends and product milestones, then publish across platforms within a 24-48 hour window for consistency. Pre-approve modular scripts to keep cadence during spikes.

Validate event names, parameters, and conversion toggles, and confirm deduplication with ad platforms. Ensure key funnels and audiences populate for remarketing and that BigQuery export is enabled for raw analysis.

Configure Consent Mode v2 for EEA and confirm modeled conversions in GA4 and Google Ads. Assess server-side GTM to improve data control and resilience while meeting GDPR/CCPA requirements.

Select a primary model (data-driven or last-click for ops), plus a planning model (MMM or Shapley on aggregated data). Document lookback windows, conversion types, and reconciliation rules to avoid reporting disputes.

Run geo experiments, holdouts, or ghost ads to measure lift for major channels. Prioritize tests where spend is high and attribution is noisy, then turn wins into budget reallocation rules.

Use Looker Studio, Power BI, or Mode with a governed metric layer for CAC, LTV, and payback. Define SLAs for data freshness and annotate campaigns, algorithm changes, and site releases.

Create automated checks in BigQuery or Python to flag spend spikes, conversion drops, or missing tags. Alert via Slack when KPIs deviate beyond control limits so teams can respond within hours, not days.